MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer.

ABSTRACT:

Background

Functional tumor volume (FTV), measured from dynamic contrast-enhanced MRI, is an imaging biomarker that can predict treatment response in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). The FTV-based predictive model, combined with core biopsy, informed treatment decisions of recommending patients with excellent responses to proceed to surgery early in a large NAC clinical trial.

Methods

In this retrospective study, we constructed models using FTV measurements. We analyzed performance tradeoffs when a probability threshold was used to identify excellent responders through the prediction of pathology complete response (pCR). Individual models were developed within cohorts defined by the hormone receptor and human epidermal growth factor receptor

SUBMITTER: Li W 

PROVIDER: S-EPMC11946387 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature