The value of intratumoral and peritumoral radiomics features based on multiparametric MRI for predicting molecular staging of breast cancer.

ABSTRACT:

Purpose

A model for preoperative prediction of molecular subtypes of breast cancer using tumor and peritumor radiomics features from multiple magnetic resonance imaging (mMRI) sequences, combined with semantic features.

Materials and methods

A total of 254 female patients with pathogically confirmed breast cancer were enrolled in this study. Preoperative mMRI, including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE) sequences, covered the entire breast. To analyze the MRI semantic features of different molecular subtypes of breast cancer and identify independent predictive risk factors. Thirty-three binary classification models were established based on the radiomic features of different sequences and peritumoral ranges.

SUBMITTER: Han Y 

PROVIDER: S-EPMC11933106 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature