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Dataset Information

Diagnostic value of ultrasound radiomic features in differentiating benign and malignant breast lesions.


ABSTRACT:

Purpose

This study aims to explore the relationship between ultrasound radiomics features and semantic features from BI-RADS classification in the preoperative differentiation of benign and malignant breast lesions, as well as the potential diagnostic advantages of radiomics features.

Methods

Retrospective analysis was performed on 147 female patients with pathologically confirmed breast lesions. Ultrasound images and clinical data were used to construct three diagnostic models: BI-RADS classification single factor diagnostic model, Radiomics diagnostic model, and a BI-RADS-radiomic combined model. Additionally, univariate radiomic models based on semantic features were developed to investigate the associations.

Results

The BI-RADS-Radiomics combined model demonstrate

SUBMITTER: Gong Y 

PROVIDER: S-EPMC12496310 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature