Predicting Disease-Free Survival With Multiparametric MRI-Derived Radiomic Signature in Cervical Cancer Patients Underwent CCRT

Predicting Disease-Free Survival With Multiparametric MRI-Derived Radiomic Signature in Cervical Cancer Patients Underwent CCRT

Prognostic biomarkers that can reliably predict the disease-free survival (DFS) of locally advanced cervical cancer (LACC) are needed for identifying those patients at high risk for progression, who may benefit from a more aggressive treatment. In the present study, we aimed to construct a multipara...

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Bibliographic Details
Main Authors: Bing Liu, Zhen Sun, Zi-Liang Xu, Hong-Liang Zhao, Di-Di Wen, Yong-Ai Li, Fan Zhang, Bing-Xin Hou, Yi Huan, Li-Chun Wei, Min-Wen Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Oncology
Subjects:
locally advanced cervical cancer
concurrent chemoradiotherapy
multiparametric magnetic resonance imaging
disease-free survival
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.812993/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.812993/full

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