Literature DB >> 34207266

Imaging Cardiovascular Inflammation in the COVID-19 Era.

Andras Mester1, Imre Benedek1, Nora Rat1, Cosmin Tolescu2, Stefania Alexandra Polexa2, Theodora Benedek1.   

Abstract

Cardiac complications are among the most frequent extrapulmonary manifestations of COVID-19 and are associated with high mortality rates. Moreover, positive SARS-CoV-2 patients with underlying cardiovascular disease are more likely to require intensive care and are at higher risk of death. The underlying mechanism for myocardial injury is multifaceted, in which the severe inflammatory response causes myocardial inflammation, coronary plaque destabilization, acute thrombotic events, and ischemia. Cardiac magnetic resonance (CMR) imaging is the non-invasive method of choice for identifying myocardial injury, and it is able to differentiate between underlying causes in various and often challenging clinical scenarios. Multimodal imaging protocols that incorporate CMR and computed tomography provide a complex evaluation for both respiratory and cardiovascular complications of SARS-CoV2 infection. This, in relation to biological evaluation of systemic inflammation, can guide appropriate therapeutic management in every stage of the disease. The use of artificial intelligence can further improve the diagnostic accuracy of these imaging techniques, thus enabling risk stratification and evaluation of prognosis. The present manuscript aims to review the current knowledge on the possible modalities for imaging COVID-related myocardial inflammation or post-COVID coronary inflammation and atherosclerosis.

Entities:  

Keywords:  COVID-19; artificial intelligence; cardiac magnetic resonance; inflammation; multimodal imaging; myocardial injury

Year:  2021        PMID: 34207266     DOI: 10.3390/diagnostics11061114

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  2 in total

1.  Bioinformatics approach to identify the influences of SARS-COV2 infections on atherosclerosis.

Authors:  Jiuchang Zhang; Liming Zhang
Journal:  Front Cardiovasc Med       Date:  2022-08-18

Review 2.  Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19.

Authors:  Miroslav Pohanka
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

  2 in total

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