Multiparametric mri-based radiomics nomogram for predicting lymph-vascular space invasion in cervical cancer.

ABSTRACT:

Purpose

To develop and validate a multiparametric magnetic resonance imaging (mpMRI)-based radiomics model for predicting lymph-vascular space invasion (LVSI) of cervical cancer (CC).

Methods

The data of 177 CC patients were retrospectively collected and randomly divided into the training cohort (n=123) and testing cohort (n = 54). All patients received preoperative MRI. Feature selection and radiomics model construction were performed using max-relevance and min-redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) on the training cohort. The models were established based on the extracted features. The optimal model was selected and combined with clinical independent risk factors to establish the radiomics fusion model and the nomogram. The diagn

SUBMITTER: Liu FH 

PROVIDER: S-EPMC11225404 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature