Cardiac Magnetic Resonance in Pulmonary Hypertension—an Update

Alabed, Samer, Garg, Pankaj, Johns, Christopher S., Alandejani, Faisal, Shahin, Yousef, Dwivedi, Krit, Zafar, Hamza, Wild, James M, Kiely, David G and Swift, Andrew J (2020) Cardiac Magnetic Resonance in Pulmonary Hypertension—an Update. Current Cardiovascular Imaging Reports, 13 (12). ISSN 1941-9066

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Abstract

Purpose of Review This article reviews advances over the past 3 years in cardiac magnetic resonance (CMR) imaging in pulmonary hypertension (PH). We aim to bring the reader up-to-date with CMR applications in diagnosis, prognosis, 4D flow, strain analysis, T1 mapping, machine learning and ongoing research. Recent Findings CMR volumetric and functional metrics are now established as valuable prognostic markers in PH. This imaging modality is increasingly used to assess treatment response and improves risk stratification when incorporated into PH risk scores. Emerging techniques such as myocardial T1 mapping may play a role in the follow-up of selected patients. Myocardial strain may be used as an early marker for right and left ventricular dysfunction and a predictor for mortality. Machine learning has offered a glimpse into future possibilities. Ongoing research of new PH therapies is increasingly using CMR as a clinical endpoint. Summary The last 3 years have seen several large studies establishing CMR as a valuable diagnostic and prognostic tool in patients with PH, with CMR increasingly considered as an endpoint in clinical trials of PH therapies. Machine learning approaches to improve automation and accuracy of CMR metrics and identify imaging features of PH is an area of active research interest with promising clinical utility.

Item Type: Article
Uncontrolled Keywords: cmr,cardiac mri,pulmonary hypertension,histology,applied microbiology and biotechnology,cell biology ,/dk/atira/pure/subjectarea/asjc/2700/2722
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
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Depositing User: LivePure Connector
Date Deposited: 17 Nov 2021 04:51
Last Modified: 24 Nov 2021 03:13
URI: https://ueaeprints.uea.ac.uk/id/eprint/82131
DOI: 10.1007/s12410-020-09550-2

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