Unknown

Dataset Information

Revolutionizing HER-2 assessment: multidimensional radiomics in breast cancer diagnosis.


ABSTRACT:

Objective

To explore the application value of multidimensional radiomics based on ultrasound imaging in assessing the HER-2 status of breast cancer.

Methods

We retrospectively analyzed the ultrasound imaging, clinical, and laboratory data of 850 breast cancer patients from two centers. During the study, we first utilized automation technology to accurately delineate the tumor region of interest (ROI) in breast ultrasound imaging. Subsequently, the intra-tumoral ROI was automatically expanded by 1 cm and 2 cm to obtain larger areas including the peritumoral tissues, and further generated three-dimensional volumes of interest (VOI) within and around the tumor. Through the K-means clustering method, we identified the sub-regions of interest within the ROI and extracted correspo

SUBMITTER: Xie H 

PROVIDER: S-EPMC11829378 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature