A comprehensive review of imaging findings in COVID-19 - status in early 2021
Publication year
2021Source
European Journal of Nuclear Medicine and Molecular Imaging, 48, 8, (2021), pp. 2500-2524ISSN
Publication type
Article / Letter to editor
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Organization
Medical Imaging
Journal title
European Journal of Nuclear Medicine and Molecular Imaging
Volume
vol. 48
Issue
iss. 8
Page start
p. 2500
Page end
p. 2524
Subject
Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health SciencesAbstract
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 [(18)F]-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.
This item appears in the following Collection(s)
- Academic publications [238430]
- Electronic publications [122512]
- Faculty of Medical Sciences [90359]
- Open Access publications [97507]
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