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CT abnormalities evocative of lung infection are associated with lower 18F-FDG uptake in confirmed COVID-19 patients.
Bahloul, Achraf; Boursier, Caroline; Jeulin, Hélène; Imbert, Laëtitia; Mandry, Damien; Karcher, Gilles; Marie, Pierre-Yves; Verger, Antoine.
  • Bahloul A; Lorraine University, Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, F-54000, Nancy, France.
  • Boursier C; Lorraine University, Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, F-54000, Nancy, France.
  • Jeulin H; Lorraine University, Department of Virology, CHRU Nancy, F-54000, Nancy, France.
  • Imbert L; Lorraine University, Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, F-54000, Nancy, France.
  • Mandry D; Lorraine University, IADI, INSERM U1254, F-54000, Nancy, France.
  • Karcher G; Lorraine University, IADI, INSERM U1254, F-54000, Nancy, France.
  • Marie PY; Lorraine University, Department of Radiology, Brabois, CHRU Nancy, F-54000, Nancy, France.
  • Verger A; Lorraine University, Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, F-54000, Nancy, France.
Eur J Nucl Med Mol Imaging ; 48(1): 282-286, 2021 01.
Article in English | MEDLINE | ID: covidwho-1046794
ABSTRACT

PURPOSE:

CT signs that are evocative of lung COVID-19 infections have been extensively described, whereas 18F-FDG-PET signs have not. Our current study aimed to identify specific COVID-19 18F-FDG-PET signs in patients that were (i) suspected to have a lung infection based on 18F-FDG-PET/CT recorded during the COVID-19 outbreak and (ii) whose COVID-19 diagnosis was definitely established or excluded by appropriate viral testing.

METHODS:

Twenty-two consecutive patients referred for routine 18F-FDG-PET/CT examinations during the COVID-19 outbreak (March 25th to May 15th 2020) and for whom CT slices were evocative of a lung infection were included in the study. All patients had undergone a SARS-COV-2 diagnostic test to confirm COVID-19 infection (positivity was based on molecular and/or serological tests) or exclude it (negativity of at least the serological test).

RESULTS:

Eleven patients were confirmed to be affected by COVID-19 (COVID+), whereas the other eleven patients were not (COVID-) and were predominantly suspected of having bacterial pneumonia. CT abnormalities were not significantly different between COVID+ and COVID- groups, although trends toward larger CT abnormalities (p = 0.16) and lower rates of consolidation patterns (0.09) were observed in the COVID+ group. The maximal standardized uptake values (SUVmax) of lung areas with CT abnormalities were however significantly lower in the COVID+ than the COVID- group (3.7 ± 1.9 vs. 6.9 ± 4.1, p = 0.03), with the highest SUVmax consistently not associated with COVID-19.

CONCLUSION:

Among CT abnormalities evocative of lung infection, those related to COVID-19 are associated with a more limited 18F-FDG uptake. This observation may help improve our ability to detect COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiopharmaceuticals / Fluorodeoxyglucose F18 / Positron Emission Tomography Computed Tomography / COVID-19 / Lung Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Eur J Nucl Med Mol Imaging Journal subject: Nuclear Medicine Year: 2021 Document Type: Article Affiliation country: S00259-020-04999-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Radiopharmaceuticals / Fluorodeoxyglucose F18 / Positron Emission Tomography Computed Tomography / COVID-19 / Lung Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Eur J Nucl Med Mol Imaging Journal subject: Nuclear Medicine Year: 2021 Document Type: Article Affiliation country: S00259-020-04999-1