Amit R Patel, MD
PRIMARY APPOINTMENT
Julian Ruffin Beckwith Professor of Medicine
Professor of Radiology and Medical Imaging
Director, Cardiac Imaging
Director, Cardiac MRI and Cardiac CT
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RESEARCH SUMMARY
Dr. Patel’s research focuses on applying novel cardiac imaging tools to solve clinically challenging cardiology problems. His laboratory collaborates closely with biomedical engineers at the University of Virginia and studies the clinical utility of new cardiac magnetic resonance techniques that can accurately measure myocardial strain, quantify the fatty acid composition of epicardial adipose tissue, and measure myocardial blood flow. In addition to evaluating new image acquisition techniques, he collaborates with computer scientists to develop automated image analysis tools for cardiac imaging. His laboratory utilizes these tools to understand better ischemic heart disease and infiltrative heart disorders such as cardiac sarcoidosis and cardiac amyloidosis, often integrating data acquired using multiple cardiac imaging techniques, including cardiac computed tomography, nuclear imaging, and echocardiography. Dr. Patel currently leads multicenter initiatives.
HIGH IMPACT RESEARCH PUBLICATIONS
- Non-invasive diagnosis of transthyretin cardiac amyloidosis utilizing typical late gadolinium enhancement pattern on cardiac magnetic resonance and light chains.
- Impact of wideband cardiac magnetic resonance on diagnosis, decision-making, and outcomes in patients with implantable cardioverter defibrillators.
- AI-Based CMR Assessment of Biventricular Function: Clinical Significance of Intervendor Variability and Measurement Errors.
- Echocardiography and cardiovascular magnetic resonance-based evaluation of myocardial strain and relationship with late gadolinium enhancement.
- Prognosis of Myocardial Damage in Sarcoidosis Patients With Preserved Left Ventricular Ejection Fraction: Risk Stratification Using Cardiovascular Magnetic Resonance.
- Assessment of advanced coronary artery disease: quantitative cardiac magnetic resonance perfusion analysis advantages.