Structural and Metabolic Insights in Hypertrophic Cardiomyopathy Using LGE and Hyperpolarized 13C Magnetic Resonance Imaging

Motivation: Recent studies suggest that HCM may be fundamentally a metabolic disease. Goal(s): We sought to explore any correlations between metabolism and late gadolinium enhancement in the myocardium that may provide further information on the various metabolic phenotypes of HCM. Approach: We used hyperpolarized 13C-pyruvate MRI to quantify myocardial glycolytic and TCA metabolism and compared this to late gadolinium enhancement (LGE%) from clinical CMR. Results: The findings support the hypothesis that HCM has a significant metabolic component and suggest that HP 13C-MRI could become a valuable tool for characterizing metabolic phenotypes in HCM, potentially aiding in diagnosis, prognosis, and treatment monitoring. Impact: Standard-of-care cardiac magnetic resonance (CMR) provides information on physical form and function, but it does not offer metabolic information on tissue and such information from hyperpolarized 13C MRI could aid in diagnosis and translation of metabolic therapies.

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/10.58530/2025/4346
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural and Metabolic Insights in Hypertrophic Cardiomyopathy Using LGE and Hyperpolarized 13C Magnetic Resonance Imaging

Sanjay Sivalokanathan, Jim Slater, Avantika Sinha, Karen Ordovás 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
Advanced NMR Techniques and Applications
article

Structural and Metabolic Insights in Hypertrophic Cardiomyopathy Using LGE and Hyperpolarized 13C Magnetic Resonance Imaging

Sanjay Sivalokanathan, Jim Slater, Avantika Sinha, Karen Ordovás, Peder E. Z. Larson, Annick Haller, Robert Bok, Jeremy W. Gordon, Roselle Abraham, Yoo Jin Hong, Jing Liu, Xiaoxi Liu, Shuyu Tang, Nicholas Dwok
article en

Abstract

Motivation: Recent studies suggest that HCM may be fundamentally a metabolic disease. Goal(s): We sought to explore any correlations between metabolism and late gadolinium enhancement in the myocardium that may provide further information on the various metabolic phenotypes of HCM. Approach: We used hyperpolarized 13C-pyruvate MRI to quantify myocardial glycolytic and TCA metabolism and compared this to late gadolinium enhancement (LGE%) from clinical CMR. Results: The findings support the hypothesis that HCM has a significant metabolic component and suggest that HP 13C-MRI could become a valuable tool for characterizing metabolic phenotypes in HCM, potentially aiding in diagnosis, prognosis, and treatment monitoring. Impact: Standard-of-care cardiac magnetic resonance (CMR) provides information on physical form and function, but it does not offer metabolic information on tissue and such information from hyperpolarized 13C MRI could aid in diagnosis and translation of metabolic therapies.

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 77%
Advanced NMR Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.