A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis

Background Lung ultrasound (LUS) and computed tomography (CT) can both be used for diagnosis of interstitial pneumonia caused by coronavirus disease 2019 (COVID-19), but the agreement between LUS and CT is unknown. Purpose to compare the agreement of LUS and CT in the diagnosis of interstitial pneum...

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Main Authors: Mengshu Wang, Xufei Luo, Ling Wang, Janne Estill, Meng Lv, Ying Zhu, Qi Wang, Xiaojuan Xiao, Yang Song, Myeong Soo Lee, Hyeong Sik Ahn, Junqiang Lei, Jinhui Tian
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Diagnostics
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Online Access:https://www.mdpi.com/2075-4418/11/8/1351
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author Mengshu Wang
Xufei Luo
Ling Wang
Janne Estill
Meng Lv
Ying Zhu
Qi Wang
Xiaojuan Xiao
Yang Song
Myeong Soo Lee
Hyeong Sik Ahn
Junqiang Lei
Jinhui Tian
author_facet Mengshu Wang
Xufei Luo
Ling Wang
Janne Estill
Meng Lv
Ying Zhu
Qi Wang
Xiaojuan Xiao
Yang Song
Myeong Soo Lee
Hyeong Sik Ahn
Junqiang Lei
Jinhui Tian
author_sort Mengshu Wang
collection DOAJ
description Background Lung ultrasound (LUS) and computed tomography (CT) can both be used for diagnosis of interstitial pneumonia caused by coronavirus disease 2019 (COVID-19), but the agreement between LUS and CT is unknown. Purpose to compare the agreement of LUS and CT in the diagnosis of interstitial pneumonia caused by COVID-19. Materials and Methods We searched PubMed, Cochrane library, Embase, Chinese Biomedicine Literature, and WHO COVID-19 databases to identify studies that compared LUS with CT in the diagnosis of interstitial pneumonia caused by COVID-19. We calculated the pooled overall, positive and negative percent agreements, diagnostic odds ratio (DOR) and the area under the standard receiver operating curve (SROC) for LUS in the diagnosis of COVID-19 compared with CT. Results We identified 1896 records, of which nine studies involving 531 patients were finally included. The pooled overall, positive and negative percentage agreements of LUS for the diagnosis of interstitial pneumonia caused by COVID-19 compared with CT were 81% (95% confidence interval [CI] 43–99%), 96% (95% CI, 80–99%, I<sup>2</sup> = 92.15%) and 80% (95%CI, 60–92%, I<sup>2</sup> = 92.85%), respectively. DOR was 37.41 (95% CI, 9.43–148.49, I<sup>2</sup> = 63.9%), and the area under the SROC curve was 0.94 (95% CI, 0.92–0.96). The quality of evidence for both specificity and sensitivity was low because of heterogeneity and risk of bias. Conclusion The level of diagnostic agreement between LUS and CT in the diagnosis of interstitial pneumonia caused by COVID-19 is high. LUS can be therefore considered as an equally accurate alternative for CT in situations where molecular tests are not available.
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spelling doaj.art-c1279a2029bf4f28bcf2c168c695c6012023-11-22T07:19:16ZengMDPI AGDiagnostics2075-44182021-07-01118135110.3390/diagnostics11081351A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-AnalysisMengshu Wang0Xufei Luo1Ling Wang2Janne Estill3Meng Lv4Ying Zhu5Qi Wang6Xiaojuan Xiao7Yang Song8Myeong Soo Lee9Hyeong Sik Ahn10Junqiang Lei11Jinhui Tian12Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, ChinaSchool of Public Health, Lanzhou University, Lanzhou 730000, ChinaDepartment of Ultrasound, People’s Hospital of Gansu Province, Lanzhou 730000, ChinaInstitute of Global Health, University of Geneva, 1211 Geneva, SwitzerlandDepartment of Nephrology, Children’s Hospital of Chongqing Medical University, Chongqing 400014, ChinaEvidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, ChinaDepartment of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, CanadaDepartment of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, ChinaIberoamerican Cochrane Centre-Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, SpainKorea Institute of Oriental Medicine, Daejeon 34054, KoreaDepartment of Preventive Medicine, Korea University, Seoul 02841, KoreaDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaEvidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, ChinaBackground Lung ultrasound (LUS) and computed tomography (CT) can both be used for diagnosis of interstitial pneumonia caused by coronavirus disease 2019 (COVID-19), but the agreement between LUS and CT is unknown. Purpose to compare the agreement of LUS and CT in the diagnosis of interstitial pneumonia caused by COVID-19. Materials and Methods We searched PubMed, Cochrane library, Embase, Chinese Biomedicine Literature, and WHO COVID-19 databases to identify studies that compared LUS with CT in the diagnosis of interstitial pneumonia caused by COVID-19. We calculated the pooled overall, positive and negative percent agreements, diagnostic odds ratio (DOR) and the area under the standard receiver operating curve (SROC) for LUS in the diagnosis of COVID-19 compared with CT. Results We identified 1896 records, of which nine studies involving 531 patients were finally included. The pooled overall, positive and negative percentage agreements of LUS for the diagnosis of interstitial pneumonia caused by COVID-19 compared with CT were 81% (95% confidence interval [CI] 43–99%), 96% (95% CI, 80–99%, I<sup>2</sup> = 92.15%) and 80% (95%CI, 60–92%, I<sup>2</sup> = 92.85%), respectively. DOR was 37.41 (95% CI, 9.43–148.49, I<sup>2</sup> = 63.9%), and the area under the SROC curve was 0.94 (95% CI, 0.92–0.96). The quality of evidence for both specificity and sensitivity was low because of heterogeneity and risk of bias. Conclusion The level of diagnostic agreement between LUS and CT in the diagnosis of interstitial pneumonia caused by COVID-19 is high. LUS can be therefore considered as an equally accurate alternative for CT in situations where molecular tests are not available.https://www.mdpi.com/2075-4418/11/8/1351COVID-19systematic reviewPOCUSlung ultrasoundcomputed tomography
spellingShingle Mengshu Wang
Xufei Luo
Ling Wang
Janne Estill
Meng Lv
Ying Zhu
Qi Wang
Xiaojuan Xiao
Yang Song
Myeong Soo Lee
Hyeong Sik Ahn
Junqiang Lei
Jinhui Tian
A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
Diagnostics
COVID-19
systematic review
POCUS
lung ultrasound
computed tomography
title A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
title_full A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
title_fullStr A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
title_full_unstemmed A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
title_short A Comparison of Lung Ultrasound and Computed Tomography in the Diagnosis of Patients with COVID-19: A Systematic Review and Meta-Analysis
title_sort comparison of lung ultrasound and computed tomography in the diagnosis of patients with covid 19 a systematic review and meta analysis
topic COVID-19
systematic review
POCUS
lung ultrasound
computed tomography
url https://www.mdpi.com/2075-4418/11/8/1351
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