Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance
- PMID: 36973744
- PMCID: PMC10041524
- DOI: 10.1186/s12968-023-00933-0
Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance
Abstract
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has affected nearly 600 million people to date across the world. While COVID-19 is primarily a respiratory illness, cardiac injury is also known to occur. Cardiovascular magnetic resonance (CMR) imaging is uniquely capable of characterizing myocardial tissue properties in-vivo, enabling insights into the pattern and degree of cardiac injury. The reported prevalence of myocardial involvement identified by CMR in the context of COVID-19 infection among previously hospitalized patients ranges from 26 to 60%. Variations in the reported prevalence of myocardial involvement may result from differing patient populations (e.g. differences in severity of illness) and the varying intervals between acute infection and CMR evaluation. Standardized methodologies in image acquisition, analysis, interpretation, and reporting of CMR abnormalities across would likely improve concordance between studies. This consensus document by the Society for Cardiovascular Magnetic Resonance (SCMR) provides recommendations on CMR imaging and reporting metrics towards the goal of improved standardization and uniform data acquisition and analytic approaches when performing CMR in patients with COVID-19 infection.
Keywords: COVID-19; Cardiac complications; Cardiovascular magnetic resonance; Diagnostic criteria; Microinfarctions; Multisystem inflammatory syndrome; Myocardial infarction; Myocarditis; SARS-CoV-2; Thrombotic complications.
© 2023. The Author(s).
Conflict of interest statement
VMF: VMF acknowledges support from the British Heart Foundation (BHF, CH/16/1/32013), the Oxford BHF Centre of Research Excellence, the National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust. VMF has authorship rights for patent WO/2021/044153 “Method and apparatus for enhancing medical images”, WO/2020/161481 “Method and Apparatus for quality prediction” and WO/2020/234570 “A method for identity validation and quality assurance of quantitative magnetic resonance imaging protocols.” TW: TW declares he has no competing interest to declare. QT: QT declares that she has no competing interests. ZRE: ZR-E acknowledges the National Institute for Health Research (NIHR) Integrated Academic Training program which supports her Academic Clinical Lectureship post and was also supported by British Heart Foundation Clinical Research Training Fellowship No. FS/17/81/33318. SJ: SJ acknowledges support from the U.S. Food and Drug Administration, COVID-19 Vaccine-associated Myocarditis (FDA-21F19004-T0006, FDA-75F40122C00148). YH: YH acknowledges funding from NIH R01 HL148103. VO: VO declares that she has no competing interests. DAB: DAB declares no competing interests. KH: KH acknowledges honoraria from Sanofi Genzyme, Amicus and Medscape. JW:JW acknowledges funding from NIH R01 HL159055. SP: SP is funded by a British Heart Foundation Personal Chair (CH/16/2/32089). NN: NN declares he has no competing interest to declare. NN acknowledges support from the South African Medical Research Council, National Research Foundation and the Lily and Ernst Hausmann Trust. JK: JK acknowledges funding from NIH R01 HL159055, NIH K23 HL140092.
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