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

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 h...

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Publicado en:European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 8; pp. 2500 - 2525
Autores principales: 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
Formato: Journal Article
Publicado: Springer Nature Jul2021
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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          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
        affil: Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
      sug:
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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