A comprehensive review of imaging findings in COVID-19 - status in early 2021.

Afshar-Oromieh, Ali; Prosch, Helmut; Schaefer-Prokop, Cornelia; Bohn, Karl Peter; Alberts, Ian; Mingels, Clemens; Thurnher, Majda; Cumming, Paul; Shi, Kuangyu; Peters, Alan; Geleff, Silvana; Lan, Xiaoli; Wang, Feng; Huber, Adrian; Gräni, Christoph; Heverhagen, Johannes T.; Rominger, Axel; Fontanellaz, Matthias; Schöder, Heiko; Christe, Andreas; ... (2021). A comprehensive review of imaging findings in COVID-19 - status in early 2021. European journal of nuclear medicine and molecular imaging, 48(8), pp. 2500-2524. Springer-Verlag 10.1007/s00259-021-05375-3

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Afshar Oromieh, Ali; Bohn, Karl Peter; Alberts, Ian Leigh; Mingels, Clemens; Cumming, Paul; Shi, Kuangyu; Peters, Alan Arthur; Huber, Adrian Thomas; Gräni, Christoph; Heverhagen, Johannes; Rominger, Axel Oliver; Fontanellaz, Matthias Andreas; Christe, Andreas; Mougiakakou, Stavroula and Ebner, Lukas

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

1619-7070

Publisher:

Springer-Verlag

Language:

English

Submitter:

Maria de Fatima Henriques Bernardo

Date Deposited:

11 May 2021 09:09

Last Modified:

01 Jul 2021 01:33

Publisher DOI:

10.1007/s00259-021-05375-3

PubMed ID:

33932183

Additional Information:

Review

Uncontrolled Keywords:

COVID-19 Corona virus Imaging SARS-CoV-2

BORIS DOI:

10.48350/156151

URI:

https://boris.unibe.ch/id/eprint/156151

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