Bảng nomogram lâm sàng và hình ảnh học trước phẫu thuật dự đoán xâm lấn vi mạch trong ung thư tế bào gan sử dụng $$^{18}$$F-FDG PET/CT

BMC Medical Imaging - 2022
Yutao Wang1, Shuying Luo2, Gehui Jin3, Randi Fu2, Zhongfei Yu4, Jian Zhang4
1The Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang Province, 315020, China
2Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang Province, 315211, China
3Medical School, Ningbo University, Ningbo, Zhejiang Province, 315211, China
4Shanghai Universal Medical Imaging Diagnostic Center, Shanghai University, Building 8, 406 Guilin Road, Xuhui District, Shanghai, 201103, China

Tóm tắt

Abstract Mục đích

Mục đích của nghiên cứu này là phát triển một bảng nomogram lâm sàng-hình ảnh học bằng cách kết hợp điểm hình ảnh học (radiomics score) và các yếu tố dự đoán lâm sàng để dự đoán trước phẫu thuật xâm lấn vi mạch trong ung thư tế bào gan.

 Phương pháp

Tổng cộng có 97 bệnh nhân HCC được thu thập hồi cứu từ Trung tâm Chẩn đoán Hình ảnh Y tế Toàn cầu Thượng Hải và Bệnh viện Changhai thuộc Đại học Y tế Quân sự Thứ hai. 909 lát cắt CT và 909 lát cắt PET từ 97 bệnh nhân HCC được chia thành nhóm huấn luyện (N = 637) và nhóm xác thực (N = 272). Các đặc điểm hình ảnh học được trích xuất từ mỗi lát cắt CT hoặc PET, và việc chọn lựa đặc điểm được thực hiện bằng việc hồi quy thụt giảm tuyệt đối tối thiểu và cũng tạo ra điểm hình ảnh học. Bảng nomogram lâm sàng-hình ảnh học được thiết lập bằng cách tích hợp điểm hình ảnh học và các yếu tố dự đoán lâm sàng, và hiệu suất của các mô hình được đánh giá dựa trên khả năng phân biệt, khả năng hiệu chỉnh và tính hữu ích lâm sàng của chúng.

Từ khóa

#xâm lấn vi mạch #ung thư tế bào gan #bảng nomogram #hình ảnh học #điểm hình ảnh học.

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