Region-specific Multi-Omics Modeling for Predicting Acute Radiation-Induced Proctitis in Cervical Cancer Radiotherapy: A Retrospective Analysis

Introduction To develop and evaluate a multi-omics machine-learning model that integrates clinical variables, dose-volume histogram (DVH) metrics, radiomics, and dosiomics from both the rectum and rectal wall regions of interest (ROIs) to improve prediction of acute radiation proctitis (ARP) in cerv...

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Autores principales:	Gaocen Xiao MSc Candidate, Kerun Quan MSc, Miaomiao Zeng BSc, Yanxi Ye MSc, Jiabiao Hong MSc, Zhijun Liu MSc, Haibiao Wu PhD
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SAGE Publishing 2026-03-01
Colección:	Technology in Cancer Research & Treatment
Acceso en línea:	https://doi.org/10.1177/15330338261424144
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