Author + information
- Received October 9, 2018
- Revision received February 13, 2019
- Accepted February 14, 2019
- Published online January 6, 2020.
- Mohammed A. Chamsi-Pasha, MD,
- Yang Zhan, MD,
- Dany Debs, MD and
- Dipan J. Shah, MD∗ ()
- Cardiovascular Imaging Institute, Department of Cardiology, Houston Methodist Hospital, Houston, Texas
- ↵∗Address for correspondence:
Dr. Dipan J. Shah, Cardiovascular Imaging Institute, Houston Methodist Hospital, 6550 Fannin Street, Smith Tower. Suite 677, Houston, Texas 77030.
• CMR imaging is a promising tool for detecting myocardial disease and assessing structural changes related to HFpEF.
• Diastolic function parameters derived by CMR are feasible, and gaining increasing awareness.
• CMR can add value to the diagnostic work-up of HFpEF unmasking alternative pathologies.
• Faster image acquisition and data processing are needed to gain widespread adoption.
Heart failure with preserved ejection fraction presents a challenging diagnosis given a heterogeneous patient population and limited therapeutic options. Diastolic function assessment using echocardiography has been a cornerstone in the work-up and is as important as systolic functional assessment. There has been increased awareness to the potential utility of cardiac magnetic resonance (CMR) imaging over the past decade as a promising, radiation-free, robust imaging modality providing an unrestricted field of view and high-resolution images for global and regional functional assessment. CMR provides early markers for detecting myocardial disease using tissue characterization imaging, which might prove useful to improve diagnosis and management. Over the years, several studies have examined CMR-derived diastolic functional indices, including transmitral and pulmonary venous velocities, left ventricular and left atrial strain using myocardial tagging, and, more recently, feature tracking. The relevance of imaging-based diastolic function indices and their clinical application across different modalities is increasingly recognized.
- cardiac magnetic resonance
- extracellular volume map
- feature-tracking CMR imaging
- phase-contrast imaging
- T1 mapping
Dr. Shah has received salary support from the National Science Foundation grant (CNS-1646566) and the National Institutes of Health (1R01HL137763-01). All other have reported that they have no relationships relevant to the contents of this paper to disclose.
- Received October 9, 2018.
- Revision received February 13, 2019.
- Accepted February 14, 2019.
- 2020 American College of Cardiology Foundation
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