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Chất lượng dữ liệu trong nghiên cứu hình ảnh tensor khuếch tán ở não bộ trẻ sinh non: một hệ thống tổng quan
Tóm tắt
Để nghiên cứu sự phát triển thần kinh sớm ở trẻ sinh non, việc đánh giá sự trưởng thành của não và tổn thương ngày càng được thực hiện bằng cách sử dụng hình ảnh tensor khuếch tán, trong đó độ tin cậy của dữ liệu cơ bản là điều tối quan trọng. Mục tiêu của bài báo này là tổng hợp tài liệu để đánh giá phương pháp thu thập và xử lý trong các nghiên cứu hình ảnh tensor khuếch tán ở trẻ sinh non. Chúng tôi đã tìm kiếm các cơ sở dữ liệu Embase, Medline, Web of Science và Cochrane để tìm các bài báo liên quan được công bố trong khoảng thời gian từ 2003 đến 2013. Các từ khóa sau đã được sử dụng trong tìm kiếm của chúng tôi: sinh non, hình ảnh thần kinh, não bộ, và hình ảnh tensor khuếch tán. Chúng tôi đã tìm thấy 74 nghiên cứu hình ảnh tensor khuếch tán ở trẻ sinh non đáp ứng tiêu chí của chúng tôi. Đã có sự khác biệt lớn trong phương pháp thu thập và xử lý, và chúng tôi nhận thấy có báo cáo không đầy đủ về các cài đặt này. Mười chín nghiên cứu (26%) báo cáo sử dụng phần cứng cho trẻ sơ sinh. Đánh giá chất lượng dữ liệu không được báo cáo trong 13 (18%) nghiên cứu. Việc sửa lỗi artefacts và loại bỏ dữ liệu không được báo cáo trong 33 (45%) và 18 (24%) nghiên cứu, tương ứng. Các thuật toán ước lượng tensor được báo cáo trong 56 (76%) nghiên cứu nhưng thường là không tối ưu. Các cài đặt thu thập và xử lý hình ảnh tensor khuếch tán được mô tả không đầy đủ trong tài liệu hiện tại, thay đổi đáng kể và thường không đáp ứng được tiêu chuẩn cao nhất.
Từ khóa
#hình ảnh tensor khuếch tán #sinh non #sự trưởng thành của não #đánh giá chất lượng dữ liệuTài liệu tham khảo
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