Evidence map›Paper›PMID 36289028›Full record

Observational studyJournal of medical imaging and radiation sciences2022

Temporal changes of lung computed tomography findings pulmonary COVID-19 infection.

Bita Abbasi, Masoud Pezeshki-Rad, Hourieh Soleimani, Mahnaz Mozdourian, Reza Akhavan, Mona Maftouh

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of medical imaging and radiation 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
–field-weighted citation impact, top 81% 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, 0 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

6 authors at 1 institution in 1 country.

Bita AbbasiDepartment of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Masoud Pezeshki-RadDepartment of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Hourieh SoleimaniDepartment of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: SoleimaniH971@mums.ac.ir.
Mahnaz MozdourianLung Disease Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Reza AkhavanDepartment of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mona MaftouhDepartment of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCOVID-19 infection demonstrates characteristic findings in chest CT. The optimal timing of repeated CT scans still needs to be clarified, and the optimal time to assess imaging clearance in COVID-19 is still unknown. It is crucial to have a roadmap of the imaging course of COVID-19 pneumonia to develop guidelines for prompt diagnosis of pulmonary complications, especially fibrosis, at the earliest stage. PURPOSE: To assess the temporal changes of chest CT findings in patients with COVID-19 pneumonia and evaluate the rate of a complete resolution and determine the patients are at excessive risk for residual parenchymal abnormalities. MATERIALS AND

methodsThis retrospective observational study included 48 patients with real-time polymerase chain reaction-confirmed COVID-19 who were admitted to three academic hospitals. These patients underwent at least one initial chest CT before or after admission and at least one follow-up CT scan four weeks or more after the onset of the symptoms. All chest CTs were categorized according to time of performance into four groups, including the first week, second week, third-fourth week, and more than 28 days. Lung involvement was categorized as predominantly alveolar (ground-glass opacity and consolidation), organizing pneumonia, and reticular patterns. The severity of involvement was also evaluated by the reader.

resultsForty-eight patients and a total of 130 chest CT scans were evaluated. The alveolar pattern showed a gradual decrease in frequency from 91% in the first week to 9% after the fourth week of the disease but the organizing pneumonia pattern gradually increased with disease progression and the frequency of reticular pattern increased significantly after third week. Complete resolution of CT findings was seen in 17 patients (13.1%) and was significantly more prevalent in patients of younger age (p value<0.001) and with lower initial CT severity scores (p value=0.048). CT severity scores in the second week were significantly higher in ICU admitted patients (p value=0.003).

conclusionThere are temporal patterns of lung abnormalities in patients with COVID-19 pneumonia. The predominant CT pattern was alveolar infiltrate in the first and second weeks of the disease, replaced with an organizing pneumonia pattern in the third and fourth weeks. Progression of lung involvement was correlated with ICU admission due to the highest CT severity score in the second and third weeks of presentation but not in the first week in patients who were admitted at ICU. Complete CT resolution was significantly more common in patients of younger age and lower initial CT severity scores.

Indexed as

COVID-19PneumoniaHumansLungSARS-CoV-2Tomography, X-Ray ComputedChestCOVID-19CTpneumoniatemporal changes

Identifiers

PMID36289028
PMCPMC9595414
OpenAlexW4307102949

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.