Application of Radiomics in Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Strategies and Challenges
Author:
Affiliation:
1. Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
2. Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, USA
Abstract
Funder
Peking University
Publisher
Hindawi Limited
Subject
Oncology
Link
http://downloads.hindawi.com/journals/jo/2022/1590620.pdf
Reference102 articles.
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2. Colorectal cancer statistics, 2020
3. A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer
4. Multidisciplinary Rectal Cancer Management: 2nd European Rectal Cancer Consensus Conference (EURECA-CC2)
5. Assessing pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review
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