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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":592,"VI":593},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":595},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[599],{"id":600,"createTime":23,"updateTime":23,"relativeEntities":601,"slug":23,"properties":602,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":612,"parentIds":613,"statistic":23},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":603,"address":606,"country":609,"abbreviation":610},{"EN":604,"VI":605},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":607,"VI":608},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":134},{"VOID":611},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":106,"impactFactorByYear":617,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":619,"totalPublicationByYear":620,"totalCitation":625,"totalCitationByYear":626,"totalCitationPerPublication":222,"totalCitationPerPublicationByYear":628,"hindexLast5Year":119,"hindex":119},{"2022":618,"2023":225,"2024":220},0.01,1556,{"2020":161,"2021":621,"2022":622,"2023":623,"2024":624,"2025":236},57,306,801,358,161,{"2021":112,"2022":387,"2023":627},99,{"2021":629,"2022":425,"2023":218},0.23,{"impactFactor":23,"impactFactorByYear":23,"i10Index":237,"i10IndexLast5Year":237,"totalPublication":631,"totalPublicationByYear":632,"totalCitation":631,"totalCitationByYear":633,"totalCitationPerPublication":156,"totalCitationPerPublicationByYear":636,"hindexLast5Year":163,"hindex":163},476,{"0":312,"2019":237,"2021":250,"2022":564,"2023":556,"2024":463,"2025":163,"2026":162},{"2021":24,"2022":237,"2023":269,"2024":634,"2025":466,"2026":635},136,83,{"2021":219,"2022":618,"2023":637,"2024":240,"2025":638,"2026":639},0.62,25.43,13.83,{"id":641,"createTime":642,"updateTime":488,"relativeEntities":643,"slug":644,"properties":645,"entityType":21,"verifyStatus":144,"verifyTime":23,"verifyNote":23,"languages":657,"translateLanguages":23,"viewCount":246,"subjectFields":658,"manageAffiliations":659,"indexDatabases":660,"url":661,"thumbnailPath":662,"statistic":663,"gsStatistic":699,"type":169,"analyzePriority":23},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":646,"issn":647,"title":649,"introduce":652,"gsId":655},{"VOID":134},{"VOID":648},"25252445",{"EN":650,"VI":651},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":653,"VI":654},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. Since then, the journal has grown in quality, size and scope and now comprises a dozen of serials spanning academic research. 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Although, the main text structure may vary based on the review subtopics, the articles should be formatted according to suitable Templates as research articles.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"\\n\"}]}","{\"ops\":[{\"insert\":\"Tạp chí Khoa học Trường ĐHSP Hà Nội 2 nhằm mục đích cung cấp một nền tảng liên ngành của sự phổ biến những tiến bộ của khoa học và công nghệ. Tạp chí xuất bản các bài báo gốc có giá trị khoa học hoặc công nghệ trong tất cả các lĩnh vực khoa học tự nhiên, xã hội hoặc giáo dục.\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Chuyên san Khoa học tự nhiên và công nghệ:\"},{\"insert\":\" Là các bài báo mô tả những phát hiện có giá trị trong vật lý, toán học, hóa học, sinh học; giải quyết các vấn đề kỹ thuật hoặc công nghệ.\"},{\"attributes\":{\"list\":\"bullet\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Chuyên san Khoa học Xã hội và Nhân văn:\"},{\"insert\":\" là các bài báo xuất bản chất lượng cao trong các lĩnh vực khác nhau của khoa học xã hội và nghiên cứu phát triển con người.\"},{\"attributes\":{\"list\":\"bullet\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Chuyên san Khoa học giáo dục:\"},{\"insert\":\" là các bài báo xuất bản trong lĩnh vực khoa học giáo dục và các ứng dụng của tiến bộ vào giáo dục để cải thiện và nâng cao giáo dục khoa học ở tất cả các cấp.\"},{\"attributes\":{\"list\":\"bullet\"},\"insert\":\"\\n\"},{\"insert\":\"Tạp chí trường ĐHSP Hà Nội 2 xuất bản được phản biện kín, xét duyệt bởi ít nhất 02 chuyên gia, và được đánh giá, chọn lựa từ ban biên tập và Tổng biên tập.\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Các loại bài báo\"},{\"insert\":\":\\nBài báo nghiên cứu:\"},{\"attributes\":{\"list\":\"ordered\"},\"insert\":\"\\n\"},{\"insert\":\"Báo cáo học thuật về nghiên cứu ban đầu chưa từng được xuất bản ở bất kỳ nơi nào, hay bằng bất kỳ ngôn ngữ nào khác. Bản thảo thích hợp, nên chứa các phần sau theo thứ tự: Tiêu đề, Tác giả, Liên kết tác giả, Địa chỉ email của tác giả tương ứng, Tóm tắt, Từ khóa, Danh pháp (nếu có), Giới thiệu, Thử nghiệm, Lý thuyết, Kết quả và thảo luận, Kết luận, Xung đột quan tâm, Lời cảm ơn (nếu có), Tài liệu tham khảo, Phụ lục (nếu có). Bản xuất bản trước phải được định dạng theo Mẫu (phiên bản MS-Word).\\n2. Bài báo tổng quan:\\nNgoài các bài phê bình được mời, các bài phê bình tài liệu, bài phê bình có hệ thống và bài phê bình sẽ được chấp nhận để xem xét. Bản thảo cần được soạn thảo và sắp xếp theo trình tự yêu cầu: Tên sách, Tên tác giả, Liên kết, Địa chỉ email, Tóm tắt, Từ khóa, Nội dung chính, Kết luận, Xung đột lợi ích, Lời cảm ơn (nếu có), Tài liệu tham khảo. Mặc dù, cấu trúc văn bản chính có thể thay đổi dựa trên các chủ đề phụ của bài đánh giá, các bài báo nên được định dạng theo các Mẫu phù hợp như các bài báo nghiên cứu.\\n\"}]}",{"VOID":831},"YPoBvsIAAAAJ",[],[],[],"https:\u002F\u002Fsj.hpu2.edu.vn\u002Findex.php\u002Fjournal","\u002Fapi\u002Fpublic\u002Ffile\u002Fpublisher\u002F954132b5-ca74-461c-b819-45ad6e49a404\u002F2790ef1d0a7d7a40a504c2fc1647f670.jpg",{"impactFactor":106,"impactFactorByYear":838,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":436,"totalPublicationByYear":840,"totalCitation":247,"totalCitationByYear":841,"totalCitationPerPublication":629,"totalCitationPerPublicationByYear":842,"hindexLast5Year":237,"hindex":237},{"2024":839},0.17,{"2022":248,"2023":385,"2024":253},{"2022":463,"2023":114,"2024":237},{"2022":276,"2023":331,"2024":272},{"impactFactor":23,"impactFactorByYear":23,"i10Index":119,"i10IndexLast5Year":119,"totalPublication":437,"totalPublicationByYear":844,"totalCitation":263,"totalCitationByYear":845,"totalCitationPerPublication":846,"totalCitationPerPublicationByYear":847,"hindexLast5Year":160,"hindex":160},{"0":237,"2022":247,"2023":248,"2024":183,"2025":256},{"2023":160,"2024":248,"2025":308,"2026":385},1.22,{"2023":227,"2024":447,"2025":848},4.56,{"id":850,"createTime":851,"updateTime":852,"relativeEntities":853,"slug":854,"properties":855,"entityType":21,"verifyStatus":144,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":183,"subjectFields":867,"manageAffiliations":868,"indexDatabases":876,"url":916,"thumbnailPath":23,"statistic":917,"gsStatistic":949,"type":169,"analyzePriority":23},"21ccdb34-414d-420f-8a60-a592a2fa848e","2023-05-29T10:42:53.358+00:00","2026-08-27T01:57:29.560+00:00",[],"Vietnam-Journal-of-Earth-Sciences",{"country":856,"eissn":857,"issn":859,"title":861,"introduce":863,"gsId":865},{"VOID":134},{"VOID":858},"26159783",{"VOID":860},"08667187",{"EN":862},"Vietnam Journal of Earth Sciences",{"EN":864},"Science of the Earth, formerly Vietnam Journal of Earth Sciences, is a peer-reviewed journal to publish high-quality articles on the entire range of earth sciences and the environment, focused on the Asia Pacific region and their correlations and connections to the globe. The journal publishes fundamental and applied research in earth sciences and the environment, including geology, geophysics, geography, soil science, hydrology, meteorology, oceanography, petroleum, geohazards, environmental sciences, environmental engineering, sustainable development, geoinformatics, geodesy, GIS, and remote sensing.",{"VOID":866},"5htfr3YAAAAJ",[],[869],{"id":187,"createTime":23,"updateTime":23,"relativeEntities":870,"slug":23,"properties":871,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":196,"parentIds":875,"statistic":23},[],{"title":872,"country":873,"abbreviation":874},{"EN":191,"VI":192},{"VOID":134},{"VOID":195},[],[877,889,900],{"id":878,"indexDatabase":879,"url":884,"indexYears":885,"academicFieldIds":886,"indexDatabaseRanking":888},"6ace2085-a177-4a27-b309-8813b832111e",{"id":70,"createTime":23,"updateTime":23,"relativeEntities":880,"label":881,"description":882,"key":76,"publicationTags":883,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],"https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21101039869","2018-2024",[887],"1689391c-5702-4349-aaa7-d720ee4321fc","NONE",{"id":890,"indexDatabase":891,"url":896,"indexYears":897,"academicFieldIds":898,"indexDatabaseRanking":23},"dadb15a8-ee22-41c2-a287-49e969d9a998",{"id":202,"createTime":23,"updateTime":23,"relativeEntities":892,"label":893,"description":894,"key":208,"publicationTags":895,"standard":23},[],{"EN":205,"VI":205},{"EN":207,"VI":207},[210],"https:\u002F\u002Fasean-cites.org\u002Fjournal_info?jid=10629","2016-2022",[899],"e04f14cf-280b-4aa8-b711-b77ddd79cbaf",{"id":901,"indexDatabase":902,"url":913,"indexYears":23,"academicFieldIds":914,"indexDatabaseRanking":23},"06f278ee-37b9-41eb-a9b0-3d2d77fa502b",{"id":903,"createTime":23,"updateTime":23,"relativeEntities":904,"label":905,"description":907,"key":910,"publicationTags":911,"standard":23},"88bab0f7-443b-476c-a72a-7fa5222da393",[],{"EN":906,"VI":906},"ISI\u002FESCI  - Emerging Sources Citation Index",{"EN":908,"VI":909},"ESCI database","Cơ sở dữ liệu ESCI","esci",[912,100],"ESCI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0866-7187",[915],"0db73426-2364-455f-81a4-efe0f91d712e","https:\u002F\u002Fvjs.ac.vn\u002Findex.php\u002Fjse\u002F",{"impactFactor":106,"impactFactorByYear":918,"i10Index":260,"i10IndexLast5Year":245,"totalPublication":923,"totalPublicationByYear":924,"totalCitation":926,"totalCitationByYear":927,"totalCitationPerPublication":937,"totalCitationPerPublicationByYear":938,"hindexLast5Year":242,"hindex":242},{"2007":618,"2008":618,"2010":618,"2011":221,"2012":618,"2013":618,"2014":424,"2015":221,"2016":168,"2017":275,"2018":329,"2019":919,"2020":920,"2021":477,"2022":550,"2023":921,"2024":922},1.03,1.08,1.49,1.43,1180,{"2000":794,"2001":793,"2002":388,"2003":268,"2004":386,"2005":432,"2006":621,"2007":116,"2008":307,"2009":110,"2010":541,"2011":925,"2012":118,"2013":794,"2014":387,"2015":261,"2016":259,"2017":115,"2018":117,"2019":257,"2020":261,"2021":183,"2022":115,"2023":387,"2024":250,"2025":119},79,2421,{"2000":312,"2001":165,"2002":256,"2003":112,"2004":114,"2005":165,"2006":243,"2007":241,"2008":240,"2009":261,"2010":236,"2011":116,"2012":672,"2013":307,"2014":928,"2015":792,"2016":929,"2017":930,"2018":931,"2019":932,"2020":933,"2021":934,"2022":935,"2023":936,"2024":256,"2025":156},73,197,219,380,281,328,148,183,160,2.05,{"2000":471,"2001":275,"2002":471,"2003":274,"2004":275,"2005":235,"2006":331,"2007":939,"2008":232,"2009":473,"2010":391,"2011":277,"2012":812,"2013":798,"2014":921,"2015":940,"2016":941,"2017":942,"2018":943,"2019":944,"2020":945,"2021":946,"2022":947,"2023":948,"2024":166,"2025":275},0.47,1.91,4.93,7.3,11.52,9.06,7.63,5.1,6.1,3.27,{"impactFactor":23,"impactFactorByYear":23,"i10Index":540,"i10IndexLast5Year":264,"totalPublication":243,"totalPublicationByYear":950,"totalCitation":951,"totalCitationByYear":952,"totalCitationPerPublication":959,"totalCitationPerPublicationByYear":960,"hindexLast5Year":248,"hindex":246},{"1017":156,"2015":156,"2016":237,"2017":24,"2018":24,"2019":156,"2020":119,"2022":237,"2023":237,"2024":156},3528,{"2014":430,"2015":251,"2016":308,"2017":266,"2018":627,"2019":718,"2020":953,"2021":954,"2022":806,"2023":955,"2024":956,"2025":957,"2026":958},280,403,436,525,589,366,176.4,{"2015":251,"2016":961,"2017":247,"2018":117,"2019":718,"2020":267,"2022":962,"2023":963,"2024":956},20.5,212.5,218,{"meta":965,"data":967},{"total":966},"505",[968,1140,1236,1371,1532,1752,1887,2027,2224,2513],{"id":969,"createTime":970,"updateTime":971,"relativeEntities":972,"slug":973,"properties":974,"entityType":983,"verifyStatus":144,"verifyTime":971,"verifyNote":984,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":985,"fullTextUrl":23,"authors":986,"publicationType":1074,"publisherRelationship":1075,"citationCount":23,"citationInfo":23,"publishDate":1136,"publishYear":1137,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1138,"openAccess":23,"references":23,"isForceReanalyzing":1139},"00084127-062e-4445-b454-51906d340c6d","2024-01-09T13:05:56.445+00:00","2025-02-25T09:57:23.955+00:00",[],"Radiation-doses-from-161Tb-and-177Lu-in-single-tumour-cells-and-micrometastases",{"abstract":975,"title":977,"references":979,"doi":981},{"EN":976},"Targeted radionuclide therapy (TRT) is gaining importance. For TRT to be also used as adjuvant therapy or for treating minimal residual disease, there is a need to increase the radiation dose to small tumours. The aim of this in silico study was to compare the performances of 161Tb (a medium-energy β− emitter with additional Auger and conversion electron emissions) and 177Lu for irradiating single tumour cells and micrometastases, with various distributions of the radionuclide. We used the Monte Carlo track-structure (MCTS) code CELLDOSE to compute the radiation doses delivered by 161Tb and 177Lu to single cells (14 μm cell diameter with 10 μm nucleus diameter) and to a tumour cluster consisting of a central cell surrounded by two layers of cells (18 neighbours). We focused the analysis on the absorbed dose to the nucleus of the single tumoral cell and to the nuclei of the cells in the cluster. For both radionuclides, the simulations were run assuming that 1 MeV was released per μm3 (1436 MeV\u002Fcell). We considered various distributions of the radionuclides: either at the cell surface, intracytoplasmic or intranuclear. For the single cell, the dose to the nucleus was substantially higher with 161Tb compared to 177Lu, regardless of the radionuclide distribution: 5.0 Gy vs. 1.9 Gy in the case of cell surface distribution; 8.3 Gy vs. 3.0 Gy for intracytoplasmic distribution; and 38.6 Gy vs. 10.7 Gy for intranuclear location. With the addition of the neighbouring cells, the radiation doses increased, but remained consistently higher for 161Tb compared to 177Lu. For example, the dose to the nucleus of the central cell of the cluster was 15.1 Gy for 161Tb and 7.2 Gy for 177Lu in the case of cell surface distribution of the radionuclide, 17.9 Gy for 161Tb and 8.3 Gy for 177Lu for intracytoplasmic distribution and 47.8 Gy for 161Tb and 15.7 Gy for 177Lu in the case of intranuclear location. 