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ArticleEmergency radiology2025

Diagnostic accuracy of chest CT for COVID-19 pneumonia in a resource-limited Gaza cohort: a retrospective study of 252 patients.

Husam H Mansour, Noor Khairiah A Karim, Noor Diyana Osman, Rohayu Hami, Yasser S Alajerami

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Article in Emergency radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Husam H MansourDepartment of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia.
Noor Khairiah A KarimDepartment of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia. drkhairiah@usm.my.ORCID http://orcid.org/0000-0001-8176-3939
Noor Diyana OsmanDepartment of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia.
Rohayu HamiDepartment of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Pulau Pinang, Malaysia.
Yasser S AlajeramiMedical Imaging Department, Faculty of Applied Medical Sciences, Al-Azhar University-Gaza, Gaza City, P.O. Box 1277, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to evaluate the diagnostic accuracy of chest CT for COVID-19 pneumonia in resource-limited Gaza. It compared CT performance to RT-PCR and examined how CT severity scores and interobserver agreement influence diagnostic accuracy, reproducibility, and clinical utility for early detection and triage.

methodsA retrospective analysis was performed on 252 consecutive patients diagnosed with COVID-19 pneumonia between September 2020 and June 2021 at three major governmental hospitals across the Gaza Strip. Chest CT scans were compared to RT-PCR as the gold standard for diagnosis. CT severity scores were calculated using a 25-point system, and interobserver agreement was assessed using kappa statistics. Sensitivity, specificity, and predictive values were calculated for various threshold levels.

resultsAmong the 252 patients included in the study, the mean age was 56.81 ± 11.34 years, with 113 males and 139 females. The diagnostic sensitivity of chest CT was 91.4%, with a specificity of 76.4%. The highest accuracy was observed with a severity score threshold of ≥ 15, with a Youden index of 0.630. Interobserver agreement was excellent (kappa = 0.87) for ground-glass opacities and consolidation. The NPV was 71.2%, indicating the need for supplementary RT-PCR testing in low-prevalence cases.

conclusionChest CT is a reliable diagnostic adjunct for COVID-19 pneumonia, especially in Gaza's severely resource-limited setting, where CT was more accessible than RT-PCR. A CT severity score threshold of ≥ 15 offers an optimal balance of sensitivity and specificity. These findings highlight the practical role of CT imaging in pandemic response in resource-constrained environments.

Indexed as

COVID-19Tomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedMiddle EastReproducibility of ResultsRetrospective StudiesSARS-CoV-2Sensitivity and SpecificitySeverity of Illness IndexChest CTCOVID-19Diagnostic accuracyGaza stripRT-PCRSeverity score

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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.