Radiomic Features Extracted from Magnetic Resonance Imaging to Identify Arteriopathy in a Humanized Mouse Model of Sickle Cell Anemia and Sickle Cell Trait

This study demonstrates feasibility of radiomics in discriminating arterial features between SCD and control mice, and supports radiomics as a non-invasive imaging analytical approach to characterize arterial remodeling in preclinical SCD models, motivating future translational studies linking imaging features to vascular pathology.

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Publication Details

Journal
Annals of Biomedical Engineering
Published
2026-02-23
DOI
https://doi.org/10.1007/s10439-026-04034-8
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Radiomic Features Extracted from Magnetic Resonance Imaging to Identify Arteriopathy in a Humanized Mouse Model of Sickle Cell Anemia and Sickle Cell Trait

Albert Comelli, Viviana Benfante, H. Lee, Manu O. Platt et al.
Annals of Biomedical Engineering
Hemoglobinopathies and Related Disorders
article

Radiomic Features Extracted from Magnetic Resonance Imaging to Identify Arteriopathy in a Humanized Mouse Model of Sickle Cell Anemia and Sickle Cell Trait

Albert Comelli, Viviana Benfante, H. Lee, Manu O. Platt, Liana Hatoum, Edward A. Botchwey
article en

Abstract

This study demonstrates feasibility of radiomics in discriminating arterial features between SCD and control mice, and supports radiomics as a non-invasive imaging analytical approach to characterize arterial remodeling in preclinical SCD models, motivating future translational studies linking imaging features to vascular pathology.

Annals of Biomedical Engineering
National Institutes of Health (US), Georgia Institute of Technology (US), The Wallace H. Coulter Department of Biomedical Engineering (US), Center for Information Technology (US), National Institute of Biomedical Imaging and Bioengineering (US), Ri.MED (IT), University of Palermo (IT)
U.S. Department of Health and Human Services, National Institutes of Health
Reduced inequalities
Openalex Percentile: Top 46%
Hemoglobinopathies and Related Disorders
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