Correlations between regional adipose gene expression and MRI findings in patients with upper or lower extremity lymphedema

Motivation: Lymphedema is the accumulation of interstitial fluid in soft tissues and affects approximately 140-200 million worldwide. There is currently a paucity of lymphedema studies that validate gene expression data with MR data. Goal(s): The purpose of our study was to correlate regional adipose gene expression from RNA sequencing with MR-derived features such as fat volume, fluid volume, fat fraction and total subcutaneous area. Approach: This IRB-approved retrospective study in patients with extremity lymphedema correlated MR findings from the affected and contralateral unaffected extremity with RNA sequencing. Results: Our results integrate RNA sequencing data and MR imaging analyses to differentiate lymphedema from normal tissue. Impact: Future applications will evaluate these gene expression patterns and imaging features, including radiomics, in cases of early/equivocal lymphedema to assess gene changes that correlate with duration/severity of disease to provide insight into the natural history and pathophysiology of lymphedema.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/3687
Primary Topic
Lymphatic System and Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Correlations between regional adipose gene expression and MRI findings in patients with upper or lower extremity lymphedema

Dhruv K Singhal, Charissa Kim, Margo P. Emont, James E. Fanning 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
Lymphatic System and Diseases
article

Correlations between regional adipose gene expression and MRI findings in patients with upper or lower extremity lymphedema

Dhruv K Singhal, Charissa Kim, Margo P. Emont, James E. Fanning, Adina F. Turcu, Gopal Varma, Gregory P. Westcott, Leo L. Tsai
article en

Abstract

Motivation: Lymphedema is the accumulation of interstitial fluid in soft tissues and affects approximately 140-200 million worldwide. There is currently a paucity of lymphedema studies that validate gene expression data with MR data. Goal(s): The purpose of our study was to correlate regional adipose gene expression from RNA sequencing with MR-derived features such as fat volume, fluid volume, fat fraction and total subcutaneous area. Approach: This IRB-approved retrospective study in patients with extremity lymphedema correlated MR findings from the affected and contralateral unaffected extremity with RNA sequencing. Results: Our results integrate RNA sequencing data and MR imaging analyses to differentiate lymphedema from normal tissue. Impact: Future applications will evaluate these gene expression patterns and imaging features, including radiomics, in cases of early/equivocal lymphedema to assess gene changes that correlate with duration/severity of disease to provide insight into the natural history and pathophysiology of lymphedema.

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
Openalex Percentile: Top 66%
Lymphatic System and Diseases
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Correlations between regional adipose gene expression and MRI findings in patients with upper or lower extremity lymphedema — Dhruv K Singhal, Charissa Kim, 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 (2025) | TGRS Research Map | TGRS