MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer.

ABSTRACT:

Background and aims

Preoperative prediction of axillary lymph node (ALN) burden in patients with early-stage breast cancer is pivotal for individualised treatment. This study aimed to develop a MRI radiomics model for evaluating the ALN burden in early-stage breast cancer and to provide biological interpretability to predictions by integrating radiogenomic data.

Methods

This study retrospectively analyzed 1211 patients with early-stage breast cancer from four centers, supplemented by data from The Cancer Imaging Archive (TCIA) and Duke University (DUKE). MRI radiomic features were extracted from dynamic contrast-enhanced MRI images and an ALN burden-related radscore was constructed by the backpropagation neural network algorithm. Clinical and combined models were developed,

SUBMITTER: Hong M 

PROVIDER: S-EPMC11378375 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature