Multiparametric MRI radiomics nomogram for predicting lymph-vascular space invasion in early-stage cervical cancer.

ABSTRACT:

Objective

To develop a radiomics nomogram based on multiparametric MRI (mpMRI) to pre-operatively predict lymph-vascular space invasion (LVSI) in patients with early-stage cervical cancer.

Methods

This retrospective study included 233 consecutive patients with Stage IB-IIB cervical cancer. According to the ratio of 2:1, 154 patients and 79 patients were randomly assigned to the primary and validation cohorts, respectively. Features with intraclass and interclass correlation coefficient (ICCs) greater than 0.75 were selected for radiomics features. The significant features for predicting LVSI were selected using the least absolute shrinkage and selection operator (LASSO) algorithm based on the primary cohort. The rad-score for each patient was constructed via a linear combina

SUBMITTER: Xiao M 

PROVIDER: S-EPMC10996415 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature