An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer.

ABSTRACT:

Background

Cervical cancer (CC) remains the second leading cause of cancer-related death in women, and the ability to accurately anticipate the presence or absence of lymphovascular space invasion (LVSI) is critical to maintaining optimal patient outcomes. The objective of this study was to establish and verify an MRI radiomics-based model to predict the status of LVSI in patients with operable CC.

Methods

The current study performed a retrospective analysis, with 86 patients in the training cohort and 38 patients in the testing group, specifically focusing on patients with CC. The radiomics feature extraction process included ADC, T2WI-SPAIR, and T2WI sequences. The training group data were used for the initial radionics-based model building, and the model predictive perfor

SUBMITTER: Ma NN 

PROVIDER: S-EPMC11259963 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature