Evidence map›Paper›PMID 33226521›Full record

ReviewInsights into imaging2020

COVID-19 pneumonia: the great radiological mimicker.

Selin Ardali Duzgun, Gamze Durhan, Figen Basaran Demirkazik, Meltem Gulsun Akpinar, Orhan Macit Ariyurek

Open access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
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  7. Detection of subsolid nodules on chest CT scans during the COVID-19 pandemic.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
    Article
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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.

Selin Ardali DuzgunDepartment of Radiology, School of Medicine, Tıp Fakültesi Hastanesi, Hacettepe University, 06100, Sıhhiye, Ankara, Turkey. selin.ardali@gmail.com.ORCID http://orcid.org/0000-0002-2623-2542
Gamze DurhanDepartment of Radiology, School of Medicine, Tıp Fakültesi Hastanesi, Hacettepe University, 06100, Sıhhiye, Ankara, Turkey.
Figen Basaran DemirkazikDepartment of Radiology, School of Medicine, Tıp Fakültesi Hastanesi, Hacettepe University, 06100, Sıhhiye, Ankara, Turkey.
Meltem Gulsun AkpinarDepartment of Radiology, School of Medicine, Tıp Fakültesi Hastanesi, Hacettepe University, 06100, Sıhhiye, Ankara, Turkey.
Orhan Macit AriyurekDepartment of Radiology, School of Medicine, Tıp Fakültesi Hastanesi, Hacettepe University, 06100, Sıhhiye, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread worldwide since December 2019. Although the reference diagnostic test is a real-time reverse transcription-polymerase chain reaction (RT-PCR), chest-computed tomography (CT) has been frequently used in diagnosis because of the low sensitivity rates of RT-PCR. CT findings of COVID-19 are well described in the literature and include predominantly peripheral, bilateral ground-glass opacities (GGOs), combination of GGOs with consolidations, and/or septal thickening creating a "crazy-paving" pattern. Longitudinal changes of typical CT findings and less reported findings (air bronchograms, CT halo sign, and reverse halo sign) may mimic a wide range of lung pathologies radiologically. Moreover, accompanying and underlying lung abnormalities may interfere with the CT findings of COVID-19 pneumonia. The diseases that COVID-19 pneumonia may mimic can be broadly classified as infectious or non-infectious diseases (pulmonary edema, hemorrhage, neoplasms, organizing pneumonia, pulmonary alveolar proteinosis, sarcoidosis, pulmonary infarction, interstitial lung diseases, and aspiration pneumonia). We summarize the imaging findings of COVID-19 and the aforementioned lung pathologies that COVID-19 pneumonia may mimic. We also discuss the features that may aid in the differential diagnosis, as the disease continues to spread and will be one of our main differential diagnoses some time more.

Indexed as

Chest CTCOVID-19Differential diagnosesMimickerPneumonia

Identifiers

PMID33226521
PMCPMC7681181
OpenAlexW3108959379

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.