Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy

Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy

Abstract Purpose To establish prediction models to predict 2-year overall survival (OS) and stratify patients with different risks based on radiomics features extracted from magnetic resonance imaging (MRI) and computed tomography (CT) before definite chemoradiotherapy (dCRT) in locally advanced eso...

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Bibliographic Details
Main Authors: Nuo Yu, Yidong Wan, Lijing Zuo, Ying Cao, Dong Qu, Wenyang Liu, Lei Deng, Tao Zhang, Wenqing Wang, Jianyang Wang, Jima Lv, Zefen Xiao, Qinfu Feng, Zongmei Zhou, Nan Bi, Tianye Niu, Xin Wang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Esophageal squamous cell carcinoma
MRI
CT
Radiomics features
Prediction
Prognosis
Online Access:https://doi.org/10.1186/s12885-025-13996-2
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https://doi.org/10.1186/s12885-025-13996-2

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