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Editorial
. 2022 Sep;49(11):3599-3606.
doi: 10.1007/s00259-022-05913-7.

2-[18F]-FDG PET for imaging brain involvement in patients with long COVID: perspective of the EANM Neuroimaging Committee

Antoine Verger  1   2 , Henryk Barthel  3 , Nelleke Tolboom  4 , Francesco Fraioli  5 , Diego Cecchin  6 , Nathalie L Albert  7 , Bart van Berckel  8 , Ronald Boellaard  8   9 , Matthias Brendel  7   10 , Ozgul Ekmekcioglu  11 , Franck Semah  12 , Tatjana Traub-Weidinger  13 , Donatienne van de Weehaeghe  14 , Silvia Morbelli  15   16 , Eric Guedj  17
Affiliations
Editorial

2-[18F]-FDG PET for imaging brain involvement in patients with long COVID: perspective of the EANM Neuroimaging Committee

Antoine Verger et al. Eur J Nucl Med Mol Imaging. 2022 Sep.
No abstract available

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Conflict of interest statement

  1. AV has received speaker honoraria from GE Healthcare and Philips.

  2. HB has received reader honoraria from LMI and speaker honoraria from AAA/Novartis.

  3. FF has received speaker honoraria and receives research funding from Siemens Healthineers.

  4. SM has received speaker honoraria from GE Healthcare, Roche, and LMI and is an advisor of LMI.

  5. EG has received consultant and speaker honoraria from GE Healthcare and CIS Bio International; and consultant honoraria from Advanced Accelerator Applications

  6. The other authors declare that they have no conflict of interest

Figures

Fig. 1
Fig. 1
Hypometabolic pattern in a patient with long COVID-19 presenting normal MRI (A) and normal brain FDG PET scans of an age-matched control subject (B). The hypometabolic long COVID pattern involves the fronto-orbital and olfactory regions and other limbic/paralimbic regions as visualized in coronal slices, and the brainstem and the cerebellum as visualized in sagittal slices (white arrows in A)
Fig. 2
Fig. 2
Axial slices of a brain FDG PET scan of a patient with a hypometabolic long COVID pattern (A) and in a patient with a normal brain scan (B). A discontinuous colour scale (left column) is better suited than a continuous scale (right column) to indicate hypometabolism in the pons (white arrow)
See this image and copyright information in PMC

References

    1. Guedj E, Verger A, Cammilleri S. PET imaging of COVID-19: the target and the number. Eur J Nucl Med Mol Imaging. 2020;47:1636–1637. doi: 10.1007/s00259-020-04820-z. - DOI - PMC - PubMed
    1. Morbelli S, Ekmekcioglu O, Barthel H, Albert NL, Boellaard R, Cecchin D, et al. COVID-19 and the brain: impact on nuclear medicine in neurology. Eur J Nucl Med Mol Imaging. 2020;47:2487–2492. doi: 10.1007/s00259-020-04965-x. - DOI - PMC - PubMed
    1. Greenhalgh T, Knight M, A’Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. 2020;370:m3026. doi: 10.1136/bmj.m3026. - DOI - PubMed
    1. Chen C, Haupert SR, Zimmermann L, Shi X, Fritsche LG, Mukherjee B. Global prevalence of post COVID-19 condition or long COVID: a meta-analysis and systematic review. J Infect Dis. 2022;jiac136. - PMC - PubMed
    1. Saleki K, Banazadeh M, Saghazadeh A, Rezaei N. The involvement of the central nervous system in patients with COVID-19. Rev Neurosci. 2020;31:453–456. doi: 10.1515/revneuro-2020-0026. - DOI - PubMed

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