Development of a combined model incorporating clinical characteristics and magnetic resonance imaging features to enhance the predictive value of a prognostic model for locally advanced cervical cancer

Development of a combined model incorporating clinical characteristics and magnetic resonance imaging features to enhance the predictive value of a prognostic model for locally advanced cervical cancer

ObjectiveThis study aimed to develop non-invasive predictive tools based on clinical characteristics and magnetic resonance imaging (MRI) features to predict survival in patients with locally advanced cervical cancer (LACC), thereby facilitating clinical decision-making.MethodsWe conducted a retrosp...

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Bibliographic Details
Main Authors: Canyang Lin, Fengling Yang, Baoling Guo, Nan Xiao, Dongxia Liao, Pengfei Liu, Yunshan Jiang, Jiancheng Li, Xiaolei Ni
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
clinical characteristics
magnetic resonance imaging
prognosis
radiotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1284493/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1284493/full

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