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Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.

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Summary
This summary is machine-generated.

Intravoxel incoherent motion (IVIM) parameters, specifically pseudo-diffusion (D) and perfusion fraction (f), demonstrate robust diagnostic utility and software consistency for breast tumor characterization across multiple sites. These IVIM metrics show potential for clinical trials.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) offers valuable biomarkers for breast tumor characterization.
  • Its application in breast cancer diagnosis and prognosis is growing, but performance varies due to data and quantification heterogeneity.

Purpose of the Study:

  • To evaluate the software robustness and diagnostic performance of IVIM radiomic parameters (f, D, D) in a multi-site breast MRI dataset.
  • To assess the consistency and malignancy detection capabilities of these IVIM metrics across different quantification methods.

Main Methods:

  • Retrospective analysis of 302 breast MRI scans from three institutions.
  • Estimation of IVIM parameters (f, D, D) using three distinct software packages with least-squares segmented and Bayesian fitting algorithms.
  • Calculation of Pearson correlation coefficients and logistic regression for malignancy differentiation.

Main Results:

  • Pseudo-diffusion (D) and perfusion fraction (f) maps showed good cross-platform consistency, while tissue diffusivity (D) maps were more variable.
  • Least-squares algorithms yielded the highest correlations between software pairs.
  • D demonstrated the highest diagnostic performance (AUC=0.85) and lowest coefficient of variation (0.18%) for differentiating benign from malignant breast lesions.

Conclusions:

  • First-order radiomic features of D and f from IVIM are robust across different software and sites.
  • These IVIM metrics exhibit significant diagnostic utility for breast lesions, supporting their evaluation in prospective clinical trials.