161Tb should be a better candidate than 177Lu for irradiating single tumour cells and micrometastases, regardless of the radionuclide distribution.",{"EN":978},"Radiation doses from 161Tb and 177Lu in single tumour cells and micrometastases",{"VOID":980},"Knapp FF, Dash A. Radiopharmaceuticals for therapy. New Delhi: Springer; 2016.\nLanconelli N, Pacilio M, Lo Meo S, Botta F, Di Dia A, Aroche AT, Pérez MAC, Cremonesi M. A free database of radionuclide voxel S values for the dosimetry of nonuniform activity distributions. Phys Med Biol. 2012; 57:517–33. https:\u002F\u002Fdoi.org\u002F10.1088\u002F0031-9155\u002F57\u002F2\u002F517.\nReiner D, Blaickner M, Rattay F. Discrete beta dose kernel matrices for nuclides applied in targeted radionuclide therapy (TRT) calculated with MCNP5. Med Phys. 2009; 36:4890–6. https:\u002F\u002Fdoi.org\u002F10.1118\u002F1.3231995.\nMorschhauser F, Radford J, Van Hoof A, Botto B, Rohatiner AZ, Salles G, Soubeyran P, Tilly H, Bischof-Delaloye A, van Putten WL, Kylstra JW, Hagenbeek A. 90Yttrium-ibritumomab tiuxetan consolidation of first remission in advanced-stage follicular non-Hodgkin lymphoma: updated results after a median follow-up of 7.3 years from the international, randomized, phase III first-line indolent trial. J Clin Oncol. 2013; 31:1977–83. https:\u002F\u002Fdoi.org\u002F10.1200\u002Fjco.2012.45.6400.\nStrosberg J, El-Haddad G, Wolin E, Hendifar A, Yao J, Chasen B, Mittra E, Kunz PL, Kulke MH, Jacene H, Bushnell D, O’Dorisio TM, Baum RP, Kulkarni HR, Caplin M, Lebtahi R, Hobday T, Delpassand E, Van Cutsem E, Benson A, Srirajaskanthan R, Pavel M, Mora J, Berlin J, Grande E, Reed N, Seregni E, Oberg K, Lopera Sierra M, Santoro P, Thevenet T, Erion JL, Ruszniewski P, Kwekkeboom D, Krenning E. Phase 3 trial of 177Lu-DOTATATE for midgut neuroendocrine tumors. N Engl J Med. 2017; 376:125–35. https:\u002F\u002Fdoi.org\u002F10.1056\u002FNEJMoa1607427.\nHofman MS, Violet J, Hicks RJ, Ferdinandus J, Thang SP, Akhurst T, Iravani A, Kong G, Ravi Kumar A, Murphy DG, Eu P, Jackson P, Scalzo M, Williams SG, Sandhu S. [ 177Lu]-PSMA-617 radionuclide treatment in patients with metastatic castration-resistant prostate cancer (LuPSMA trial): a single-centre, single-arm, phase 2 study. Lancet Oncol. 2018; 19:825–33. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fs1470-2045(18)30198-0.\nO’Donoghue J, Bardiès M, Wheldon T. Relationships between tumor size and curability for uniformly targeted therapy with beta-emitting radionuclides. J Nucl Med. 1995; 36:1902–9.\nde Jong M, Valkema R, Jamar F, Kvols LK, Kwekkeboom DJ, Breeman WA, Bakker WH, Smith C, Pauwels S, Krenning EP. Somatostatin receptor-targeted radionuclide therapy of tumors: preclinical and clinical findings. Semin Nucl Med. 2002; 32:133–40. https:\u002F\u002Fdoi.org\u002F10.1053\u002Fsnuc.2002.31027.\nde Jong M, Breeman WA, Valkema R, Bernard BF, Krenning EP. Combination radionuclide therapy using 177Lu and 90Y-labeled somatostatin analogs. J Nucl Med. 2005; 46:13.\nHindié E, Zanotti-Fregonara P, Quinto MA, Morgat C, Champion C. Dose deposits from 90Y, 177Lu, 111In, and 161Tb in micrometastases of various sizes: Implications for radiopharmaceutical therapy. J Nucl Med. 2016; 57:759–64. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.115.170423.\nUusijärvi H, Bernhardt P, Rösch F, Maecke HR, Forssell-Aronsson E. Electron- and positron-emitting radiolanthanides for therapy: aspects of dosimetry and production. J Nucl Med. 2006; 47:807–14.\nChampion C, Quinto MA, Morgat C, Zanotti-Fregonara P, Hindié E. Comparison between three promising β-emitting radionuclides, 67Cu, 47Sc and 161Tb, with emphasis on doses delivered to minimal residual disease. Theranostics. 2016; 6:1611–8. https:\u002F\u002Fdoi.org\u002F10.7150\u002Fthno.15132.\nMüller C, Reber J, Haller S, Dorrer H, Bernhardt P, Zhernosekov K, Türler A, Schibli R. Direct in vitro and in vivo comparison of 161Tb and 177Lu using a tumour-targeting folate conjugate. Eur J Nucl Med Mol Imaging. 2014; 41:476–85. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-013-2563-z.\nGrünberg J, Lindenblatt D, Dorrer H, Cohrs S, Zhernosekov K, Köster U, Türler A, Fischer E, Schibli R. Anti-L1CAM radioimmunotherapy is more effective with the radiolanthanide terbium-161 compared to lutetium-177 in an ovarian cancer model. Eur J Nucl Med Mol Imaging. 2014; 41:1907–15. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-014-2798-3.\nMüller C, Umbricht CA, Gracheva N, Tschan VJ, Pellegrini G, Bernhardt P, Zeevaart JR, Köster U, Schibli R, van der Meulen NP. Terbium-161 for PSMA-targeted radionuclide therapy of prostate cancer. Eur J Nucl Med Mol Imaging. 2019; 46:1919–30. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-019-04345-0.\nLehenberger S, Barkhausen C, Cohrs S, Fischer E, Grünberg J, Hohn A, Köster U, Schibli R, Türler A, Zhernosekov K. The low-energy β− and electron emitter 161Tb as an alternative to 177Lu for targeted radionuclide therapy. Nucl Med Biol. 2011; 38:917–24. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.nucmedbio.2011.02.007.\nHaller S, Pellegrini G, Vermeulen C, van der Meulen NP, Köster U, Bernhardt P, Schibli R, Müller C. Contribution of Auger\u002Fconversion electrons to renal side effects after radionuclide therapy: preclinical comparison of 161Tb-folate and 177Lu-folate. EJNMMI Res. 2016; 6:13. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13550-016-0171-1.\nGracheva N, Müller C, Talip Z, Heinitz S, Köster U, Zeevaart JR, Vögele A, Schibli R, van der Meulen NP. Production and characterization of no-carrier-added 161Ttb as an alternative to the clinically-applied 177Lu for radionuclide therapy. EJNMMI Radiopharm Chem. 2019; 4:12. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs41181-019-0063-6.\nMüller C, Zhernosekov K, Köster U, Johnston K, Dorrer H, Hohn A, van der Walt NT, Türler A, Schibli R. A unique matched quadruplet of terbium radioisotopes for PET and SPECT and for α- and β− radionuclide therapy: an in vivo proof-of-concept study with a new receptor-targeted folate derivative. J Nucl Med. 2012; 53:1951–9. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.112.107540.\nZhang J, Singh A, Kulkarni HR, Schuchardt C, Müller D, Wester H-J, Maina T, Rösch F, van der Meulen NP, Müller C, Mäcke H, Baum RP. From bench to bedside—the bad Berka experience with first-in-human studies. Semin Nucl Med. 2019; 49:422–37. https:\u002F\u002Fdoi.org\u002F10.1053\u002Fj.semnuclmed.2019.06.002.\nChampion C, Zanotti-Fregonara P, Hindié E. Celldose: A Monte Carlo code to assess electron dose distribution S values for 131i in spheres of various sizes. J Nucl Med. 2008; 49:151–7. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.107.045179.\nHindié E, Champion C, Zanotti-Fregonara P, Rubello D, Colas-Linhart N, Ravasi L, Moretti J-L. Calculation of electron dose to target cells in a complex environment by Monte Carlo code \"CELLDOSE\". Eur J Nucl Med Mol Imaging. 2009; 36:130–6. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-008-0893-z.\nInternational Commission on Radiological Protection. Nuclear Decay Data for Dosimetric Calculations. ICRP Publication 107. Ann. ICRP2008;38.\nHurst RE, Bastian A, Bailey-Downs L, Ihnat MA. Targeting dormant micrometastases: rationale, evidence to date and clinical implications. Ther Adv Med Oncol. 2016; 8:126–37. https:\u002F\u002Fdoi.org\u002F10.1177\u002F1758834015624277.\nCortés-Hernández LE, Eslami-S Z, Pantel K, Alix-Panabières C. Molecular and functional characterization of circulating tumor cells: from discovery to clinical application. Clin Chem. 2019. https:\u002F\u002Fdoi.org\u002F10.1373\u002Fclinchem.2019.303586.\nPantel K, Alix-Panabières C. Liquid biopsy and minimal residual disease — latest advances and implications for cure. Nat Rev Clin Oncol. 2019; 16:409–24. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41571-019-0187-3.\nSahlmann C-O, Homayounfar K, Niessner M, Dyczkowski J, Conradi L-C, Braulke F, Meller B, Beißbarth T, Ghadimi BM, Meller J, Goldenberg DM, Liersch T. Repeated adjuvant anti-CEA radioimmunotherapy after resection of colorectal liver metastases: safety, feasibility, and long-term efficacy results of a prospective phase 2 study. Cancer. 2017; 123:638–49. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fcncr.30390.\nCornelissen B. Imaging the inside of a tumour: a review of radionuclide imaging and theranostics targeting intracellular epitopes. J Labelled Comp Radiopharm. 2014; 57:310–6. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjlcr.3152.\nYorke ED, Williams LE, Demidecki AJ, Heidorn DB, Roberson PL, Wessels BW. Multicellular dosimetry for beta-emitting radionuclides: autoradiography, thermoluminescent dosimetry and three-dimensional dose calculations. Med Phys. 1993; 20:543–50. https:\u002F\u002Fdoi.org\u002F10.1118\u002F1.597050.\nSchollhammer R, de Clermont Gallerande H, Yacoub M, Quintyn Ranty M-L, Barthe N, Vimont D, Hindié E, Fernandez P, Morgat C. Comparison of the radiolabeled PSMA-inhibitor 111In-PSMA-617 and the radiolabeled GRP-R antagonist 111In-RM2 in primary prostate cancer samples. EJNMMI Res. 2019; 9:52. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13550-019-0517-6.\nPuncher MR, Blower PJ. Radionuclide targeting and dosimetry at the microscopic level: the role of microautoradiography. Eur J Nucl Med. 1994; 21:1347–65. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fbf02426701.\nAlberts B, Johnson A, Lewis J, Raff M, Roberts K, Walter P. Molecular biology of the cell, 4th edn. New York: Garland Science; 2002, p. 197.\nJevtić P, Edens LJ, Vuković LD, Levy DL. Sizing and shaping the nucleus: mechanisms and significance. Curr Opin Cell Biol. 2014; 28:16–27. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ceb.2014.01.003.\nGoddu SM, Rao DV, Howell RW. Multicellular dosimetry for micrometastases: dependence of self-dose versus cross-dose to cell nuclei on type and energy of radiation and subcellular distribution of radionuclides. J Nucl Med. 1994; 35:521–30.\nTamborino G, de Saint-Hubert M, Struelens L, Seoane DC, Ruigrok EAM, Aerts, van Cappellen WA, de Jong M, Konijnenberg MW, Nonnekens J. Cellular dosimetry of [ 177Lu]Lu-DOTA-[Tyr 3]octreotate radionuclide therapy: the impact of modeling assumptions on the correlation with in vitro cytotoxicity. EJNMMI Phys. 2020; 7:8. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40658-020-0276-5.\nReubi JC, Schär JC, Waser B, Wenger S, Heppeler A, Schmitt JS, Mäcke HR. Affinity profiles for human somatostatin receptor subtypes SST1-SST5 of somatostatin radiotracers selected for scintigraphic and radiotherapeutic use. Eur J Nucl Med. 2000; 27:273–82. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs002590050034.\nFani M, Braun F, Waser B, Beetschen K, Cescato R, Erchegyi J, Rivier JE, Weber WA, Maecke HR, Reubi JC. Unexpected sensitivity of sst 2 antagonists to N-terminal radiometal modifications. J Nucl Med. 2012; 53:1481–9. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.112.102764.\nChastel A, Worm DJ, Alves ID, Vimont D, Petrel M, Fernandez S, Garrigue P, Fernandez P, Hindié E, Beck-Sickinger AG, Morgat C. Design, synthesis, and biological evaluation of a multifunctional neuropeptide-Y conjugate for selective nuclear delivery of radiolanthanides. EJNMMI Res. 2020; 10:16. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13550-020-0612-8.",{"VOID":982},"10.1186\u002Fs40658-020-00301-2","PUBLICATION","Auto Verify","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-020-00301-2",[987,1003,1018,1033,1048,1061],{"id":988,"sortIndex":106,"researcher":23,"roles":989,"affiliations":991,"properties":1000,"displayName":1002,"givenName":23,"familyName":23},"7fdd54b7-debd-4a40-9ca2-d15c4b32cb51",[990],"AUTHOR",[992],{"id":993,"sortIndex":106,"affiliation":994,"properties":23},"86f4646c-3090-402e-9750-73fdf5c6f338",{"id":993,"createTime":23,"updateTime":23,"relativeEntities":995,"slug":23,"properties":996,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":999,"statistic":23},[],{"title":997},{"VI":998},"Centre Lasers Intenses et Applications, Université de Bordeaux – CNRS – CEA, Talence, France",[],{"title":1001},{"VI":1002},"Mario E. 