Evidence map›Paper›PMID 34104175›Full record

ArticlePakistan journal of medical sciences

Characteristics of chest high resolution computed tomography images of COVID-19: A retrospective study of 46 patients.

Yibo Lu, Jingru Zhou, Yimei Mo, Shulin Song, Xue Wei, Ke Ding

Abstract read
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Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yibo LuYibo Lu, Master of Medicine, Department of Radiology, Fourth People's Hospital of Nanning, Nanning 530031, China.
Jingru ZhouJingru Zhou, Master of Medicine, Department of Radiology, Fourth People's Hospital of Nanning, Nanning 530031, China.
Yimei MoYimei Mo, Bachelor of Medicine, Department of Radiology, Fourth People's Hospital of Nanning, Nanning 530031, China.
Shulin SongShulin Song, Master of Medicine, Department of Radiology, Fourth People's Hospital of Nanning, Nanning 530031, China.
Xue WeiXue Wei, Bachelor of Medicine, Department of Radiology, Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China.
Ke DingKe Ding, Doctor of Medicine, Department of Radiology, Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the characteristics of chest high resolution computed tomography (CT) images of coronavirus disease 2019 (COVID-19).

methodsThis is a retrospective study analyzing the clinical records and chest high-resolution CT images of 46 consecutive patients who were diagnosed with COVID-19 by nucleic acid tests and treated at our hospitals between January 2020 and February 2020.

resultsAbnormalities in the CT images were found in 44 patients (95.6%). The lesions were unilateral in eight patients (17.4%), bilateral in 36 patients (78.3%), single in seven patients (15.9%), and multiple in 37 patients (84.1%). The morphology of the lesions was scattered opacity in 10 patients (21.7%), patchy opacity in 38 patients (82.6%), fibrotic cord in 17 patients (37.0%), and wedge-shaped opacity in two patients (4.3%). The lesions can be classified as ground-glass opacity in eight patients (17.4%), consolidation in one patient (2.2%), and ground-glass opacity plus consolidation in 28 patients (60.9%).

conclusionMost COVID-19 patients showed abnormalities in chest CT images and the most common findings were ground-glass opacity plus consolidation.

Indexed as

COVID-19Severe acute respiratory syndrome coronavirus 2TomographyX-Ray computed

Identifiers

PMID34104175
PMCPMC8155422

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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.