Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) Multisoftware Study

Overview

Journal Front Oncol

Specialty Oncology

Date 2025 Mar 11

PMID 40066090

Authors

Dibash Basukala

Artem Mikheev

Xiaochun Li

Judith D Goldberg

Nima Gilani

Linda Moy

Katja Pinker

Savannah C Partridge

Debosmita Biswas

Masako Kataoka

Maya Honda

Mami Iima

Sunitha B Thakur

Eric E Sigmund

Affiliations

Soon will be listed here.

Abstract

Introduction: The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. It has been extensively applied for both diagnostic and prognostic goals in breast cancer, with increasing evidence supporting its clinical relevance. However, variable performance exists in literature owing to the heterogeneity in datasets and quantification methods.

Methods: This work used retrospective anonymized breast MRI data (302 patients) from three sites employing three different software utilizing least-squares segmented algorithms and Bayesian fit to estimate 1 order radiomics of IVIM parameters perfusion fraction ( ), pseudo-diffusion ( ) and tissue diffusivity ( ). Pearson correlation () coefficients between software pairs were computed while logistic regression model was implemented to test malignancy detection and assess robustness of the IVIM metrics.

Results: and maps generated from different software showed consistency across platforms while maps were variable. The average correlation between the three software pairs at three different sites for 1 order radiomics of IVIM parameters were /////: 0.791/0.891/0.98/0.815/0.697/0.584; ////: 0.615/0.871/0.679/0.541/0.433; ////: 0.616/0.56/0.587/0.454/0.51. Correlation between least-squares algorithms were the highest. showed highest area under the ROC curve (AUC) with 0.85 and lowest coefficient of variation (CV) with 0.18% for benign and malignant differentiation using logistic regression. metrics were highly diagnostic as well as consistent along with metrics.

Discussion: Multiple 1 order radiomic features of and obtained from a heterogeneous multi-site breast lesion dataset showed strong software robustness and/or diagnostic utility, supporting their potential consideration in controlled prospective clinical trials.

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