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a technical perspective, there are fundamentally two forces driving the evolution of instrumentation in positron emission tomography (PET) and nuclear medicine generally: clinical needs and technical innovation. This essay considers some of the dynamics of these forces as they act on physics-related developments in PET and suggests that progress will be greatest if these differing motivations are kept in balance as the field evolves.",{"EN":1150},"The dynamics of physics in PET",{"VOID":1152},"Bailey DL: Thirty years from now: future physics contributions in nuclear medicine. EJNMMI Physics 2014,, 1: 4.\nEll PJ: The contribution of medical physics to nuclear medicine: a physician’s perspective. EJNMMI Physics 2014,, 1: 3.\nHutton BF: The contribution of medical physics to nuclear medicine: looking back-a physicist’s perspective. EJNMMI Physics 2014,, 1: 2.\nMankoff DA, Pryma DA: The contribution of physics to nuclear medicine: physicians’ perspective on future directions. EJNMMI Physics 2014,, 1: 5.\nDahlbom M, Hoffman EJ, Hoh CK, Schiepers C, Rosenqvist G, Hawkins RA, Phelps ME: Whole-body positron emission tomography: part I Methods and performance characteristics. J Nucl Med 1992,33(6):1191–1199.\nSiemens Healthcare: First comprehensive amyloid imaging solution. [http:\u002F\u002Fwww.healthcare.siemens.com\u002Fmolecular-imaging\u002Ffirst-comprehensive-amyloid-imaging-solution]\nJones T: Historical development of functional in vivo studies using positron-emitting tracers. In Positron Emission Tomography: Basic Sciences. Edited by: Valk PE, Bailey DL, Townsend DW, Maisey MN. New York: Springer; 2003:3–40.\nBadawi RD, Marsden PK, Cronin BF, Sutcliffe JL, Maisey MN: Optimization of noise-equivalent count rates in 3D PET. Phys Med Biol 1996,41(9):1755–1776.\nPhilips Healthcare: Vereos PET-CT—radiology. [http:\u002F\u002Fwww.healthcare.philips.com\u002Fus_en\u002Fclinicalspecialities\u002Fradiology\u002Fsolutions\u002Fvereos.html#module=USP1b]\nMiddle East Business News and Information: GE healthcare presents innovative technologies to advance cancer diagnosis in the Middle East at Arab Health 2014. [http:\u002F\u002Fmid-east.info\u002Fge-healthcare-presentsinnovative-technologies-to-advance-cancer-diagnosis-in-the-middle-east-at-arab-health-2014–16775]\nPichler BJ, Miller SM, Hamill JJ, Gremillion T, Weber WA, Bendriem B: Evaluation of the NaI-LSO-hybrid detector PET-SPECT system: dual isotope scans and first patient studies. Eur J Nucl Med Mol Imaging 2002,29(1 Sup):109.\nBeyer T, Townsend DW, Brun T, Kinahan PE, Charron M, Roddy R, Jerin J, Young J, Byars L, Nutt R: A combined PET\u002FCT scanner for clinical oncology. J Nucl Med 2000,41(8):1369–1379.\nMoses WW: Time of flight in PET revisited. IEEE Trans Nuc Sci 2003,50(5):1325–1330.\nRezaei A, Defrise M, Bal G, Michel C, Conti M, Watson C, Nuyts J: Simultaneous reconstruction of activity and attenuation in time-of-flight PET. IEEE Trans Med Img 2012,31(12):2224–2233.\nNuyts J, Bal G, Kehren F, Fenchel M, Michel C, Watson C: Completion of a truncated attenuation image from the attenuated PET emission data. IEEE Trans Med Img 2013,32(2):237–246.\nWatson CC: Supplemental transmission method for improved PET attenuation correction on an integrated MR\u002FPET. Nucl Instrum Methods Phys Res A 2014,734(B):191–195.\nMollet P, Keereman V, Clementel E, Vandenberghe S: Simultaneous MR-compatible emission and transmission imaging for PET using time-of-flight information. IEEE Trans Med Img 2012,31(9):1734–1742.",{"VOID":1154},"10.1186\u002F2197-7364-1-6","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002F2197-7364-1-6",[1157],{"id":1158,"sortIndex":106,"researcher":23,"roles":1159,"affiliations":1160,"properties":1169,"displayName":1171,"givenName":23,"familyName":23},"c5d782e5-bddd-438a-b483-6f121624e190",[990],[1161],{"id":1162,"sortIndex":106,"affiliation":1163,"properties":23},"c482532f-badd-4c13-acb8-fece635933ae",{"id":1162,"createTime":23,"updateTime":23,"relativeEntities":1164,"slug":23,"properties":1165,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1168,"statistic":23},[],{"title":1166},{"VI":1167},"Siemens Healthcare, Knoxville, USA",[],{"title":1170},{"VI":1171},"Charles C Watson",{"url":1155,"publisher":1173,"properties":1228},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1174,"slug":10,"properties":1175,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":1180,"manageAffiliations":1197,"indexDatabases":1208,"url":104,"thumbnailPath":23,"statistic":1223,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":1176,"eissn":1177,"issn":1178,"title":1179},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[1181,1185,1189,1193],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":1182,"label":1183,"description":1184,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":1186,"label":1187,"description":1188,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":1190,"label":1191,"description":1192,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":1194,"label":1195,"description":1196,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":48},{},[1198,1203],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":1199,"slug":23,"properties":1200,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1202,"statistic":23},[],{"title":1201},{"EN":56},[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":1204,"slug":23,"properties":1205,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1207,"statistic":23},[],{"title":1206},{"EN":63},[65],[1209,1216],{"id":68,"indexDatabase":1210,"url":79,"indexYears":80,"academicFieldIds":1215,"indexDatabaseRanking":86},{"id":70,"createTime":23,"updateTime":23,"relativeEntities":1211,"label":1212,"description":1213,"key":76,"publicationTags":1214,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83,84,85],{"id":88,"indexDatabase":1217,"url":101,"indexYears":23,"academicFieldIds":1222,"indexDatabaseRanking":23},{"id":90,"createTime":23,"updateTime":23,"relativeEntities":1218,"label":1219,"description":1220,"key":97,"publicationTags":1221,"standard":23},[],{"EN":93,"VI":93},{"EN":95,"VI":96},[99,100],[103],{"impactFactor":106,"impactFactorByYear":1224,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":1225,"totalCitation":106,"totalCitationByYear":1226,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":1227,"hindexLast5Year":106,"hindex":106},{},{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},{},{},{"pages":1229,"volume":1231},{"VOID":1230},"1-4",{"VOID":1232},"1","2014-06-03",2014,[99,86],{"id":1237,"createTime":1238,"updateTime":1239,"relativeEntities":1240,"slug":1241,"properties":1242,"entityType":983,"verifyStatus":144,"verifyTime":1239,"verifyNote":984,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":1251,"fullTextUrl":23,"authors":1252,"publicationType":1074,"publisherRelationship":1307,"citationCount":23,"citationInfo":23,"publishDate":1368,"publishYear":1369,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1370,"openAccess":23,"references":23,"isForceReanalyzing":1139},"006f4e6d-043a-42a5-89e4-235f352fa654","2023-12-27T12:00:32.900+00:00","2024-12-16T18:26:46.835+00:00",[],"Measurement-of-cardiovascular-function-using-a-novel-view-sharing-PET-reconstruction-method-and-tracer-kinetic-analysis",{"abstract":1243,"title":1245,"references":1247,"doi":1249},{"EN":1244},"Recent advancements in PET instrumentation have made the non-invasive assessment of cardiovascular function in small animals a reality. The majority of small animal PET systems use stationary detector gantries, thus affording high temporal resolution imaging of cardiac function. Systems designed to maximize spatial resolution and detection sensitivity employing rotating gantry designs are suboptimal when high temporal resolution imaging is needed. To overcome this limitation, the current work developed a novel view-sharing data analysis scheme suitable for dynamic cardiac PET imaging using 18F-NaF as the tracer and tracer kinetic model analysis. This scheme was tested in a rat model of cardiovascular function where the relationship between direct transonic flow measures of cardiac output were highly correlated (f(x) = 1.0216x − 24.233, R = 0.9158, p \u003C 0.001) with the new model. Similarly, derived measures of stroke volume were also highly correlated (f(x) = 0.9655x − 0.0428, R = 0.9453, p \u003C 0.001) with the current approach. Administration of xylazine caused a statistically significant increase in stroke volume (0.32 ± 0.07 ml, p = 0.003, n = 4) and a significant decrease in both heart rate (−155 ± 7.1 beats\u002Fmin, p \u003C 0.001, n = 4) and cardiac output (−75.9 ± 23.0 ml\u002Fkg min, p = 0.01, n = 4). These findings suggest that the new sinogram binning and kinetic modeling methods produce reliable cardiac function measures suitable for longitudinal monitoring of cardiovascular function.",{"EN":1246},"Measurement of cardiovascular function using a novel view-sharing PET reconstruction method and tracer kinetic analysis",{"VOID":1248},"Walsh GM, Tsuchiya M, Frohlich ED. Direct Fick application for measurement of cardiac output in rat. J Appl Physiol. 1976;40:849–53.\nWen C, Li M, Whitworth JA. Validation of transonic small animal flowmeter for measurement of cardiac output and regional blood flow in the rat. J Cardiovasc Pharmacol. 1996;27:482–6.\nProfant M, Vyska K, Eckhardt U. The Stewart-Hamilton equations and the indicator dilution method. SIAM J Appl Math. 1978;34:666–75.\nKissling G, Ross C, Brandle M. Validity of thermal dilution technique for measurement of cardiac output in rats. Am J Phys. 1993;265:H1007–13.\nCroteau E, Benard F, Bentourkia M, Rousseau J, Paquette M, Lecomte R. Quantitative myocardial perfusion and coronary reserve in rats with 13 N-ammonia and small animal PET: impact of anesthesia and pharmacologic stress agents. J Nucl Med. 2004;45:1924–30.\nCroteau E, Benard F, Cadorette J, Gauthier ME, Aliaga A, Bentourkia M, et al. Quantitative gated PET for the assessment of left ventricular function in small animals. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2003;44:1655–61.\nFahey FH, Gage HD, Buchheimer N, Smith HC, Harkness BA, Williams RC, et al. Evaluation of the quantitative capability of a high-resolution positron emission tomography scanner for small animal imaging. J Comput Assist Tomogr. 2004;28:842–8.\nInubushi M, Wu JC, Gambhir SS, Sundaresan G, Satyamurthy N, Namavari M, et al. Positron-emission tomography reporter gene expression imaging in rat myocardium. Circulation. 2003;107:326–32.\nSen L, Gambhir SS, Furukawa H, Stout DB, Linh Lam A, Laks H, et al. Noninvasive imaging of ex vivo intracoronarily delivered nonviral therapeutic transgene expression in heart. Mol Ther. 2005;12:49–57. doi:10.1016\u002Fj.ymthe.2005.03.004.\nWu JC, Inubushi M, Sundaresan G, Schelbert HR, Gambhir SS. Positron emission tomography imaging of cardiac reporter gene expression in living rats. Circulation. 2002;106:180–3.\nKreissl MC, Wu HM, Stout DB, Ladno W, Schindler TH, Zhang X, et al. Noninvasive measurement of cardiovascular function in mice with high-temporal-resolution small-animal PET. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2006;47:974–80.\nTai YC, Ruangma A, Rowland D, Siegel S, Newport DF, Chow PL, et al. Performance evaluation of the microPET focus: a third-generation microPET scanner dedicated to animal imaging. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2005;46:455–63.\nSchug D, Lerche C, Weissler B, Gebhardt P, Goldschmidt B, Wehner J, et al. Initial PET performance evaluation of a preclinical insert for PET\u002FMRI with digital SiPM technology. Phys Med Biol. 2016;61:2851–78. doi:10.1088\u002F0031-9155\u002F61\u002F7\u002F2851.\nSato K, Shidahara M, Watabe H, Watanuki S, Ishikawa Y, Arakawa Y, et al. Performance evaluation of the small-animal PET scanner ClairvivoPET using NEMA NU 4-2008 standards. Phys Med Biol. 2016;61:696–711. doi:10.1088\u002F0031-9155\u002F61\u002F2\u002F696.\nRouze NC, Schmand M, Siegel S, Hutchins GD. Design of a small animal PET imaging system with 1 microliter volume resolution. IEEE Trans Nucl Sci. 2004;51:757–63.\nResources ILA. Guide for the care and use of laboratory animals. 8th ed. Washington, D.C.: National Academy Press; 2011.\nHeinemann A, Wachter CH, Holzer P. Differential regulation of mesenteric and femoral blood flow in the rat as revealed by computerized data acquisition and evaluation. J Auton Pharmacol. 1998;18:39–48.\nHutchins GD, Miller MA, Soon VC, Receveur T. Small animal PET imaging. ILAR J. 2008;49:54–65.\nHiley CR, Thomas GR. Effects of alpha-adrenoceptor agonists on cardiac output and its regional distribution in the pithed rat. Br J Pharmacol. 1987;90:61–70.