Evidence map›Paper›PMID 34415201›Full record

ArticleThe British journal of radiology2021

Lung perfusion changes in COVID-19 pneumonia: a dual energy computerized tomography study.

Sonay Aydin, Mecit Kantarci, Erdal Karavas, Edhem Unver, Seven Yalcin, Fahri Aydin

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. New imaging techniques and trends in radiology.Diagnostic and interventional radiology (Ankara, Turkey) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Long-term lung perfusion changes related to COVID-19: a dual energy computed tomography studyDiagnostic and interventional radiology (Ankara, Turkey) · 2023
    Article
  9. Article
  10. Article
  11. Lung aeration, ventilation, and perfusion imaging.Current opinion in critical care · 2022
    Review
  12. Article
  13. Review
  14. Review
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

6 authors at 2 institutions in 1 country.

Sonay AydinDepartment of Radiology, Erzincan University, Erzincan, Turkey.ORCID https://orcid.org/0000-0002-3812-6333
Mecit KantarciDepartment of Radiology, Erzincan University, Erzincan, Turkey.
Erdal KaravasDepartment of Radiology, Erzincan University, Erzincan, Turkey.
Edhem UnverDepartment of Chest Disease, Erzincan University, Erzincan, Turkey.
Seven YalcinDepartment of Chest Disease, Erzincan University, Erzincan, Turkey.
Fahri AydinDepartment of Radiology, Atatürk University, Erzurum, Turkey.
Erzincan Binali Yıldırım University · TRAtatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is limited and contradictory information about pulmonary perfusion changes detected with dual energy computed tomography (DECT) in COVID-19 cases. The purpose of this study was to define lung perfusion changes in COVID-19 cases with DECT, as well as to reveal any possible links between perfusion changes and laboratory findings.

methodsPatients who had a positive RT-PCR for SARS-CoV-2 and a contrast-enhanced chest DECT examination were included in the study. The pattern and severity of perfusion deficits were evaluated, as well as the relationships between perfusion deficit severity and laboratory results and CT severity ratings. The paired t-test, Wilcoxon test, and Student's t-test were used to examine the changes in variables and perfusion deficits.

resultsStudy population consisted of 40 patients. Mean age was 60.73 ± 14.73 years. All of the patients had perfusion deficits at DECT images. Mean perfusion deficit severity score of the population was 8.45 ± 4.66 (min.-max, 1-19). In 24 patients (60%), perfusion deficits and parenchymal lesions matched completely. In 15 patients (37.5%), there was partial match. D dimer, CRP levels, CT severity score, and perfusion deficit severity score all had a positive correlation.

conclusionsPerfusion deficits are seen not only in opacification areas but also in parenchyma of normal appearance. The CT severity score, CRP, D-dimer, and SpO2 levels of the patients were determined to be related with perfusion deficit severity. ADVANCES IN KNOWLEDGE: Findings of the current study may confirm the presence of micro-thrombosis in COVID-19 pneumonia.

Indexed as

AdultAgedAged, 80 and overCOVID-19FemaleHumansLungMaleMiddle AgedRadiography, Dual-Energy Scanned ProjectionRetrospective StudiesSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedYoung Adult

Identifiers

PMID34415201
PMCPMC9327758
OpenAlexW3193709394

What OpenQuestion holds

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LicenceCC BY
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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.