Fractal analysis of longitudinal MRI for predicting response to neoadjuvant chemotherapy in breast cancer.

ABSTRACT: Breast cancer is a highly heterogeneous disease, and accurate prediction of pathological complete response (pCR) at an early stage of neoadjuvant chemotherapy (NAC) is of great clinical importance. This study aims to predict pCR to NAC in breast cancer using longitudinal MRI-based fractal features, while exploring their biological relevance. Fractal dimension and fractal abundance were calculated from pre-treatment and early-treatment MRI scans of 911 patients across three institutions. A nomogram integrating delta fractal features and clinicopathologic variables was developed and validated in three cohorts, achieving AUCs of 0.781-0.807. Delta fractal features were independent predictors of pCR. Transcriptomic analysis in a genomics cohort revealed associations between delta fractal featu

SUBMITTER: Huang Y 

PROVIDER: S-EPMC12804882 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature