A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer.

ABSTRACT:

Background

Cervical cancer (CC) is a common malignancy of the female reproductive tract, and preoperative prediction of lymph node metastasis (LNM) is essential. This study aims to design and validate a magnetic resonance imaging (MRI) radiomics-based predictive model capable of detecting LNM in patients diagnosed with CC.

Methods

This retrospective analysis incorporated 86 and 38 CC patients into the training and testing groups, respectively. Radiomics features were extracted from MRI T2WI, T2WI-SPAIR, and axial apparent diffusion coefficient (ADC) sequences. Selected features identified in the training group were then used to construct a radiomics scoring model, with relevant LNM-related risk factors having been identified through univariate and multivariate logistic regre

SUBMITTER: Wang T 

PROVIDER: S-EPMC10873981 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature