Evidence map›Paper›PMID 32558645›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2020

CT imaging features of COVID-19 pneumonia: initial experience from Turkey.

Akın Çinkooğlu, Cenk Hepdurgun, Selen Bayraktaroğlu, Naim Ceylan, Recep Savaş

Open access · bronzeAbstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  7. Usefulness of laboratory parameters and chest CT in the early diagnosis of COVID-19.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022
    Article
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  12. Evaluation of lung volume loss with 3D CT volumetry in COVID-19 patients.Diagnostic and interventional radiology (Ankara, Turkey) · 2021
    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

5 authors at 1 institution in 1 country.

Akın ÇinkooğluDepartment of Radiology, Ege University Faculty of Medicine, Izmir, Turkey.
Cenk HepdurgunDepartment of Radiology, Ege University Faculty of Medicine, Izmir, Turkey.
Selen BayraktaroğluDepartment of Radiology, Ege University Faculty of Medicine, Izmir, Turkey.
Naim CeylanDepartment of Radiology, Ege University Faculty of Medicine, Izmir, Turkey.
Recep SavaşDepartment of Radiology, Ege University Faculty of Medicine, Izmir, Turkey.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to demonstrate the computed tomography (CT) findings observed at the initial presentation of coronavirus disease 2019 (COVID-19) pneumonia and reveal the most frequent infiltration and distribution patterns of the disease.

methodsOne hundred and eighty-five patients (87 men, 98 women; mean age, 48.7 years), who underwent RT-PCR sampling and high-resolution CT examination in our hospital between March 15, 2020, and April 15, 2020, and got a definitive diagnosis of COVID-19 disease via initial or follow-up RT-PCR test, were included in the study. We comprehensively analyzed the most common and relatively rare CT imaging features (e.g., distribution pattern, density of the lesions, additional CT signs) in patients diagnosed with COVID-19 pneumonia.

resultsThirty-eight patients (20.6%) had no evidence of pneumonia on their initial high-resolution CT images. Among 147 patients (79.4%) who had parenchymal infiltration consistent with pneumonia, 10 (6.8%) had a negative baseline RT-PCR test, and positivity was detected as a result of repeated tests. Most of the patients had multifocal (89.1%) and bilateral (86.4%) lesions. The most common location, right lower lobe, was affected in 87.8% of the patients. Lesions were distributed predominantly at peripheral (87.1%) and posterior (46.3%) areas of lung parenchyma. Most of the patients had pure ground glass opacity (GGO) (82.3%) followed by GGO with consolidation (32.7%) and crazy paving pattern (21.8%). Pure consolidation, solid nodules, halo sign, reverse halo sign, vascular enlargement, subpleural line, air-bronchogram, and bronchiectasis were the other findings observed in at least 15% of the cases. Halo sign, acinar nodules, air-bubble sign, pleural thickening and effusion, mediastinal and/or hilar lymphadenopathy were seen rarely (2%-12.9%). Pericardial effusion, pneumothorax, cavitation, and tree-in-bud pattern were not detected in our study group.

conclusionMultifocal and bilateral GGO infiltration predominantly distributed in peripheral, posterior, and lower lung areas was the most common infiltration pattern.

Indexed as

AdultAgedBetacoronavirusBronchiectasisCoronavirus InfectionsCOVID-19Disease ProgressionFemaleHumansLungLymphadenopathyMaleMediastinumMiddle AgedPandemicsPericardial Effusion

Identifiers

PMID32558645
PMCPMC7360080
OpenAlexW3036982253

What OpenQuestion holds

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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.