Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer

Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer

ObjectiveTo develop and validate a multiregional-based magnetic resonance imaging (MRI) radiomics model and combine it with clinical data for individual preoperative prediction of lymph node (LN) metastasis in rectal cancer patients.Methods186 rectal adenocarcinoma patients from our retrospective st...

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Bibliographic Details
Main Authors: Xiangchun Liu, Qi Yang, Chunyu Zhang, Jianqing Sun, Kan He, Yunming Xie, Yiying Zhang, Yu Fu, Huimao Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
rectal cancer
magnetic resonance imaging (MRI)
machine learning
radiomics
lymph nodes
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.585767/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.585767/full

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