\nSoon VC, Miller LM, Hutchins GD. A non-iterative method for emission tomographic image reconstruction with resolution recovery. IEEE Nuclear Science Symposium Conference Record. 2007;5(8):3468–73.\nStudholme C, Hawkes DJ, Hill DLG. A normalized entropy measure for multimodality image alignment. Proc SPIE Med Imaging. 1998;3338:132–43.",{"VOID":1250},"10.1186\u002Fs40658-016-0161-4","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-016-0161-4",[1253,1268,1281,1294],{"id":1254,"sortIndex":106,"researcher":23,"roles":1255,"affiliations":1256,"properties":1265,"displayName":1267,"givenName":23,"familyName":23},"fe7aa328-e254-496e-a274-dca43519a5c2",[990],[1257],{"id":1258,"sortIndex":106,"affiliation":1259,"properties":23},"4fcc2cc2-66bd-4679-8b72-a07f0959afcd",{"id":1258,"createTime":23,"updateTime":23,"relativeEntities":1260,"slug":23,"properties":1261,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1264,"statistic":23},[],{"title":1262},{"VI":1263},"Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA",[],{"title":1266},{"VI":1267},"Paul R. Territo",{"id":1269,"sortIndex":156,"researcher":23,"roles":1270,"affiliations":1271,"properties":1278,"displayName":1280,"givenName":23,"familyName":23},"56f00fbc-e8c9-44e6-985d-cd79d3484f7b",[990],[1272],{"id":1258,"sortIndex":106,"affiliation":1273,"properties":23},{"id":1258,"createTime":23,"updateTime":23,"relativeEntities":1274,"slug":23,"properties":1275,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1277,"statistic":23},[],{"title":1276},{"VI":1263},[],{"title":1279},{"VI":1280},"Amanda A. Riley",{"id":1282,"sortIndex":237,"researcher":23,"roles":1283,"affiliations":1284,"properties":1291,"displayName":1293,"givenName":23,"familyName":23},"8aadcbb1-e35d-400f-8a42-48bb12461f40",[990],[1285],{"id":1258,"sortIndex":106,"affiliation":1286,"properties":23},{"id":1258,"createTime":23,"updateTime":23,"relativeEntities":1287,"slug":23,"properties":1288,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1290,"statistic":23},[],{"title":1289},{"VI":1263},[],{"title":1292},{"VI":1293},"Brian P. McCarthy",{"id":1295,"sortIndex":24,"researcher":23,"roles":1296,"affiliations":1297,"properties":1304,"displayName":1306,"givenName":23,"familyName":23},"37205061-a835-4abc-9cdd-a551a68dbc06",[990],[1298],{"id":1258,"sortIndex":106,"affiliation":1299,"properties":23},{"id":1258,"createTime":23,"updateTime":23,"relativeEntities":1300,"slug":23,"properties":1301,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1303,"statistic":23},[],{"title":1302},{"VI":1263},[],{"title":1305},{"VI":1306},"Gary D. Hutchins",{"url":1251,"publisher":1308,"properties":1363},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1309,"slug":10,"properties":1310,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":1315,"manageAffiliations":1332,"indexDatabases":1343,"url":104,"thumbnailPath":23,"statistic":1358,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":1311,"eissn":1312,"issn":1313,"title":1314},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[1316,1320,1324,1328],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":1317,"label":1318,"description":1319,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":1321,"label":1322,"description":1323,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":1325,"label":1326,"description":1327,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":1329,"label":1330,"description":1331,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":48},{},[1333,1338],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":1334,"slug":23,"properties":1335,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1337,"statistic":23},[],{"title":1336},{"EN":56},[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":1339,"slug":23,"properties":1340,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1342,"statistic":23},[],{"title":1341},{"EN":63},[65],[1344,1351],{"id":68,"indexDatabase":1345,"url":79,"indexYears":80,"academicFieldIds":1350,"indexDatabaseRanking":86},{"id":70,"createTime":23,"updateTime":23,"relativeEntities":1346,"label":1347,"description":1348,"key":76,"publicationTags":1349,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83,84,85],{"id":88,"indexDatabase":1352,"url":101,"indexYears":23,"academicFieldIds":1357,"indexDatabaseRanking":23},{"id":90,"createTime":23,"updateTime":23,"relativeEntities":1353,"label":1354,"description":1355,"key":97,"publicationTags":1356,"standard":23},[],{"EN":93,"VI":93},{"EN":95,"VI":96},[99,100],[103],{"impactFactor":106,"impactFactorByYear":1359,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":1360,"totalCitation":106,"totalCitationByYear":1361,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":1362,"hindexLast5Year":106,"hindex":106},{},{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},{},{},{"pages":1364,"volume":1366},{"VOID":1365},"1-8",{"VOID":1367},"3","2016-10-20",2016,[99,86],{"id":1372,"createTime":1373,"updateTime":1374,"relativeEntities":1375,"slug":1376,"properties":1377,"entityType":983,"verifyStatus":144,"verifyTime":1374,"verifyNote":984,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":1386,"fullTextUrl":23,"authors":1387,"publicationType":1074,"publisherRelationship":1470,"citationCount":23,"citationInfo":23,"publishDate":1530,"publishYear":1137,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1531,"openAccess":23,"references":23,"isForceReanalyzing":1139},"01417d6b-d95c-4240-b141-b90a090c55e0","2023-12-06T23:59:49.611+00:00","2025-02-20T07:49:22.098+00:00",[],"Improved-PET-MRI-attenuation-correction-in-the-pelvic-region-using-a-statistical-decomposition-method-on-T2-weighted-images",{"abstract":1378,"title":1380,"references":1382,"doi":1384},{"EN":1379},"Attenuation correction of PET\u002FMRI is a remaining problem for whole-body PET\u002FMRI. The statistical decomposition algorithm (SDA) is a probabilistic atlas-based method that calculates synthetic CTs from T2-weighted MRI scans. In this study, we evaluated the application of SDA for attenuation correction of PET images in the pelvic region. Twelve patients were retrospectively selected from an ongoing prostate cancer research study. The patients had same-day scans of [11C]acetate PET\u002FMRI and CT. The CT images were non-rigidly registered to the PET\u002FMRI geometry, and PET images were reconstructed with attenuation correction employing CT, SDA-generated CT, and the built-in Dixon sequence-based method of the scanner. The PET images reconstructed using CT-based attenuation correction were used as ground truth. The mean whole-image PET uptake error was reduced from − 5.4% for Dixon-PET to − 0.9% for SDA-PET. The prostate standardized uptake value (SUV) quantification error was significantly reduced from − 5.6% for Dixon-PET to − 2.3% for SDA-PET. Attenuation correction with SDA improves quantification of PET\u002FMR images in the pelvic region compared to the Dixon-based method.",{"EN":1381},"Improved PET\u002FMRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted images",{"VOID":1383},"Kinahan PE, Townsend DW, Beyer T, Sashin D. Attenuation correction for a combined 3D PET\u002FCT scanner. Med Phys [Internet]. 1998;25(10):2046–63 Available from: https:\u002F\u002Faapm.onlinelibrary.wiley.com\u002Fdoi\u002Fabs\u002F10.1118\u002F1.598392.\nMartinez-Moller A, Souvatzoglou M, Delso G, Bundschuh RA, Chefd’Hotel C, Ziegler SI, et al. Tissue classification as a potential approach for attenuation correction in whole-body PET\u002FMRI: Evaluation with PET\u002FCT data. J Nucl Med. 2009;50(4):520–6.\nPaulus DH, Quick HH, Geppert C, Fenchel M, Zhan Y, Hermosillo G, et al. Whole-body PET\u002FMR imaging: Quantitative evaluation of a novel model-based MR attenuation correction method including bone. J Nucl Med. 2015;56(7):1061–6.\nKeereman V, Fierens Y, Broux T, De Deene Y, Lonneux M, Vandenberghe S. MRI-based attenuation correction for PET\u002FMRI using ultrashort echo time sequences. J Nucl Med. 2010;51(5):812–8.\nSekine T, Ter Voert EEGW, Warnock G, Buck A, Huellner M, Veit-Haibach P, et al. Clinical evaluation of zero-echo-time attenuation correction for brain 18F-FDG PET\u002FMRI: Comparison with atlas attenuation correction. J Nucl Med. 2016;57(12):1927–32.\nYang J, Jian Y, Jenkins N, Behr SC, Hope TA, Larson PEZ, et al. Quantitative evaluation of atlas-based attenuation correction for brain PET in an integrated time-of-flight PET\u002FMR imaging system. Radiology. 2017;284(1):169–79.\nBlanc-Durand P, Khalife M, Sgard B, Kaushik S, Soret M, Tiss A, et al. Attenuation correction using 3D deep convolutional neural network for brain 18FFDG PET\u002FMR: comparison with Atlas, ZTE and CT based attenuation correction. PLoS One. 2019;14(10):1–12.\nIzquierdo-Garcia D, Catana C. MR imaging-guided attenuation correction of PET data in PET\u002FMR imaging. PET Clin [Internet]. 2016;11(2):129–49. Available from:. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cpet.2015.10.002.\nQian P, Chen Y, Kuo J-W, Zhang Y-D, Jiang Y, Zhao K, et al. mDixon-based synthetic CT generation for PET attenuation correction on abdomen and pelvis jointly using transfer fuzzy clustering and active learning-based classification. IEEE Trans Med Imaging. 2019;PP(c):1–1.\nLeynes AP, Yang J, Wiesinger F, Kaushik SS, Shanbhag DD, Seo Y, et al. Zero-echo-time and Dixon deep pseudo-CT (ZeDD CT): direct generation of pseudo-CT images for pelvic PET\u002FMRI attenuation correction using deep convolutional neural networks with multiparametric MRI. J Nucl Med. 2018;59(5):852–8.\nTorrado-Carvajal A, Vera-Olmos J, Izquierdo-Garcia D, Catalano OA, Morales MA, Margolin J, et al. Dixon-vibe deep learning (divide) pseudo-CT synthesis for pelvis PET\u002FMR attenuation correction. J Nucl Med. 2019;60(3):429–35.\nHwang D, Kang SK, Kim KY, Seo S, Paeng JC, Lee DS, et al. Generation of PET attenuation map for whole-body time-of-flight 18F-FDG PET\u002FMRI using a deep neural network trained with simultaneously reconstructed activity and attenuation maps. J Nucl Med. 2019;60(8):1183–9.\nBradshaw TJ, Zhao G, Jang H, Liu F, Mcmillan AB. Feasibility of deep learning–based PET\u002FMR attenuation correction in the pelvis using only diagnostic MR images. Tomography. 2018;4(3):138–47.\nJonsson J, Nyholm T, Söderkvist K. The rationale for MR-only treatment planning for external radiotherapy. Clin Transl Radiat Oncol [Internet]. 2019;18:60–5. Available from. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ctro.2019.03.005.\nSiversson C, Nordström F, Nilsson T, Nyholm T, Jonsson J, Olsson LE, et al. Technical note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm. Med Phys [Internet]. 2015;10(42):6090–7. Available from:. https:\u002F\u002Fdoi.org\u002F10.1118\u002F1.4931417.\nSabuncu MR, Yeo BTT, Van Leemput K, Fischl B, Golland P. A generative model for image segmentation based on label fusion. IEEE Trans Med Imaging. 2010;29(10):1714–29.\nKlein S, Staring M, Murphy K, Viergever MA, Pluim JPW. Elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imaging. 2010;29(1):196–205.\nNuyts J, Bal G, Kehren F, Fenchel M, Michel C, Watson C. Completion of a truncated attenuation image from the attenuated PET emission data. IEEE Trans Med Imaging. 2013;32(2):237–46.\nEmond EC, Bousse A, Machado M, Porter J, Groves AM, Hutton BF, et al. Effect of attenuation mismatches in time of flight PET reconstruction. Phys Med Biol. 2020;65(8).",{"VOID":1385},"10.1186\u002Fs40658-020-00336-5","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-020-00336-5",[1388,1403,1416,1429,1444,1457],{"id":1389,"sortIndex":106,"researcher":23,"roles":1390,"affiliations":1391,"properties":1400,"displayName":1402,"givenName":23,"familyName":23},"f9c4e807-879b-426e-b392-eb3b7b32acb3",[990],[1392],{"id":1393,"sortIndex":106,"affiliation":1394,"properties":23},"2f37c9d0-afa3-441a-81d2-0ea1f50cae5a",{"id":1393,"createTime":23,"updateTime":23,"relativeEntities":1395,"slug":23,"properties":1396,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1399,"statistic":23},[],{"title":1397},{"VI":1398},"Department of Radiation Sciences, Radiation Physics, Umeå University, Umeå, Sweden",[],{"title":1401},{"VI":1402},"Elin Wallstén",{"id":1404,"sortIndex":156,"researcher":23,"roles":1405,"affiliations":1406,"properties":1413,"displayName":1415,"givenName":23,"familyName":23},"68b5ce1e-05cf-4ba4-a715-df1eee0b2026",[990],[1407],{"id":1393,"sortIndex":106,"affiliation":1408,"properties":23},{"id":1393,"createTime":23,"updateTime":23,"relativeEntities":1409,"slug":23,"properties":1410,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1412,"statistic":23},[],{"title":1411},{"VI":1398},[],{"title":1414},{"VI":1415},"Jan Axelsson",{"id":1417,"sortIndex":237,"researcher":23,"roles":1418,"affiliations":1419,"properties":1426,"displayName":1428,"givenName":23,"familyName":23},"b4622bd9-52fa-4a9a-95ed-ef3fba0f4aac",[990],[1420],{"id":1393,"sortIndex":106,"affiliation":1421,"properties":23},{"id":1393,"createTime":23,"updateTime":23,"relativeEntities":1422,"slug":23,"properties":1423,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1425,"statistic":23},[],{"title":1424},{"VI":1398},[],{"title":1427},{"VI":1428},"Joakim Jonsson",{"id":1430,"sortIndex":24,"researcher":23,"roles":1431,"affiliations":1432,"properties":1441,"displayName":1443,"givenName":23,"familyName":23},"a3505343-57bc-443d-a360-f664792b3233",[990],[1433],{"id":1434,"sortIndex":106,"affiliation":1435,"properties":23},"9fc93573-dac8-42da-8262-7699d94fd2d2",{"id":1434,"createTime":23,"updateTime":23,"relativeEntities":1436,"slug":23,"properties":1437,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1440,"statistic":23},[],{"title":1438},{"VI":1439},"Department of Radiation Sciences\u002FOncology, Umeå University, Umeå, Sweden",[],{"title":1442},{"VI":1443},"Camilla Thellenberg 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calibration, which translates reconstructed count map into absolute activity map, is a prerequisite procedure for quantitative SPECT imaging. Both planar and tomographic scans using different phantom geometries have been proposed for the determination of the camera calibration factor (CF). However, there is no consensus on which approach is the best. The aim of this study is to evaluate all these calibration methods, compare their performance, and propose a practical and accurate calibration method for SPECT quantitation of therapeutic radioisotopes. Twenty-one phantom experiments (Siemens Symbia SPECT\u002FCT) and 12 Monte Carlo simulations (GATE v6.1) using three therapy isotopes (131I, 177Lu, and 188Re) have been performed. The following phantom geometries were used: (1) planar scans of point source in air (PS), (2) tomographic scans of insert(s) filled with activity placed in non-radioactive water (HS + CB), (3) tomographic scans of hot insert(s) in radioactive water (HS + WB), and (4) tomographic scans of cylinders uniformly filled with activity (HC). Tomographic data were reconstructed using OSEM with CT-based attenuation correction and triple energy window (TEW) scatter correction, and CF was determined using total counts in the reconstructed image, while for planar scans, the photopeak counts, corrected for scatter and background with TEW, were used. Additionally, for simulated data, CF obtained from primary photons only was analyzed. For phantom experiments, CF obtained from PS and HS + WB agreed to within 6% (below 3% if experiments performed on the same day are considered). However, CF from HS + CB exceeded those from PS by 4–12%. Similar trend was found in simulation studies. Analysis of CFs from primary photons helped us to understand this discrepancy. It was due to underestimation of scatter by the TEW method, further enhanced by attenuation correction. This effect becomes less important when the source is distributed over the entire phantom volume (HS + WB and HC). Camera CF could be determined using planar scans of a point source, provided that the scatter and background contributions are removed, for example using the clinically available TEW method. This approach is simple and yet provides CF with sufficient accuracy (~ 5%) to be used in clinics for radiotracer quantification.",{"EN":1542},"Determination of gamma camera calibration factors for quantitation of therapeutic radioisotopes",{"VOID":1544},"Frey EC, Humm JL, Ljungberg M. Accuracy and precision of radioactivity quantification in nuclear medicine images. Semin Nucl Med. 2012;42(3):208–18.\nBailey DL, Willowson KP. An evidence-based review of quantitative SPECT imaging and potential clinical applications. J Nucl Med. 2013;54(1):83–9.\nDa Silva a J, Tang HR, Wong KH, Wu MC, Dae MW, Hasegawa BH. Absolute quantification of regional myocardial uptake of 99mTc-sestamibi with SPECT: experimental validation in a porcine model. J Nucl Med. 2001;42(5):772–9.\nOhno Y, Koyama H, Nogami M, Takenaka D, Matsumoto S, Yoshimura M, et al. Postoperative lung function in lung cancer patients: comparative analysis of predictive capability of MRI, CT, and SPECT. AJR Am J Roentgenol. 2007;189(2):400–8.\nDewaraja YK, Frey EC, Sgouros G, Brill B, Roberson P, Zanzonico PB, et al. MIRD pamphlet no. 23: quantitative SPECT for patient-specific 3-dimensional dosimetry in internal radionuclide therapy. J Nucl Med. 2012;53(8):1310–25.\nStrigari L, Konijnenberg M, Chiesa C, Bardies M, Du Y, Gleisner KS, et al. The evidence base for the use of internal dosimetry in the clinical practice of molecular radiotherapy. Eur J Nucl Med Mol Imaging. 2014;41(10):1976–88.\nWilliams LE, DeNardo GL, Meredith RF. Targeted radionuclide therapy. Med Phys. 2008;35(7Part1):3062–8.\nBailey DL, Willowson KP. Quantitative SPECT\u002FCT: SPECT joins PET as a quantitative imaging modality. Eur J Nucl Med Mol Imaging. 2014;41(SUPPL. 1):17–25.\nRitt P, Vija H, Hornegger J, Kuwert T. Absolute quantification in SPECT. Eur J Nucl Med Mol Imaging. 2011;38(SUPPL. 1):69–77.\nSeret A, Nguyen D, Bernard C. Quantitative capabilities of four state-of-the-art SPECT-CT cameras. EJNMMI Res. 2012;2(1):45.\nErlandsson K, Buvat I, Pretorius PH, Thomas BA, Hutton BF. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys Med Biol. 2012;57(21):R119–59.\nSanders JC, Kuwert T, Hornegger J, Ritt P. Quantitative SPECT\u002FCT imaging of 177Lu with in vivo validation in patients undergoing peptide receptor radionuclide therapy. Mol Imaging Biol. 2015;17(4):585–93.\nHippeläinen E, Tenhunen M, Mäenpää H, Sohlberg A. Quantitative accuracy of (177)Lu SPECT reconstruction using different compensation methods: phantom and patient studies. EJNMMI Res. 2016;6(1):16.\nWillowson K, Bailey DL, Baldock C. Quantitative SPECT reconstruction using CT-derived corrections. Phys Med Biol. 2008;53(12):3099–112.\nHe B, Du Y, Song X, Segars WP, Frey EC. A Monte Carlo and physical phantom evaluation of quantitative In-111 SPECT. Phys Med Biol. 2005;50(17):4169–85.\nde Wit TC, Xiao J, JFW N, van het Schip FD, Staelens SG, van Rijk PP, et al. Hybrid scatter correction applied to quantitative holmium-166 SPECT. Phys Med Biol. 2006;51(19):4773–87.\nShcherbinin S, Grimes J, Bator A, Cwikla JB, Celler A. Three-dimensional personalized dosimetry for (188)Re liver selective internal radiation therapy based on quantitative post-treatment SPECT studies. Phys Med Biol. 2013;59(1):119–34.\nAnizan N, Wang H, Zhou XC, Hobbs RF, Wahl RL, Frey EC. Factors affecting the stability and repeatability of gamma camera calibration for quantitative imaging applications based on a retrospective review of clinical data. EJNMMI Res. 2014;4(1):1–11.\nPacilio M, Cassano B, Pellegrini R, Di Castro E, Zorz A, De Vincentis G, et al. Gamma camera calibrations for the Italian multicentre study for lesion dosimetry in 223Ra therapy of bone metastases. Phys Medica. 2017;41:117–23.\nZeintl J, Vija AH, Yahil A, Hornegger J, Kuwert T. Quantitative accuracy of clinical 99mTc SPECT\u002FCT using ordered-subset expectation maximization with 3-dimensional resolution recovery, attenuation, and scatter correction. J Nucl Med. 2010;51(6):921–8.\nKoral KF, Yendiki A, Lin Q, Dewaraja YK. Comparison of 3D OSEM vs 1D SAGE for focal total-activity quantification in I-131 SPECT with HE and UHE collimation. IEEE Trans Nuc Sci. 2005;52(1):154–8.\nMcDougald WA, Miyaoka RS, Alessio AM, Harrison RL, Lewellen TK. A study of SPECT\u002FCT camera stability for quantitative imaging. EJNMMI Phys. 2016;3(1):14.\nBeauregard JM, Hofman MS, Pereira JM, Eu P, Hicks RJ. Quantitative 177Lu SPECT (QSPECT) imaging using a commercially available SPECT\u002FCT system. Cancer Imaging. 2011;11(1):56–66.\nSandström M, Garske U, Granberg D, Sundin A, Lundqvist H. Individualized dosimetry in patients undergoing therapy with 177Lu-DOTA-D-Phe1-Tyr3-octreotate. Eur J Nucl Med Mol Imaging. 2010;37(2):212–25.\nSandström M, Ilan E, Karlberg A, Johansson S, Freedman N, Garske-Román U. Method dependence, observer variability and kidney volumes in radiation dosimetry of (177)Lu-DOTATATE therapy in patients with neuroendocrine tumours. EJNMMI Phys. 2015;2(1):24.\nD’Arienzo M, Cozzella ML, Fazio A, De Felice P, Iaccarino G, D’Andrea M, et al. Quantitative 177Lu SPECT imaging using advanced correction algorithms in non-reference geometry. Phys Medica. 2016;32(12):1745–52.\nJan S, Benoit D, Becheva E, Carlier T, Cassol F, Descourt P, et al. GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy. Phys Med Biol. 2011;56:881–901.\nUribe CF, Esquinas PL, Gonzalez M, Celler A. Characteristics of bremsstrahlung emissions of 177Lu, 188Re, and 90Y for SPECT\u002FCT quantification in radionuclide therapy. Phys Medica. 2016;32(5):691–700.\nUribe CF, Esquinas PL, Tanguay J, Gonzalez M, Gaudin E, Beauregard J-M, et al. Accuracy of 177Lu activity quantification in SPECT imaging: a phantom study. EJNMMI Phys. 2017;4(1):2.\nDewaraja YK, Wilderman SJ, Ljungberg M, Koral KF, Zasadny K, Kaminiski MS. Accurate dosimetry in 131I radionuclide therapy using patient-specific, 3-dimensional methods for SPECT reconstruction and absorbed dose calculation. J Nucl Med. 2005;46(5):840–9.\nOgawa K, Harata Y, Ichihara T, Kubo A, Hashimoto S. A practical method for position-dependent Compton-scatter correction in single photon emission CT. IEEE Trans Med Imaging. 1991;10(3):408–12.\nde Nijs R, Lagerburg V, Klausen TL, Holm S. Improving quantitative dosimetry in 177Lu-DOTATATE SPECT by energy window-based scatter corrections. Nucl Med Commun. 2014;35(5):522–33.\nWevrett J, Fenwick A, Scuffham J, Nisbet A. Development of a calibration protocol for quantitative imaging for molecular radiotherapy dosimetry. Radiat Phys Chem. 2017;140(November 2016):355–60.\nKhazov Y, Mitropolsky I, Rodionov A. Nuclear data sheets for A = 131. Nucl Data Sheets. 2006;107(11):2715–930.\nKondev FG. Nuclear data sheets for A = 177. Nucl Data Sheets. 2003;98(3):801–1095.\nSingh B. Nuclear data sheets for A = 188 *. Nucl Data Sheets. 2002;387(2):387–541.\nDewaraja YK, Ljungberg M, Green AJ, Zanzonico PB, Frey EC, Bolch WE, et al. MIRD pamphlet no. 24: guidelines for quantitative 131I SPECT in dosimetry applications. J Nucl Med. 2013;54(12):2182–8.\nLjungberg M, Celler A, Konijnenberg MW, Eckerman KF, Dewaraja YK, Sjogreen GK. MIRD pamphlet no. 26: joint EANM\u002FMIRD guidelines for quantitative 177Lu SPECT applied for dosimetry of radiopharmaceutical therapy. J Nucl Med. 2015;9881(26):151–62.\nEsquinas PL, Rodríguez-Rodríguez C, Carlos De La Vega J, Bokharaei M, Saatchi K, Shirmohammad M, et al. 188Re image performance assessment using small animal multi-pinhole SPECT\u002FPET\u002FCT system. Phys Medica. 2016;33:26–37.",{"VOID":1546},"10.1186\u002Fs40658-018-0208-9","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-018-0208-9",[1549,1573,1593,1606,1621,1636,1660,1675],{"id":1550,"sortIndex":106,"researcher":23,"roles":1551,"affiliations":1552,"properties":1570,"displayName":1572,"givenName":23,"familyName":23},"6ae186d3-25b8-40cd-ae9f-6a9c1680fc26",[990],[1553,1561],{"id":1554,"sortIndex":106,"affiliation":1555,"properties":23},"cc16ed7e-d2f7-4a54-b35f-434b48cf3509",{"id":1554,"createTime":23,"updateTime":23,"relativeEntities":1556,"slug":23,"properties":1557,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1560,"statistic":23},[],{"title":1558},{"VI":1559},"Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada",[],{"id":1562,"sortIndex":156,"affiliation":1563,"properties":1569},"25fb1c13-5eff-464b-8599-b4c1de637748",{"id":1562,"createTime":23,"updateTime":23,"relativeEntities":1564,"slug":23,"properties":1565,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1568,"statistic":23},[],{"title":1566},{"VI":1567},"Medical Imaging Research Group, Department of Radiology, University of British Columbia, Vancouver, Canada",[],{},{"title":1571},{"VI":1572},"Wei Zhao",{"id":1574,"sortIndex":156,"researcher":23,"roles":1575,"affiliations":1576,"properties":1590,"displayName":1592,"givenName":23,"familyName":23},"83495fc7-e148-44bd-b3d6-bec3babdbc3f",[990],[1577,1583],{"id":1554,"sortIndex":106,"affiliation":1578,"properties":23},{"id":1554,"createTime":23,"updateTime":23,"relativeEntities":1579,"slug":23,"properties":1580,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1582,"statistic":23},[],{"title":1581},{"VI":1559},[],{"id":1562,"sortIndex":156,"affiliation":1584,"properties":1589},{"id":1562,"createTime":23,"updateTime":23,"relativeEntities":1585,"slug":23,"properties":1586,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1588,"statistic":23},[],{"title":1587},{"VI":1567},[],{},{"title":1591},{"VI":1592},"Pedro L. 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Uribe",{"id":1622,"sortIndex":119,"researcher":23,"roles":1623,"affiliations":1624,"properties":1633,"displayName":1635,"givenName":23,"familyName":23},"e82d56eb-934d-4f3f-b1a1-aebb30ca32ad",[990],[1625],{"id":1626,"sortIndex":106,"affiliation":1627,"properties":23},"03576cd1-aa7f-4612-8d12-60b35f91058b",{"id":1626,"createTime":23,"updateTime":23,"relativeEntities":1628,"slug":23,"properties":1629,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1632,"statistic":23},[],{"title":1630},{"VI":1631},"Vancouver Coastal Health Authority, Vancouver, Canada",[],{"title":1634},{"VI":1635},"Marjorie Gonzalez",{"id":1637,"sortIndex":160,"researcher":23,"roles":1638,"affiliations":1639,"properties":1657,"displayName":1659,"givenName":23,"familyName":23},"892bcd65-dcfd-42c1-92f9-b3b4ccddbef8",[990],[1640,1648],{"id":1641,"sortIndex":106,"affiliation":1642,"properties":23},"33d53985-2954-4e53-82c9-69f20400c9d7",{"id":1641,"createTime":23,"updateTime":23,"relativeEntities":1643,"slug":23,"properties":1644,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1647,"statistic":23},[],{"title":1645},{"VI":1646},"Department of Medical Imaging, CHU de Quebec-Université Laval, Quebec City, Canada",[],{"id":1649,"sortIndex":156,"affiliation":1650,"properties":1656},"3ff60176-0548-4369-a8a6-174f4fb4aeea",{"id":1649,"createTime":23,"updateTime":23,"relativeEntities":1651,"slug":23,"properties":1652,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1655,"statistic":23},[],{"title":1653},{"VI":1654},"Department of Radiology and Nuclear Medicine, Université Laval, Quebec City, Canada",[],{},{"title":1658},{"VI":1659},"Jean-Mathieu Beauregard",{"id":1661,"sortIndex":162,"researcher":23,"roles":1662,"affiliations":1663,"properties":1672,"displayName":1674,"givenName":23,"familyName":23},"04538087-39d2-4eeb-8814-c232ecba9f94",[990],[1664],{"id":1665,"sortIndex":106,"affiliation":1666,"properties":23},"01daae39-722d-4947-a382-021c271798f2",{"id":1665,"createTime":23,"updateTime":23,"relativeEntities":1667,"slug":23,"properties":1668,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1671,"statistic":23},[],{"title":1669},{"EN":1670},"Department of Radiology, University of Michigan Medical School, Ann Arbor, USA",[],{"title":1673},{"VI":1674},"Yuni K. Dewaraja",{"id":1676,"sortIndex":163,"researcher":23,"roles":1677,"affiliations":1678,"properties":1685,"displayName":1687,"givenName":23,"familyName":23},"279355f0-a724-470b-bae8-e75c5000c5a2",[990],[1679],{"id":1562,"sortIndex":106,"affiliation":1680,"properties":23},{"id":1562,"createTime":23,"updateTime":23,"relativeEntities":1681,"slug":23,"properties":1682,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1684,"statistic":23},[],{"title":1683},{"VI":1567},[],{"title":1686},{"VI":1687},"Anna Celler",{"url":1547,"publisher":1689,"properties":1744},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1690,"slug":10,"properties":1691,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":1696,"manageAffiliations":1713,"indexDatabases":1724,"url":104,"thumbnailPath":23,"statistic":1739,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":1692,"eissn":1693,"issn":1694,"title":1695},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[1697,1701,1705,1709],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":1698,"label":1699,"description":1700,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":1702,"label":1703,"description":1704,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":1706,"label":1707,"description":1708,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":1710,"label":1711,"description":1712,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":48},{},[1714,1719],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":1715,"slug":23,"properties":1716,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1718,"statistic":23},[],{"title":1717},{"EN":56},[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":1720,"slug":23,"properties":1721,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1723,"statistic":23},[],{"title":1722},{"EN":63},[65],[1725,1732],{"id":68,"indexDatabase":1726,"url":79,"indexYears":80,"academicFieldIds":1731,"indexDatabaseRanking":86},{"id":70,"createTime":23,"updateTime":23,"relativeEntities":1727,"label":1728,"description":1729,"key":76,"publicationTags":1730,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83,84,85],{"id":88,"indexDatabase":1733,"url":101,"indexYears":23,"academicFieldIds":1738,"indexDatabaseRanking":23},{"id":90,"createTime":23,"updateTime":23,"relativeEntities":1734,"label":1735,"description":1736,"key":97,"publicationTags":1737,"standard":23},[],{"EN":93,"VI":93},{"EN":95,"VI":96},[99,100],[103],{"impactFactor":106,"impactFactorByYear":1740,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":1741,"totalCitation":106,"totalCitationByYear":1742,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":1743,"hindexLast5Year":106,"hindex":106},{},{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},{},{},{"pages":1745,"volume":1747},{"VOID":1746},"1-16",{"VOID":1748},"5","2018-05-02",2018,[99,86],{"id":1753,"createTime":1754,"updateTime":1754,"relativeEntities":1755,"slug":23,"properties":1756,"entityType":983,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":1765,"fullTextUrl":23,"authors":1766,"publicationType":1074,"publisherRelationship":1823,"citationCount":23,"citationInfo":23,"publishDate":1884,"publishYear":1885,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1886,"openAccess":23,"references":23,"isForceReanalyzing":1139},"022e4bfc-1712-4eec-b774-33d600d95f2b","2023-12-13T22:41:46.452+00:00",[],{"abstract":1757,"title":1759,"references":1761,"doi":1763},{"EN":1758},"The quantitative accuracy of Nuclear Medicine images, acquired for both planar and SPECT studies, is influenced by the isotope-collimator combination as well as image corrections incorporated in the iterative reconstruction process. These factors can be investigated and optimised using Monte Carlo simulations. This study aimed to evaluate SPECT quantification accuracy for 123I with both the low-energy high resolution (LEHR) and medium-energy (ME) collimators and 131I with the high-energy (HE) collimator. Simulated SPECT projection images were reconstructed using the OS-EM iterative algorithm, which was optimised for the number of updates, with appropriate corrections for scatter, attenuation and collimator detector response (CDR), including septal scatter and penetration compensation. An appropriate calibration factor (CF) was determined from four different source geometries (activity-filled: water-filled cylindrical phantom, sphere in water-filled (cold) cylindrical phantom, sphere in air and point-like source), investigated with different volume of interest (VOI) diameters. Recovery curves were constructed from recovery coefficients to correct for partial volume effects (PVEs). The quantitative method was evaluated for spheres in voxel-based digital cylindrical and patient phantoms. The optimal number of OS-EM updates was 60 for all isotope-collimator combinations. The CFpoint with a VOI diameter equal to the physical size plus a 3.0-cm margin was selected, for all isotope-collimator geometries. The spheres’ quantification errors in the voxel-based digital cylindrical and patient phantoms were less than 3.2% and 5.4%, respectively, for all isotope-collimator combinations. The study showed that quantification errors of less than 6.0% could be attained, for all isotope-collimator combinations, if corrections for; scatter, attenuation, CDR (including septal scatter and penetration) and PVEs are performed. 123I LEHR and 123I ME quantification accuracies compared well when appropriate corrections for septal scatter and penetration were applied. This can be useful in departments that perform 123I studies and may not have access to ME collimators.",{"EN":1760},"Evaluation of Iodine-123 and Iodine-131 SPECT activity quantification: a Monte Carlo study",{"VOID":1762},"Frangos S, Buscombe JR. Why should we be concerned about a “g”? Eur J Nucl Med Mol Imaging. 2019;46:519. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-018-4204-z.\nYordanova A, Eppard E, Kürpig S, Bundschuh RA, Schönberger S, Gonzalez-Carmona M, et al. Theranostics in nuclear medicine practice. Onco Targets Ther. 2017;10:4821–8. https:\u002F\u002Fdoi.org\u002F10.2147\u002Fott.s140671.\nLjungberg M, Gleisner K. Hybrid imaging for patient-specific dosimetry in radionuclide therapy. Diagnostics. 2015;5(3):296–317. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fdiagnostics5030296.\nWieland DM, Wu J, Brown LE, Mangner TJ, Swanson DP. Radiolabeled adrenergic neuron-blocking agents : adrenomedullary imaging with [131I ] iodobenzylguanidine. J Nucl Med. 1980;21(4):349–53.\nSjögreen K, Ljungberg M, Strand S, Library PM. An activity quantification method based on registration of CT and whole-body scintillation camera images, with application to I131. J Nucl Med. 2002;43(7):972–82.\nSilberstein E. Radioiodine : the classic theranostic agent. Semin Nucl Med. 2012;42(3):164–70. https:\u002F\u002Fdoi.org\u002F10.1053\u002Fj.semnuclmed.2011.12.002.\nJimenez C, Erwin W, Chasen B. Targeted radionuclide therapy for patients with metastatic pheochromocytoma and paraganglioma: From low-specific-activity to high-specific-activity iodine-131 metaiodobenzylguanidine. Cancers (Basel). 2019. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fcancers11071018.\nTheerakulpisut D, Raruenrom Y, Wongsurawat N, Somboonporn C. Value of SPECT\u002FCT in diagnostic I-131 MIBG scintigraphy in patients with neuroblastoma. 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Eur J Nucl Med. 1999;26(6):655–8. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs002590050434.\nRault E, Vandenberghe S, Van HR, De BJ, Staelens S, Lemahieu I. Comparison of image quality of different iodine isotopes ( I-123, I-124, and I-131). Cancer Biother Radiopharm. 2007. https:\u002F\u002Fdoi.org\u002F10.1089\u002Fcbr.2006.323.\nShepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging. 1982;1:113–22. https:\u002F\u002Fdoi.org\u002F10.1109\u002FTMI.1982.4307558.\nLange K, Carson R. EM reconstruction algorithms for emission and transmission tomography. J Comput Assist Tomogr. 1984;8(2):306–16.\nDewaraja YK, Frey EC, Sgouros G, Brill AB, Roberson P, Zanzonico PB, et al. MIRD pamphlet no 23: quantitative SPECT for patient-specific 3-dimensional dosimetry in internal radionuclide therapy. J Nucl Med. 2012;53(8):17. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.111.100123.\nD’Arienzo M, Cazzato M, Cozzella ML, Cox M, D’Andrea M, Fazio A, et al. Gamma camera calibration and validation for quantitative SPECT imaging with 177Lu. Appl Radiat Isot. 2016;112:156–64. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apradiso.2016.03.007.\nZhao W, Esquinas PL, Hou X, Uribe CF, Gonzalez M, Beauregard J, et al. Determination of gamma camera calibration factors for quantitation of therapeutic radioisotopes. EJNMMI Phys. 2018;5(8):16. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40658-018-0208-9.\nLjungberg M, Sjögreen GK. Personalized dosimetry for radionuclide therapy using molecular imaging tools. Biomedicines. 2016;4(4):25. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbiomedicines4040025.\nShcherbinin S, Celler A, Belhocine T, Vanderwerf R, Driedger A. Accuracy of quantitative reconstructions in SPECT \u002F CT imaging. Phys Med Biol. 2008;53:4595–604. https:\u002F\u002Fdoi.org\u002F10.1088\u002F0031-9155\u002F53\u002F17\u002F009.\nWillowson K, Bailey D, Baldock C. Quantitative SPECT reconstruction using CT-derived corrections. Phys Med Biol. 2008;53(12):3099–112. https:\u002F\u002Fdoi.org\u002F10.1088\u002F0031-9155\u002F53\u002F12\u002F002.\nCherry SR, Sorenson J, Phelps ME, Methé BM. Physics in nuclear medicine. 4th ed. Philadelphia: Saunders; 2012. p. 1–544.\nHoffman E, Huang S, Phelps M. Quantitation in positron emission computed tomography: 1–effect of object size. J Comput Assist Tomogr. 1979;3(3):299–308. https:\u002F\u002Fdoi.org\u002F10.1097\u002F00004728-197906000-00001.\nRamonaheng K, van Staden JA, du Raan H. The effect of calibration factors and recovery coefficients on 177Lu SPECT Activity quantification accuracy: a Monte Carlo study. EJNMMI Phys. 2021;8:27. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs40658-021-00365-8.\nRitt P, Vija H, Hornegger J, Kuwert T. Absolute quantification in SPECT. Eur J Nucl Med Mol Imaging. 2011;38:69–77. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00259-011-1770-8.\nZeintl J, Vija AH, Yahil A, Hornegger J, Kuwert T. Quantitative accuracy of clinical 99mTc SPECT\u002FCT using ordered-subset expectation maximization with 3-dimensional resolution recovery, attenuation, and scatter correction. J Nucl Med. 2010;51(6):921–8. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.109.071571.\nDewaraja YK, Ljungberg M, Koral KF. Monte Carlo evaluation of object shape effects in iodine-131 SPET tumor activity quantification. Eur J Nucl Med. 2001;28(7):900–6. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs002590100551.\nTran-Gia J, Lassmann M. Optimizing image quantification for Lu-177 SPECT\u002FCT based on a 3D printed 2-compartment kidney phantom. J Nucl Med. 2018;59:616–24. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.117.200170.\nBahreyni TM, Islamian P, Momennezhad M, Ljungberg M, Naseri S. SIMIND Monte Carlo simulation of a single photon emission CT. J Med Phys. 2010;35(1):42. https:\u002F\u002Fdoi.org\u002F10.4103\u002F0971-6203.55967.\nLjungberg M, Celler A, Konijnenberg MW, Eckerman KF, Dewaraja YK, Sjögreen-Gleisner K. MIRD pamphlet no 26: joint EANM\u002FMIRD guidelines for quantitative 177Lu SPECT applied for dosimetry of radiopharmaceutical therapy. J Nucl Med. 2016;57(1):151–62. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.115.159012.\nLjungberg M, Strand S-E, King MA. The SIMIND Monte Carlo program. Monte Carlo Calc Nucl Med Appl Diagn Imaging. 1998;145–63.