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

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 1st order radiomics features from each IVIM parameters perfusion fraction (fp), pseudodiffusivity (Dp) and tissue diffusivity (Dt) derived from multiple software platforms. Approach: This work used retrospective anonymized breast MRI data from three sites employing three different software to estimate the 1st order radiomics of fp, Dp and Dt, their software robustness, and diagnostic utility. Results: Dtmean, Dtminimum, and fpmean showed robustness across site/software; and Dtmean, Dtminimum showed highest and most consistent diagnostic utility. Impact: Multiple 1st order radiomics features of tissue diffusivity (Dt) or perfusion fraction (fp) obtained from a heterogeneous multi-site dataset showed software robustness and/or diagnostic utility, supporting their potential consideration in controlled prospective trials.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4763
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

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

Eric E. Sigmund, Debosmita Biswas, Savannah C. Partridge, Katja Pinker et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Medical Imaging Techniques and Applications
article

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

Eric E. Sigmund, Debosmita Biswas, Savannah C. Partridge, Katja Pinker, Tone F. Bathen, Nima Gilani, Artem Mikheev, Linda Moy, Sunitha B. Thakur, Dibash Basukala, Mami Iima
article en

Abstract

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 1st order radiomics features from each IVIM parameters perfusion fraction (fp), pseudodiffusivity (Dp) and tissue diffusivity (Dt) derived from multiple software platforms. Approach: This work used retrospective anonymized breast MRI data from three sites employing three different software to estimate the 1st order radiomics of fp, Dp and Dt, their software robustness, and diagnostic utility. Results: Dtmean, Dtminimum, and fpmean showed robustness across site/software; and Dtmean, Dtminimum showed highest and most consistent diagnostic utility. Impact: Multiple 1st order radiomics features of tissue diffusivity (Dt) or perfusion fraction (fp) obtained from a heterogeneous multi-site dataset showed software robustness and/or diagnostic utility, supporting their potential consideration in controlled prospective trials.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 63%
Medical Imaging Techniques and Applications
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Retrospective Multisite Multisoftware Analysis of Intravoxel Incoherent Motion (IVIM) Breast MRI — Eric E. Sigmund, Debosmita Biswas, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS