Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach

Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach

Background: Treatment of locally advanced rectal cancer (LARC) involves neoadjuvant chemoradiotherapy (nCRT), followed by total mesorectal excision. Examining the response to treatment is one of the most important factors in the follow-up of patients; therefore, in this study, radiomics patterns der...

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Bibliographic Details
Main Authors: Seyyed Hossein Mousavie Anijdan, Daryush Moslemi, Reza Reiazi, Hamid Fallah Tafti, Ali Akbar Moghadamnia, Reza Paydar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Medical Signals and Sensors
Subjects:
computed tomography
neoadjuvant chemoradiation
radiomics feature
rectal cancer
Online Access:https://journals.lww.com/10.4103/jmss.jmss_46_23
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