Unknown

Dataset Information

Multimodal PA/US imaging and radiomics for the prediction of HER2-zero, -low, and -positive breast cancers: A novel approach for targeted therapy selection.


ABSTRACT:

Purpose

This study evaluates the efficacy of photoacoustic/ultrasound (PA/US) imaging-based radiomics for distinguishing HER2-zero, HER2-low, and HER2-positive breast cancer (BC), aiming to enhance targeted therapy selection.

Methods

We analyzed 346 pathologically confirmed BC patients who underwent multimodal PA/US imaging at Shenzhen People's Hospital from January 2022 to January 2025. HER2 status was determined pathologically and classified into three levels. Radiologists assessed conventional US features and manually segmented tumors on PA-images for radiomics feature extraction. Using the Least Absolute Shrinkage and Selection Operator analysis, we developed radiomics models for differentiating between HER2-zero versus HER2-low/positive cancers (Task 1), and HER2-low ve

SUBMITTER: Huang Z 

PROVIDER: S-EPMC12446380 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature