Longitudinal dynamic MRI radiomic models for early prediction of prognosis in locally advanced cervical cancer treated with concurrent chemoradiotherapy

Longitudinal dynamic MRI radiomic models for early prediction of prognosis in locally advanced cervical cancer treated with concurrent chemoradiotherapy

Abstract Purpose To investigate the early predictive value of dynamic magnetic resonance imaging (MRI)-based radiomics for progression and prognosis in locally advanced cervical cancer (LACC) patients treated with concurrent chemoradiotherapy (CCRT). Methods and Materials A total of 111 LACC patient...

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Bibliographic Details
Main Authors: Chang Cai, Ji-Feng Xiao, Rong Cai, Dan Ou, Yi-Wei Wang, Jia-Yi Chen, Hao-Ping Xu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Radiation Oncology
Subjects:
Cervical cancer
Concurrent chemoradiotherapy
Prognosis
Radiomics
Machine learning
Online Access:https://doi.org/10.1186/s13014-024-02574-8
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