Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients

Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients

Abstract Purpose This study is aimed to develop and validate a machine learning model, which combined radiomics and clinical characteristics to predicting the definitive chemoradiotherapy (dCRT) treatment response in esophageal squamous cell carcinoma (ESCC) patients. Methods: 204 advanced ESCC pati...

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Bibliographic Details
Main Authors: Xiaoyan Yin, Yongbin Cui, Tonghai Liu, Zhenjiang Li, Huiling Liu, Xingmin Ma, Xue Sha, Changsheng Ma, Dali Han, Yong Yin
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Gastroenterology
Subjects:
Radiomics
Treatment response
Definitive chemoradiotherapy
Esophageal squamous cell carcinoma
Online Access:https://doi.org/10.1186/s12876-025-03899-8
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https://doi.org/10.1186/s12876-025-03899-8

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