Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study

Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study

Background: Accurate predictions of distant metastasis (DM) in locally advanced rectal cancer (LARC) patients receiving neoadjuvant chemoradiotherapy (nCRT) are helpful in developing appropriate treatment plans. This study aimed to perform DM prediction through deep learning radiomics. Methods: We r...

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Bibliographic Details
Main Authors: Xiangyu Liu, Dafu Zhang, Zhenyu Liu, Zhenhui Li, Peiyi Xie, Kai Sun, Wei Wei, Weixing Dai, Zhenchao Tang, Yingying Ding, Guoxiang Cai, Tong Tong, Xiaochun Meng, Jie Tian
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:EBioMedicine
Subjects:
Locally advanced rectal cancer
Distant metastasis
Neoadjuvant chemoradiotherapy
Deep learning radiomics
Magnetic resonance imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396421002358

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http://www.sciencedirect.com/science/article/pii/S2352396421002358

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