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 patients (training set: 88; test set: 23) were retrospectively enrolled. Dynamic MR images were acquired at baseline (MRI_pre), before brachytherapy delivery (MRI_mid) and at each follow-up visit. Clinical characteristics, 2-year progression-free survival (PFS), and 2-year overall survival (OS) were evaluated. The least absolute shrinkage and selection operator (LASSO) method was applied to extract features from MR images as well as from clinical characteristics. The support v

SUBMITTER: Cai C 

PROVIDER: S-EPMC11662755 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature