Evidence map›Paper›PMID 35763163›Full record

ArticleAnnals of nuclear medicine2022

Unusual perfusion patterns on perfusion-only SPECT/CT scans in COVID-19 patients.

Bence Farkas, Zita Képes, Sándor Kristóf Barna, Viktória Szugyiczki, Magdolna Bakos, Attila Forgács, Ildikó Garai

Open access · hybridAbstract read
In one paragraph

Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. SPECT/CT Scan Images to Evaluate COVID-19 Pulmonary Complications: A Systematic Review.International journal of environmental research and public health · 2025
    Pooled it
  2. Article
  3. Article
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

7 authors at 2 institutions in 1 country.

Bence FarkasScanomed Ltd. Nuclear Medicine Center Debrecen, Nagyerdei Boulevard Number 98, 4032, Debrecen, Hungary. farkas.bence@med.unideb.hu.ORCID http://orcid.org/0000-0002-6328-0279
Zita KépesDepartment of Medical Imaging, Division of Nuclear Medicine and Translational Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei Boulevard Number 98, 4032, Debrecen, Hungary.
Sándor Kristóf BarnaScanomed Ltd. Nuclear Medicine Center Debrecen, Nagyerdei Boulevard Number 98, 4032, Debrecen, Hungary.
Viktória SzugyiczkiDepartment of Nuclear Medicine, Békés County Pándy Kálmán Hospital, Semmelweis Street Number 1, 5700, Gyula, Hungary.
Magdolna BakosDepartment of Nuclear Medicine, Békés County Pándy Kálmán Hospital, Semmelweis Street Number 1, 5700, Gyula, Hungary.
Attila ForgácsScanomed Ltd. Nuclear Medicine Center Debrecen, Nagyerdei Boulevard Number 98, 4032, Debrecen, Hungary.
Ildikó GaraiScanomed Ltd. Nuclear Medicine Center Debrecen, Nagyerdei Boulevard Number 98, 4032, Debrecen, Hungary.
University of Debrecen · HUBékés Megyei Központi Kórház · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed at examining both the incidence and extent of different lung perfusion abnormalities as well as the relationship between them on Tc-99m macroaggregated albumin (MAA) perfusion-only SPECT/CT scans in COVID-19 patients.

methodsNinety-one patients (71.4 ± 13.9 years; range: 29-98 years, median age: 74 years; 45 female and 46 male) with confirmed SARS-CoV-2 virus infection were included in this retrospective study. After performing perfusion-only Tc-99m MAA SPECT/CT scans, visual, semi-quantitative assessment of the subsequent perfusion abnormalities was carried out: mismatch lesions (MM; activity defects on SPECT images identical to apparently healthy parenchyma on CT images), matched lesions (MA; activity defects with corresponding parenchymal lesions on CT scans), and reverse mismatch lesions (RM; parenchymal lesions with preserved or increased tracer uptake). Lesion-based and patient-based analysis were performed to evaluate the extent, severity, and incidence of each perfusion abnormality. Statistical tests were applied to investigate the association between the experienced perfusion impairments.

resultsModerately severe parenchymal lesions were detected in 87 (95.6%) patients. Although, 50 (54.95%) patients were depicted to have MM lesions, the whole patient cohort was mildly affected by this abnormality. MA lesions of average moderate severity were seen in most of the patients (89.01%). In 65 (71.43%) patients RM lesions were found with mild severity on average. Positive association was detected between total CT score and total RM score and between total CT score and total MA score. Significantly higher total CT scores were experienced in the subgroup, where RM lesions were present.

conclusionsHeterogeneous perfusion abnormalities were found in most of COVID-19 patients: parenchymal lesions with normal, decreased or increased perfusion and perfusion defects in healthy lung areas. These phenomena may be explained by the failure of the hypoxic pulmonary vasoconstriction mechanism and presence of pulmonary thrombosis and embolism.

Indexed as

COVID-19AgedFemaleHumansLungMalePerfusionRetrospective StudiesSARS-CoV-2Tomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedCOVID-19Lung perfusion abnormalitiesPerfusion-only SPECT/CT

Identifiers

PMID35763163
PMCPMC9244068
OpenAlexW4283647186

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Registered trials

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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.