\nZaidi H. Relevance of accurate Monte Carlo modeling in nuclear medical imaging. Med Phys. 1999;26(February):574–608. https:\u002F\u002Fdoi.org\u002F10.1118\u002F1.598559.\nFahey FH, Grogg K, El Fakhri G. Use of Monte Carlo techniques in nuclear medicine. J Am Coll Radiol. 2018;15(3):446–8. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jacr.2017.09.045.\nAutret D, Bitar A, Ferrer L, Lisbona A, Bardiès M. Monte Carlo modeling of gamma cameras for I-131 imaging in targeted radiotherapy. Cancer Biother Radiopharm. 2005;20(1):77–84. https:\u002F\u002Fdoi.org\u002F10.1089\u002Fcbr.2005.20.77.\nLjungberg M. Absolute quantitation of SPECT studies. Semin Nucl Med. 2018;48(4):348–58. https:\u002F\u002Fdoi.org\u002F10.1053\u002Fj.semnuclmed.2018.02.009.\nLjungberg M, Strand S. A Monte Carlo program for the simulation of scintillation camera characteristics. Comput Methods Programs Biomed. 1989;29(4):257–72. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0169-2607(89)90111-9.\nKnoll GF. Radiation detection and measurement, vol. 3, Wiley. 2005. 816 p.\nMorphis M, van Staden JA, du Raan H, Ljungberg M. Modelling of energy-dependent spectral resolution for SPECT Monte Carlo simulations using SIMIND. Heliyon. 2021;7:12. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.heliyon.2021.e06097.\nEjeh J. Accuracy of iodine-131 activity quantification and dosimetry for three-dimensional patient-specific models. 2019. [thesis] University of the Free State, South Africa.\nDewaraja YK, Wilderman SJ, Ljungberg M, Koral KF, Zasadny K, Kaminiski MS. Accurate dosimetry in 131I radionuclide therapy using patient-specific, 3-dimensional methods for SPECT reconstruction and absorbed dose calculation. J Nucl Med. 2005;46(5):840–9.\nMorphis M, van Staden JA, du Raan H, Ljungberg M. Validation of a SIMIND Monte Carlo modelled gamma camera for iodine-123 and iodine-131 imaging. Heliyon. 2021.\nFluke Biomedical. Nuclear Associates 76-823, 76-824 & 76-825 PET\u002FSPECT phantom source tank, Phatom Inserts and Cardiac Insert User Guide. 2005. p. 10.\nRamonaheng K, van Staden J, du Raan H. Validation of a Monte Carlo modelled gamma camera for lutetium-177 imaging. Appl Radiat Isot. 2020. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apradiso.2020.109200.\nSjögreen K, Ljungberg M, Wingårdh K, Minarik D, Strand S-E. The LundADose method for planar image activity quantification and absorbed-dose assessment in radionuclide therapy. Cancer Biother Radiopharm. 2005;20(1):92–7. https:\u002F\u002Fdoi.org\u002F10.1089\u002Fcbr.2005.20.92.\nFrey EC, Tsui BMWA. A new method for modeling the spatially-variant, object-dependent scatter response function in SPECT. In: 1996 IEEE nuclear science symposium conference record IEEE. 1996. p. 1082–86. https:\u002F\u002Fdoi.org\u002F10.1109\u002FNSSMIC.1996.591559.\nLjungberg M, Sjogreen K, Liu X, Frey E, Dewaraja Y, Strand S-E. A 3-dimensional absorbed dose calculation method based on quantitative SPECT for radionuclide therapy : evaluation for 131 I using Monte Carlo simulation. J Nucl Med. 2002;43:1101–9.\nLoening AM, Gambhir SS. AMIDE: a completely free system for medical imaging data analysis. J Nucl Med. 2001;42(5):192.\nBrambilla M, Cannillo B, Dominietto M, Inglese E. Characterization of ordered-subsets expectation maximization with 3D post- reconstruction Gauss filtering and comparison with filtered backprojection. Ann Nucl Med. 2005;19(2):75–82. https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF03027384.\nLeong LK, Kruger RL, Connor MKO. A comparison of the uniformity requirements for SPECT Image reconstruction using FBP and OSEM techniques. J Nucl Med Technol. 2001;29:79–83.\nSjögreen K, Ljungberg M, Strand S. Parameters influencing volume and activity quantitation in spect. Acta Oncol (Madr). 1996;35(4):323–30. https:\u002F\u002Fdoi.org\u002F10.3109\u002F02841869609101649.\nNakajima K, Verschure DO, Okuda K, Verberne HJ. Standardization of 123 I- meta -iodobenzylguanidine myocardial sympathetic activity imaging : phantom calibration and clinical applications. Clin Transl Imaging. 2017;5(3):255–63. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40336-017-0230-2.\nDewaraja YK, Koral KF, Fessler JA. Regularized reconstruction in quantitative SPECT using CT side information from hybrid imaging. Phys Med Biol. 2010;55:2523–39. https:\u002F\u002Fdoi.org\u002F10.1088\u002F0031-9155\u002F55\u002F9\u002F007.\nKoral KF, Kritzmaan JN, Rogers VE, Ackermann RJ, Fessler JA. Optimizing the number of equivalent iterations of 3D OSEM in SPECT reconstruction of I-131 focal activities. Nucl Instrum Methods Phys Res. 2007;579:326–9. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.nima.2007.04.070.\nGrassi E, Mezzenga E, Finocchiaro D. Impact of a commercial 3D OSEM reconstruction algorithm on the 177 Lu activity quantification of SPECT \u002F CT imaging in a molecular radiotherapy trial. Radiol Diagn Imaging. 2017;1(1):1–7. https:\u002F\u002Fdoi.org\u002F10.15761\u002FRDI.1000101.\nTran-gia J, Lassmann M. 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enantiomers of [18F]flubatine are new radioligands for neuroimaging of α4β2 nicotinic acetylcholine receptors with positron emission tomography (PET) exhibiting promising pharmacokinetics which makes them attractive for different clinical questions. In a previous preclinical study, the main advantage of (+)-[18F]flubatine compared to (−)-[18F]flubatine was its higher binding affinity suggesting that (+)-[18F]flubatine might be able to detect also slight reductions of α4β2 nAChRs and could be more sensitive than (−)-[18F]flubatine in early stages of Alzheimer’s disease. To support the clinical translation, we investigated a fully image-based internal dosimetry approach for (+)-[18F]flubatine, comparing mouse data collected on a preclinical PET\u002FMRI system to piglet and first-in-human data acquired on a clinical PET\u002FCT system. Time-activity curves (TACs) were obtained from the three species, the animal data extrapolated to human scale, exponentially fitted and the organ doses (OD), and effective dose (ED) calculated with OLINDA. The excreting organs (urinary bladder, kidneys, and liver) receive the highest organ doses in all species. Hence, a renal\u002Fhepatobiliary excretion pathway can be assumed. In addition, the ED conversion factors of 12.1 μSv\u002FMBq (mice), 14.3 μSv\u002FMBq (piglets), and 23.0 μSv\u002FMBq (humans) were calculated which are well within the order of magnitude as known from other 18F-labeled radiotracers. Although both enantiomers of [18F]flubatine exhibit different binding kinetics in the brain due to the respective affinities, the effective dose revealed no enantiomer-specific differences among the investigated species. The preclinical dosimetry and biodistribution of (+)-[18F]flubatine was shown and the feasibility of a dose assessment based on image data acquired on a small animal PET\u002FMR and a clinical PET\u002FCT was demonstrated. Additionally, the first-in-human study confirmed the tolerability of the radiation risk of (+)-[18F]flubatine imaging which is well within the range as caused by other 18F-labeled tracers. However, as shown in previous studies, the ED in humans is underestimated by up to 50 % using preclinical imaging for internal dosimetry. This fact needs to be considered when applying for first-in-human studies based on preclinical biokinetic data scaled to human anatomy.",{"EN":2234},"Radiation dosimetry of the α4β2 nicotinic receptor ligand (+)-[18F]flubatine, comparing preclinical PET\u002FMRI and PET\u002FCT to first-in-human PET\u002FCT results",{"VOID":2236},"Deuther-Conrad W, Patt JT, Lockman PR, Allen DD, Patt M, Schildan A, Ganapathy V, Steinbach J, Sabri O, Brust P. Norchloro-fluoro-homoepibatidine (NCFHEB)—a promising radioligand for neuroimaging nicotinic acetylcholine receptors with PET. Eur Neuropsychopharm. 2008;18:222–9.\nLindstrom JON, Anand R, Peng X, Gerzanich V, Wang FAN, Li Y. Neuronal nicotinic receptor subtypes. Ann NY Acad Sci. 1995;757:100–16.\nQuik M, Wonnacott S. α6β2* and α4β2* nicotinic acetylcholine receptors as drug targets for parkinson's disease. Pharmacol Rev. 2011;63:938–66.\nBrašić, JR, James R, Cascella N, Kumar A, Zhou Y, Hilton J, Raymont V, Crabb A, Guevara MR, Horti AG, Wong DF. Positron emission tomography experience with 2‐[18F]fluoro‐3‐(2(s)‐azetidinylmethoxy) pyridine (2‐[18F]FA) in the living human brain of smokers with paranoid schizophrenia. Synapse. 2012;66(4):352–68.\nWu J, Ishikawa M, Zhang J, Hashimoto K. Brain imaging of nicotinic receptors in Alzheimer's disease. Int J Alzheimers Dis. 2010;2010:548913. doi:10.4061\u002F2010\u002F548913.\nSabri O, Steinbach J, Wilke S, Brust P, Hoepping A, Smits R, Wagenknecht G, Becker G, Graef S, Hesse S. PET imaging of cerebral nicotinic acetylcholine receptors (nAChRs) in early Alzheimer′s disease assessed with the new radioligand (−)-[18F]norchloro-fluoro-homoepibatidine ([18F]Flubatine). J Cerebr Blood F Met. 2012;32:S55.\nSabri O, et al. First-in-human PET quantification study of cerebral α4β2* nicotinic acetylcholine receptors using the novel specific radioligand (−)-[18F] Flubatine. Neuroimage. 2015;118:199–208.\nFischer S, Hiller A, Smits R, Hoepping A, Funke U, Wenzel B, Cumming P, Sabri O, Steinbach J, Brust P. Radiosynthesis of racemic and enantiomerically pure (−)-[18F]flubatine—a promising PET radiotracer for neuroimaging of α4β2 nicotinic acetylcholine receptors. Appl Radiat Isotopes. 2013;74:128–36.\nKendziorra K, Wolf H, Meyer P, Barthel H, Hesse S, Becker GA, Luthardt J, Schildan A, Patt M, Sorger D, Sabri O. Decreased cerebral α4β2* nicotinic acetylcholine receptor availability in patients with mild cognitive impairment and Alzheimer’s disease assessed with positron emission tomography. Eur J Nucl Med Mol I. 2011;38:515–25.\nGallezot JD, Bottlaender M, Greoire MC, Roumenov D, Deverre JR, Coulon C, Ottaviani M, Dolle F, Syrota A, Valette H. In vivo imaging of human cerebral nicotinic acetylcholine receptors with 2-[18F]-Fluoro-A-85380 and PET. J Nucl Med. 2005;46:240–7.\nKant R, Constantinescu CC, Parekh P, Pandey SK, Pan ML, Easwaramoorthy B, Mukherjee J. Evaluation of [18F]nifene binding to α4β2 nicotinic receptors in the rat brain using microPET imaging. Eur J Nucl Med Mol I. 2011;1:1–9.\nDeuther-Conrad W, Patt JT, Feuerbach D, Wegner F, Brust P, Steinbach J. Norchloro-fluoro-homoepibatidine: specificity to neuronal nicotinic acetylcholine receptor subtypes in vitro. Farmaco. 2004;59:785–92.\nBrust P, Patt JT, Deuther‐Conrad W, Becker G, Patt M, Schildan A, Sabri O. In vivo measurement of nicotinic acetylcholine receptors with [18F] norchloro‐fluoro‐homoepibatidine. Synapse. 2008;62:205–18.\nHockley BG, Stewart MN, Sherman P, Quesada C, Kilbourn MR, Albin RL, Scott PJ. (−)-[18F]flubatine: evaluation in rhesus monkeys and a report of the first fully automated radiosynthesis validated for clinical use. J Labelled Comp Radiopharm. 2013;56:595–9.\nSmits R, Fischer S, Hiller A, Deuther-Conrad W, Wenzel B, Patt M, Cumming P, Steinbach J, Sabri O, Brust P, Hoepping A. Synthesis and biological evaluation of both enantiomers of [18F]flubatine, promising radiotracers with fast kinetics for the imaging of α4β2-nicotinic acetylcholine receptors. Bioorgan Med Chem. 2014;22:804–12.\nSattler B, Kranz M, Starke A, Wilke S, Donat CK, Deuther-Conrad W, Patt M, Schildan A, Patt J, Smits R, Hoepping A, Schoenknecht P, Steinbach J, Brust P, Sabri O. Internal dose assessment of (−)-[18F]flubatine, comparing animal model datasets of mice and piglets with first-in-human results. J Nucl Med. 2014;55:1885–92.\nPatt M, Becker G, Grossmann U, Habermann B, Schildan A, Wilke S, Deuther-Conrad W, Graef S, Fischer S, Smits R, Hoepping A, Wagenknecht G, Steinbach J, Gertz HJ, Hesse S, Schoenknecht P, Brust P, Sabri O. Evaluation of metabolism, plasma protein binding and other biological parameters after administration of (−)-[18F] Flubatine in humans. Nucl Med Biol. 2014;41(6):489–94.\nMcParland BJ. Nuclear medicine radiation dosimetry: advanced theoretical principles. London: Springer; 2010. p. 456–60.\nMcParland BJ. Nuclear medicine radiation dosimetry: advanced theoretical principles. London: Springer; 2010. p. 421–2.\nConstantinescu CC, Sevrioukov E, Garcia A, Pan ML, Mukherjee J. Evaluation of [18F]mefway biodistribution and dosimetry based on whole-body PET imaging of mice. Mol Imaging Biol. 2013;15:222–9.\nConstantinescu CC, Garcia A, Mirbolooki MR, Pan ML, Mukherjee J. Evaluation of [18F]nifene biodistribution and dosimetry based on whole-body PET imaging of mice. Nucl Med Biol. 2013;40:289–94.\nPatt M, Schildan A, Habermann B, Fischer S, Hiller A, Deuther-Conrad W, Wilke S, Smits R, Hoepping A, Wagenknecht G, Steinbach J, Brust P, Sabri O. Fully automated radiosynthesis of both enantiomers of [18F]flubatine under GMP conditions for human application. Appl Radiat Isot. 2013;80:7–11.\nNagy K, Tóth M, Major P, Patay G, Egri G, Häggkvist J, Varrone A, Farde L, Halldin C, Gulyás B. Performance evaluation of the small-animal nanoScan PET\u002FMRI system. J Nucl Med. 2013;54:1825–32.\nHofheinz F, Pötzsch C, Oehme L, Beuthien-Baumann B, Steinbach J, Kotzerke J, van den Hoff J. Automatic volume delineation in oncological PET. Evaluation of a dedicated software tool and comparison with manual delineation in clinical data sets. Nuklearmed. 