Abstract #4763

Retrospective Multisite Multisoftware Analysis of Intravoxel Incoherent Motion (IVIM) Breast MRI

Dibash Basukala¹, Artem Mikheev¹, Nima Gilani¹, Linda Moy¹, Katja Pinker², Savannah C. Partridge³, Debosmita Biswas³, Mami Iima⁴, Tone F. Bathen⁵, Sunitha B. Thakur², and Eric E. Sigmund¹

¹Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, ²Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ³Department of Radiology, University of Washington, Seattle, WA, United States, ⁴Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, ⁵Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway

Synopsis

Keywords: Breast, Data Analysis, Breast Tumor

Motivation: Intravoxel incoherent motion (IVIM) MRI is helpful in breast tumor characterization, but variable performance exists in the literature.

Goal(s): Translational assessment of multisite breast lesion data based on the 1^st order radiomics features from each IVIM parameters perfusion fraction (f_p), pseudodiffusivity (D_p) and tissue diffusivity (D_t) derived from multiple software platforms.

Approach: This work used retrospective anonymized breast MRI data from three sites employing three different software to estimate the 1^st order radiomics of f_p, D_p and D_t, their software robustness, and diagnostic utility.

Results: D_tmean, D_tminimum, and f_pmean showed robustness across site/software; and D_tmean, D_tminimum showed highest and most consistent diagnostic utility.

Impact: Multiple 1^st order radiomics features of tissue diffusivity (D_t) or perfusion fraction (f_p) obtained from a heterogeneous multi-site dataset showed software robustness and/or diagnostic utility, supporting their potential consideration in controlled prospective trials.

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