ArticleEuropean heart journal. Cardiovascular Imaging2022
Phenotyping hypertrophic cardiomyopathy using cardiac diffusion magnetic resonance imaging: the relationship between microvascular dysfunction and microstructural changes.
Article in European heart journal. Cardiovascular Imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 44 citations in OpenAlex.
- Vascular changes in hypertrophic cardiomyopathy.Cardiovascular research · 2026Review
- Uncertainty Quantification for Cardiac Diffusion Tensor Imaging Without Additional Datasets.Magnetic resonance in medicine · 2026Article
- Knowledge mapping of targeted therapy for hypertrophic cardiomyopathy: A bibliometric analysis of myosin inhibitor research.Medicine · 2026Article
- Imaging-Based Risk Stratification for Sudden Cardiac Death in Hypertrophic Cardiomyopathy: Current Evidence and Clinical Perspectives.Medical sciences (Basel, Switzerland) · 2026Review
- Microstructural disease and hypoperfusion in dilated cardiomyopathy underpin midwall septal fibrosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Effects of gadolinium-based contrast agents on the cardiac diffusion-weighted images of phantoms and patients.Magma (New York, N.Y.) · 2026Article
- Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques.Magnetic resonance in medicine · 2026Article
- Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients.Magnetic resonance in medicine · 2025Article
- Percutaneous intramyocardial septal radiofrequency ablation: a novel treatment for drug-refractory non-obstructive hypertrophic cardiomyopathy with severe septal hypertrophy.Heart (British Cardiac Society) · 2025Article
- Myocardial Perfusion Imaging with Cardiovascular Magnetic Resonance in Nonischemic Cardiomyopathies: An In-Depth Review of Techniques and Clinical Applications.Medicina (Kaunas, Lithuania) · 2025Review
- Exploring the Current Status of Risk Stratification in Hypertrophic Cardiomyopathy: From Risk Models to Promising Techniques.Journal of cardiovascular development and disease · 2025Review
- Myocardial disarray and fibrosis across hypertrophic cardiomyopathy stages associate with ECG markers of arrhythmic risk.European heart journal. Cardiovascular Imaging · 2025Article
- Imaging myocardial scar in hypertrophic cardiomyopathy: advances in CMR and CT.Frontiers in cardiovascular medicine · 2025Review
- Post-mortem Cardiac MRI in Sudden Cardiac Death: The Interesting Intertwining of Radiology and Histology to Diagnose Arrhythmic Death or Myocardial Infarction.Current medical imaging · 2025Article
- Multi-center investigation of cardiac diffusion tensor imaging in healthy volunteers by the Society of Cardiovascular Magnetic Resonance Cardiac Diffusion Special Interest Group NETwork (SIGNET).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Observational
- Cardiac magnetic resonance research advances in myocardial fibrosis of hypertrophic cardiomyopathy.Frontiers in cardiovascular medicine · 2025Review
- In vivo diffusion MRI of the human heart using a 300 mT/m gradient system.Magnetic resonance in medicine · 2024Article
- Next-Generation Cardiac Magnetic Resonance Imaging Techniques for Characterization of Myocardial Disease.Current treatment options in cardiovascular medicine · 2024Article
- Focal ischemic myocardial fibrosis assessed by late gadolinium enhancement cardiovascular magnetic resonance in patients with hypertrophic cardiomyopathy.BMC cardiovascular disorders · 2024Article
- Advances in Multi-Modality Imaging in Hypertrophic Cardiomyopathy.Journal of clinical medicine · 2024Review
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Authors and funding
20 authors at 4 institutions in 2 countries.
Funding
Abstract
aimsMicrovascular dysfunction in hypertrophic cardiomyopathy (HCM) is predictive of clinical decline, however underlying mechanisms remain unclear. Cardiac diffusion tensor imaging (cDTI) allows in vivo characterization of myocardial microstructure by quantifying mean diffusivity (MD), fractional anisotropy (FA) of diffusion, and secondary eigenvector angle (E2A). In this cardiac magnetic resonance (CMR) study, we examine associations between perfusion and cDTI parameters to understand the sequence of pathophysiology and the interrelation between vascular function and underlying microstructure. METHODS AND
resultsTwenty HCM patients underwent 3.0T CMR which included: spin-echo cDTI, adenosine stress and rest perfusion mapping, cine-imaging, and late gadolinium enhancement (LGE). Ten controls underwent cDTI. Myocardial perfusion reserve (MPR), MD, FA, E2A, and wall thickness were calculated per segment and further divided into subendocardial (inner 50%) and subepicardial (outer 50%) regions. Segments with wall thickness ≤11 mm, MPR ≥2.2, and no visual LGE were classified as 'normal'. Compared to controls, 'normal' HCM segments had increased MD (1.61 ± 0.09 vs. 1.46 ± 0.07 × 10-3 mm2/s, P = 0.02), increased E2A (60 ± 9° vs. 38 ± 12°, P < 0.001), and decreased FA (0.29 ± 0.04 vs. 0.35 ± 0.02, P = 0.002). Across all HCM segments, subendocardial regions had higher MD and lower MPR than subepicardial (MDendo 1.61 ± 0.08 × 10-3 mm2/s vs. MDepi 1.56 ± 0.18 × 10-3 mm2/s, P = 0.003, MPRendo 1.85 ± 0.83, MPRepi 2.28 ± 0.87, P < 0.0001).
conclusionIn HCM patients, even in segments with normal wall thickness, normal perfusion, and no scar, diffusion is more isotropic than in controls, suggesting the presence of underlying cardiomyocyte disarray. Increased E2A suggests the myocardial sheetlets adopt hypercontracted angulation in systole. Increased MD, most notably in the subendocardium, is suggestive of regional remodelling which may explain the reduced subendocardial blood flow.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.