A comprehensive review of imaging findings in COVID-19 - Status in early 2021 Review

Authors: Afshar-Oromieh, A.; Prosch, H.; Schaefer-Prokop, C.; Bohn, K. P.; Alberts, I.; Mingels, C.; Thurnher, M.; Cumming, P.; Shi, K.; Peters, A.; Geleff, S.; Lan, X.; Wang, F.; Huber, A.; Gräni, C.; Heverhagen, J. T.; Rominger, A.; Fontanellaz, M.; Schöder, H.; Christe, A.; Mougiakakou, S.; Ebner, L.
Review Title: A comprehensive review of imaging findings in COVID-19 - Status in early 2021
Abstract: Medical imaging methods are assuming a greater role in the workup of patients with COVID-19, mainly in relation to the primary manifestation of pulmonary disease and the tissue distribution of the angiotensin-converting-enzyme 2 (ACE 2) receptor. However, the field is so new that no consensus view has emerged guiding clinical decisions to employ imaging procedures such as radiography, computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging, and in what measure the risk of exposure of staff to possible infection could be justified by the knowledge gained. The insensitivity of current RT-PCR methods for positive diagnosis is part of the rationale for resorting to imaging procedures. While CT is more sensitive than genetic testing in hospitalized patients, positive findings of ground glass opacities depend on the disease stage. There is sparse reporting on PET/CT with [18F]-FDG in COVID-19, but available results are congruent with the earlier literature on viral pneumonias. There is a high incidence of cerebral findings in COVID-19, and likewise evidence of gastrointestinal involvement. Artificial intelligence, notably machine learning is emerging as an effective method for diagnostic image analysis, with performance in the discriminative diagnosis of diagnosis of COVID-19 pneumonia comparable to that of human practitioners. © 2021, The Author(s).
Keywords: imaging; covid-19; sars-cov-2; corona virus
Journal Title: European Journal of Nuclear Medicine and Molecular Imaging
Volume: 48
Issue: 8
ISSN: 1619-7070
Publisher: Springer  
Date Published: 2021-07-01
Start Page: 2500
End Page: 2524
Language: English
DOI: 10.1007/s00259-021-05375-3
PUBMED: 33932183
PROVIDER: scopus
PMCID: PMC8087891
Notes: Review -- Export Date: 2 August 2021 -- Source: Scopus
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MSK Authors
  1. Heiko Schoder
    445 Schoder