Enhancing prognostic accuracy in invasive breast cancer by combining contrast-enhanced ultrasound and clinical data: a multicenter retrospective study.

ABSTRACT:

Background

Current predictive models for disease-free survival (DFS) in invasive breast cancer predominantly utilize clinical and pathological factors, with minimal incorporation of ultrasound (US) and contrast-enhanced ultrasound (CEUS) characteristics. This study aimed to establish a multimodal map integrating US, clinical features, and US data to enhance the prediction of DFS in invasive breast cancer.

Methods

The study utilized three retrospective datasets obtained from three academic medical centers, covering the period from March 2014 to December 2022. Clinical data, gray scale US, and CEUS were assessed in 942 adult patients undergoing breast cancer resection. The training and internal test sets were supplied by The First Medical Center of the PLA General Hospital, wh

SUBMITTER: Li S 

PROVIDER: S-EPMC11912060 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature