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Annals of Nuclear Medicine

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Open Access 01-11-2021 | COVID-19 Vaccination | Short Communication

Temporal metabolic response to mRNA COVID-19 vaccinations in oncology patients

Authors: Pooja Advani, Saranya Chumsri, Tanmayi Pai, Zhuo Li, Akash Sharma, Ephraim Parent

Published in: Annals of Nuclear Medicine | Issue 11/2021

Abstract

Background

mRNA COVID-19 vaccines are known to provide an immune response seen on FDG PET studies. However, the time course of this metabolic response is unknown. We here present a temporal metabolic response to mRNA COVID-19 vaccination in oncology patients undergoing standard of care FDG PET.

Methods

262 oncology patients undergoing standard of care FDG PET were included in the analysis. 231 patients had at least one dose of mRNA COVID-19 vaccine while 31 patients had not been vaccinated. The SUVmax of the lymph nodes ipsilateral to the vaccination was compared to the contralateral to obtain an absolute change in SUVmax (ΔSUVmax).

Results

ΔSUVmax was more significant at shorter times between FDG PET imaging and COVID-19 mRNA vaccination, with a median ΔSUVmax of 2.6 (0–7 days), 0.8 (8–14 days), and 0.3 (> 14 days), respectively.

Conclusion

Consideration should be given to performing FDG PET at least 2 weeks after the COVID-19 vaccine.

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Title: Temporal metabolic response to mRNA COVID-19 vaccinations in oncology patients
Authors: Pooja Advani
Saranya Chumsri
Tanmayi Pai
Zhuo Li
Akash Sharma
Ephraim Parent
Publication date: 01-11-2021
Publisher: Springer Singapore
Keywords: COVID-19 Vaccination
Vaccination
COVID-19
Positron Emission Tomography
Lymphadenopathy
Published in: Annals of Nuclear Medicine / Issue 11/2021
Print ISSN: 0914-7187
Electronic ISSN: 1864-6433
DOI: https://doi.org/10.1007/s12149-021-01675-8

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Temporal metabolic response to mRNA COVID-19 vaccinations in oncology patients

Abstract

Background

Methods

Results

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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