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Erschienen in: Molecular Imaging and Biology 4/2022

18.01.2022 | COVID-19 | Review Article Zur Zeit gratis

Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19

verfasst von: Dnyanesh N. Tipre, Michal Cidon, Rex A. Moats

Erschienen in: Molecular Imaging and Biology | Ausgabe 4/2022

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Abstract

COVID-19 hypoxemic patients although sharing a same etiology (SARS-CoV-2 infection) present themselves quite differently from one another. Patients also respond differently to prescribed medicine and to prone Vs supine bed positions. A severe pulmonary ventilation-perfusion mismatch usually triggers moderate to severe COVID-19 cases. Imaging can aid the physician in assessing severity of COVID-19. Although useful for their portability X-ray and ultrasound serving on the frontline to evaluate lung parenchymal abnormalities are unable to provide information about pulmonary vasculature and blood flow redistribution which is a consequence of hypoxemia in COVID-19. Advanced imaging modalities such as computed tomography, single-photon emission tomography, and electrical impedance tomography use a sharp algorithm visualizing pulmonary ventilation-perfusion mismatch in the abnormal and in the apparently normal parenchyma. Imaging helps to access the severity of infection, lung performance, ventilation-perfusion mismatch, and informs strategies for medical treatment. This review summarizes the capacity of these imaging modalities to assess ventilation-perfusion mismatch in COVID-19. Despite having limitations, these modalities provide vital information on blood volume distribution, pulmonary embolism, pulmonary vasculature and are useful to assess severity of lung disease and effectiveness of treatment in COVID-19 patients.
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Metadaten
Titel
Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19
verfasst von
Dnyanesh N. Tipre
Michal Cidon
Rex A. Moats
Publikationsdatum
18.01.2022
Verlag
Springer International Publishing
Schlagwort
COVID-19
Erschienen in
Molecular Imaging and Biology / Ausgabe 4/2022
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-021-01700-2

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