Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models

Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models

BackgroundThis study aimed to establish an effective model for preoperative prediction of tumor deposits (TDs) in patients with rectal cancer (RC). MethodsIn 500 patients, radiomic features were extracted from magnetic resonance imaging (MRI) using modalities such as high-resolution T2-weighted (HRT...

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Bibliographic Details
Main Authors: Chunlong Fu, Tingting Shao, Min Hou, Jiali Qu, Ping Li, Zebin Yang, Kangfei Shan, Meikang Wu, Weida Li, Xuan Wang, Jingfeng Zhang, Fanghong Luo, Long Zhou, Jihong Sun, Fenhua Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
deep learning
rectal cancer
tumor deposit
magnetic resonance imaging
diffusion-weighted imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1078863/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1078863/full

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