2012;51:9–16.\nStabin MG. Fundamentals of nuclear medicine dosimetry. New York: Springer; 2008. p. 83–7.\nWelsher K, Sherlock SP, Dai H. Deep-tissue anatomical imaging of mice using carbon nanotube fluorophores in the second near-infrared window. P Natl Acad Sci USA. 2011;108:8943–8.\nLin JH. Applications and limitations of interspecies scaling and in vitro extrapolation in pharmacokinetics. Drug Metab Dispos. 1998;26:1202–12.\nStabin MG. Fundamentals of nuclear medicine dosimetry. New York: Springer; 2008. p. 83–6.\nMcParland BJ. Nuclear medicine radiation dosimetry: advanced theoretical principles. London: Springer; 2010. p. 527–8.\nKirschner AS, Ice RD, Beierwaltes WH. Radiation dosimetry of 131I-19-iodocholesterol: the pitfalls of using tissue concentration data—reply. J Nucl Med. 1975;16.3:248–9.\nStabin MG. OLINDA\u002FEXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46:1023–7.\nStabin MG. Fundamentals of nuclear medicine dosimetry. New York: Springer; 2008. p. 95.\nCristy M. Specific absorbed fractions of energy at various ages from internal photon sources. VII. Adult Male. Oak Ridge National Laboratory. 1987:Document Number ORNL\u002FTM-8381\u002FV7.\nICRP. The 2007 recommendations of the International Commission of Radiological Protection: ICRP publication 103s. Ann ICRP. 2007;37:61.\nICRP. Adult Reference Computational Phantoms: ICRP Publication 110—Annals of the ICRP. Maryland Heights, MO: Elsevier; 2009; 39 (2):1–165.\nInternational Commission on Radiological Protection. ICRP Publication 60: 1990 Recommendations of the International Commission on Radiological Protection. Ann. ICRP 21 (1-3); 1991.\nDoss M, Kolb HC, Zhang JJ, Bélanger MJ, Stubbs JB, Stabin MG, Hostetler E, Alpaugh R, von Mehren M, Walsh J, Haka M, Mocharla V, Yu J. Biodistribution and radiation dosimetry of the integrin marker 18F-RGD-K5 determined from whole-body PET\u002FCT in monkeys and humans. J Nucl Med. 2012;53:787–95.\nMaddahi J, Czernin J, Lazewatsky J, Huang SC, Dahlbom M, Schelbert H, Devine M. Phase I, first-in-human study of BMS747158, a novel 18F-labeled tracer for myocardial perfusion PET: dosimetry, biodistribution, safety, and imaging characteristics after a single injection at rest. J Nucl Med. 2011;52:1490–8.\nLazewatsky J, Azure M, Guaraldi M, Kagan M, MacDonald J, Yu M, Robinson S. Dosimetry of BMS747158, a novel 18F-labeled tracer for myocardial perfusion imaging, in nonhuman primates at rest. J Nucl Med. 2008;49 suppl 1:15.\nTakano A, Gulyás B, Varrone A, Karlsson P, Sjoholm N, Larsson S, Hoffmann A. Biodistribution and radiation dosimetry of the 18 kDa translocator protein (TSPO) radioligand [18F]FEDAA1106: a human whole-body PET study. Eur J Nucl Med Mol Imaging. 2011;38:2058–65.\nBretin F, Mauxion T, Warnock G, Bahri MA, Libert L, Lemaire C, Plenevaux A. Hybrid microPET imaging for dosimetric applications in mice: improvement of activity quantification in dynamic microPET imaging for accelerated dosimetry applied to 6-[18F]fluoro-L-DOPA and 2-[18F]lluoro-L-tyrosine. Mol Imaging Biol. 2014;16(3):383–94.\nAlkire MTM, Haier RJP, Shah NKM, Anderson CTM. Positron emission tomography study of regional cerebral metabolism in humans during isoflurane anesthesia. Anesthesiology. 1997;86:549–57.\nToyama H, Ichise M, Liow JS, Vines DC, Seneca NM, Modell KJ, Innis RB. Evaluation of anesthesia effects on [18F]FDG uptake in mouse brain and heart using small animal PET. Nucl Med Biol. 2004;31:251–6.\nStabin M, Farmer A. OLINDA\u002FEXM 2.0: the new generation dosimetry modeling code. J Nucl Med. 2012;53(supplement 1):585.\nZanotti-Fregonara P, Innis RB. Suggested pathway to assess radiation safety of 11C-labeled pet tracers for first-in-human studies. Eur J Nucl Med Mol Imag. 2012;39:544–7.\nICRP. Radiation dose to patients from radiopharmaceuticals: (Addendum 3 to ICRP Publication 53) ICRP publication 106. Ann ICRP. 2008;38:87.",{"VOID":2238},"10.1186\u002Fs40658-016-0160-5","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-016-0160-5",[2241,2256,2271,2284,2297,2310,2332,2345,2358,2371,2384,2399,2412,2425,2438],{"id":2242,"sortIndex":106,"researcher":23,"roles":2243,"affiliations":2244,"properties":2253,"displayName":2255,"givenName":23,"familyName":23},"b8156ea1-ebf0-474c-965b-938364c325c0",[990],[2245],{"id":2246,"sortIndex":106,"affiliation":2247,"properties":23},"025b4693-e3e6-424a-965e-6ce8921ad275",{"id":2246,"createTime":23,"updateTime":23,"relativeEntities":2248,"slug":23,"properties":2249,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2252,"statistic":23},[],{"title":2250},{"VI":2251},"Institute of Radiopharmaceutical Cancer Research, Research Site Leipzig, Helmholtz-Zentrum Dresden-Rossendorf, Leipzig, Germany",[],{"title":2254},{"VI":2255},"Mathias Kranz",{"id":2257,"sortIndex":156,"researcher":23,"roles":2258,"affiliations":2259,"properties":2268,"displayName":2270,"givenName":23,"familyName":23},"f37cd301-61d6-4f2a-8032-7c76089c14eb",[990],[2260],{"id":2261,"sortIndex":106,"affiliation":2262,"properties":23},"ac52d354-81d9-4c1c-88f3-c03d838df62a",{"id":2261,"createTime":23,"updateTime":23,"relativeEntities":2263,"slug":23,"properties":2264,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2267,"statistic":23},[],{"title":2265},{"VI":2266},"Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany",[],{"title":2269},{"VI":2270},"Bernhard Sattler",{"id":2272,"sortIndex":237,"researcher":23,"roles":2273,"affiliations":2274,"properties":2281,"displayName":2283,"givenName":23,"familyName":23},"9791945b-dcff-4259-9059-54613168da12",[990],[2275],{"id":2261,"sortIndex":106,"affiliation":2276,"properties":23},{"id":2261,"createTime":23,"updateTime":23,"relativeEntities":2277,"slug":23,"properties":2278,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2280,"statistic":23},[],{"title":2279},{"VI":2266},[],{"title":2282},{"VI":2283},"Solveig Tiepolt",{"id":2285,"sortIndex":24,"researcher":23,"roles":2286,"affiliations":2287,"properties":2294,"displayName":2296,"givenName":23,"familyName":23},"d14f442d-911b-41ce-93f5-c1ba2374f04a",[990],[2288],{"id":2261,"sortIndex":106,"affiliation":2289,"properties":23},{"id":2261,"createTime":23,"updateTime":23,"relativeEntities":2290,"slug":23,"properties":2291,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2293,"statistic":23},[],{"title":2292},{"VI":2266},[],{"title":2295},{"VI":2296},"Stephan Wilke",{"id":2298,"sortIndex":119,"researcher":23,"roles":2299,"affiliations":2300,"properties":2307,"displayName":2309,"givenName":23,"familyName":23},"0a933362-8628-4b38-8489-1ddc94a5a01a",[990],[2301],{"id":2246,"sortIndex":106,"affiliation":2302,"properties":23},{"id":2246,"createTime":23,"updateTime":23,"relativeEntities":2303,"slug":23,"properties":2304,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2306,"statistic":23},[],{"title":2305},{"VI":2251},[],{"title":2308},{"VI":2309},"Winnie Deuther-Conrad",{"id":2311,"sortIndex":160,"researcher":23,"roles":2312,"affiliations":2313,"properties":2329,"displayName":2331,"givenName":23,"familyName":23},"5c16ab8a-df32-4a28-8fbb-9763736cafae",[990],[2314,2320],{"id":2246,"sortIndex":106,"affiliation":2315,"properties":23},{"id":2246,"createTime":23,"updateTime":23,"relativeEntities":2316,"slug":23,"properties":2317,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2319,"statistic":23},[],{"title":2318},{"VI":2251},[],{"id":2321,"sortIndex":156,"affiliation":2322,"properties":2328},"119ee8d1-46e8-4d46-b292-938c760a382d",{"id":2321,"createTime":23,"updateTime":23,"relativeEntities":2323,"slug":23,"properties":2324,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":2327,"statistic":23},[],{"title":2325},{"VI":2326},"Division of Brain Sciences, Department of Medicine, Hammersmith Hospital Campus, Imperial College London, London, UK",[],{},{"title":2330},{"VI":2331},"Cornelius K. 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emission computed tomography (SPECT) imaging is an important diagnostic tool for the early detection of the loss of nigrostriatal dopaminergic neurons in Parkinson’s disease (PD) and similar neurodegenerative disorders. Visualization and quantification of dopamine transporter (DAT) binding in the striatum is an established diagnostic tool to detect nigrostriatal dopaminergic degeneration. Given the small size of the striatum, high-resolution imaging is recommended. The InSPira HD system, a novel brain-dedicated SPECT scanner, allows for such detailed information with a spatial resolution down to ~ 3 mm full width at half maximum (FWHM). The current study examines performance of the InSPira HD for DAT imaging, by combining phantom tests from NU 1-2012 and NU 2-2012, and striatal scans. Due to the unique geometry of the InSPira, and fixed acquisition and reconstruction settings, standard National Electrical Manufacturers Association (NEMA) testing is not applicable. Therefore, a combination of NU 1-2012 and NU 2-2012 standards were applied, with modifications to accommodate the InSPira HD. A small Jaszczak phantom with hot spheres and cold rod inserts was used to determine recovery coefficients, contrast, and uniformity. Spatial resolution was evaluated across the field of view (FOV) for point and line sources in air and water. A striatal phantom was used to model DAT imaging. A clinical, a high-resolution, and an experimental research reconstruction method were compared. Acquired SPECT images demonstrated spatial resolution in air of ~ 3 mm in the center in the FOV for the high-resolution reconstruction approach. Spatial resolution in air for the clinical and research reconstruction approach was ~ 6–8 mm in the center of the FOV, which decreased in the transaxial plane with increasing radial distance from the center of the FOV. Reconstructed images of the uniform area of the Jaszczak phantom showed limited variability with a coefficient of variation of 2.6% for the clinical reconstruction and 3.0% for the research reconstruction. The ≥ 6-mm rod group and all spheres were resolved for the clinical and research reconstruction approaches. Recovery coefficients (RCs) for the Jaszczak phantom ranged from 0.49 to 0.89 (sphere diameters between 9.8 and 31.2 mm). RCs for the striatal phantom ranged from 0.50 to 0.55, with linearity of striatal ratios for a range of background concentrations (R = 0.97). Results from the phantom data demonstrated acceptable image quality for the InSPira HD system for DAT SPECT imaging in humans.",{"EN":2523},"Performance evaluation of a novel brain-dedicated SPECT system",{"VOID":2525},"Bajaj N, Hauser RA, Grachev ID. Clinical utility of dopamine transporter single photon emission CT (DaT-SPECT) with 123Iioflupane in diagnosis of parkinsonian syndromes. J Neurol Neurosurg Psychiatry. 2013;84(11):1288–95.\nSuwijn SR, van Boheemen CJ, de Haan RJ, Tissingh G, Booij J, de Bie RM. The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson’s disease or clinically uncertain parkinsonism: a systematic review. EJNMMI Res. 2015;17:5–12.\nVerhoeff NP, Kapucu O, Sokole-Busemann E, van Royen EA, Janssen AG. Estimation of dopamine D2 receptor binding potential in the striatum with iodine-123-IBZM SPECT: technical and interobserver variability. J Nucl Med. 1993;34(12):2076–84.\nOh M, Kim JS, Kim JY, Shin KH, Park SH, Kim HO, Moon DH, Oh SJ, Chung SJ, Lee CS. Subregional patterns of preferential striatal dopamine transporter loss differ in Parkinson disease, progressive supranuclear palsy, and multiple-system atrophy. J Nucl Med. 2012;53(3):399–406. https:\u002F\u002Fdoi.org\u002F10.2967\u002Fjnumed.111.095224.\nPencharz DR, Hanlon P, Chakravartty R, Navalkissoor S, Quigley AM, Wagner T, Wagner T. Automated quantification with BRASS reduces equivocal reporting of DaTSCAN (123I-FP-CIT) SPECT studies. Nucl Med Rev Cent East Eur. 2014;17(2):65–9.\nSensakovic WF, Hough MC, Kimbley EA. ACR testing of a dedicated head SPECT unit. J Appl Clin Med Phys. 2014 Jul 8;15(4):4632.\nNational Electrical Manufacturers Association (NEMA). Performance measurements of gamma cameras: National Electrical Manufacturers Association; 2012.\nNational Electrical Manufacturers Association (NEMA). Standards publication NU 2-2012, performance measurements of positron emission tomographs. Rosslyn: NEMA; 2012.\nDarcourt J, Booij J, Tatsch K, et al. EANM procedure guidelines for brain neurotransmission SPECT using (123)I-labelled dopamine transporter ligands, version 2. Eur J Nucl Med Mol Imaging. 2010 Feb;37(2):443–50.\nMadsen MT. Recent advances in SPECT imaging. J Nucl Med. 2007 Apr;48(4):661–73.\nJansen FP, Vanderheyden JL. The future of SPECT in a time of PET. Nucl Med Biol. 2007;34(7):733–5.\nVarrone A, Dickson JC, Tossici-Bolt L, et al. European multicentre database of healthy controls for [123I]FP-CIT SPECT (ENC-DAT): age-related effects, gender differences and evaluation of different methods of analysis. Eur J Nucl Med Mol Imaging. 2013 Jan;40(2):213–27.\nKappadath SC. Effects of voxel size and iterative reconstruction parameters on the spatial resolution of 99mTc SPECT\u002FCT. 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