Evidence map›Paper›PMID 36945983›Full record

Observational studyTurkish journal of medical sciences2022

Evaluation of metabolic changes in FDG PET/CT imaging after mRNA-based COVID-19 vaccination.

Serkan İşgören, Gizem Köroğlu, Gözde Dağlıöz Görür, Hakan Demir

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Turkish journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Serkan İşgörenDepartment of Nuclear Medicine Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
Gizem KöroğluDepartment of Nuclear Medicine Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
Gözde Dağlıöz GörürDepartment of Nuclear Medicine Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
Hakan DemirDepartment of Nuclear Medicine Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
Turkish Society of Hematology · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt isimportant to evaluate the vaccine-related metabolic changes on FDG PET/CT to avoid confusing results. We here aimed to assess the frequency and intensity of regional and systemic metabolic PET/CT changes of patients who received the mRNAbased COVID-19 vaccine (BNT162b2-Pfizer/BioNTech) and to analyze possible factors affecting these changes.

methodsAmong the patients who underwent FDG PET/CT for any indication in our department between July 2021 and December 2021, 129 volunteer patients with a history of COVID-19 vaccination were included in this prospective observational study. Bilateral axillary lymph nodes, ipsilateral deltoid muscle, bone marrow, spleen, thyroid, and liver FDG uptakes were evaluated visually and semiquantitatively for each examination.

resultsThe frequencies of positive axillary lymph nodes after vaccination were 40%, 44.4%, 32.6%, and 44.7% in all, 1st dose, 2nd dose, and heterologous vaccination regimens groups, respectively. Maximum standardized uptake values of spleen, liver, and bone marrow were statistically high in patients with positive axillary lymph nodes than with negative ones (p < 0.05). Positive deltoid muscle uptake and diffusely increased thyroid uptake findings were observed in 10 and 8 patients, respectively. The median time interval between vaccination and imaging was 9.5 days for patients with positive axillary lymph nodes and 17 days for patients with negative nodes. In our study group, only 8 patients had a positive documented history of COVID-19 infection. DISCUSSION: Regional and systemic metabolic changes were occasionally found on FDG PET/CT imaging in patients who received the mRNA-based COVID-19 vaccine. To avoid these timely decreasing changes, we recommend managing the ideal timing of imaging or vaccination and taking a careful history.

Indexed as

COVID-19Positron Emission Tomography Computed TomographyBNT162 VaccineCOVID-19 VaccinesFluorodeoxyglucose F18HumansLymph NodesVaccinationBNT162 VaccineCOVID-19 VaccinesFluorodeoxyglucose F18COVID-19messenger RNApositron emission tomographyvaccines

Identifiers

PMID36945983
PMCPMC10390183
OpenAlexW4312742386

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.