Ultrasound radiomics based on axillary lymph nodes images for predicting lymph node metastasis in breast cancer.

ABSTRACT:

Objectives

To determine whether ultrasound radiomics can be used to distinguish axillary lymph nodes (ALN) metastases in breast cancer based on ALN imaging.

Methods

A total of 147 breast cancer patients with 41 non-metastatic lymph nodes and 109 metastatic lymph nodes were divided into a training set (105 ALN) and a validation set (45 ALN). Radiomics features were extracted from ultrasound images and a radiomics signature (RS) was built. The Intraclass correlation coefficients (ICCs), Spearman correlation analysis, and least absolute shrinkage and selection operator (LASSO) methods were used to select the ALN status-related features. All images were assessed by two radiologists with at least 10 years of experience in ALN ultrasound examination. The performance levels of the

SUBMITTER: Tang YL 

PROVIDER: S-EPMC10641324 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature