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أعرض في EDS

COVID-19 Pandemic and Upcoming Influenza Season-Does an Expert's Computed Tomography Assessment Differentially Identify COVID-19, Influenza and Pneumonias of Other Origin?

التفاصيل البيبلوغرافية
العنوان: COVID-19 Pandemic and Upcoming Influenza Season-Does an Expert's Computed Tomography Assessment Differentially Identify COVID-19, Influenza and Pneumonias of Other Origin?
المؤلفون: Rueckel J; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Fink N; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.; Comprehensive Pneumology Center (CPC-M), German Center for Lung Research (DZL), 81377 Munich, Germany., Kaestle S; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Stüber T; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.; Chair of Statistical Learning & Data Science, Department of Statistics, LMU Munich, 80539 Munich, Germany., Schwarze V; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Gresser E; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Hoppe BF; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Rudolph J; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Kunz WG; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Ricke J; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany., Sabel BO; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
المصدر: Journal of clinical medicine [J Clin Med] 2020 Dec 28; Vol. 10 (1). Date of Electronic Publication: 2020 Dec 28.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101606588 Publication Model: Electronic Cited Medium: Print ISSN: 2077-0383 (Print) Linking ISSN: 20770383 NLM ISO Abbreviation: J Clin Med Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI AG, [2012]-
مستخلص: (1) Background: Time-consuming SARS-CoV-2 RT-PCR suffers from limited sensitivity in early infection stages whereas fast available chest CT can already raise COVID-19 suspicion. Nevertheless, radiologists' performance to differentiate COVID-19, especially from influenza pneumonia, is not sufficiently characterized. (2) Methods: A total of 201 pneumonia CTs were identified and divided into subgroups based on RT-PCR: 78 COVID-19 CTs, 65 influenza CTs and 62 Non-COVID-19-Non-influenza (NCNI) CTs. Three radiology experts (blinded from RT-PCR results) raised pathogen-specific suspicion (separately for COVID-19, influenza, bacterial pneumonia and fungal pneumonia) according to the following reading scores: 0-not typical/1-possible/2-highly suspected. Diagnostic performances were calculated with RT-PCR as a reference standard. Dependencies of radiologists' pathogen suspicion scores were characterized by Pearson's Chi 2 Test for Independence . (3) Results: Depending on whether the intermediate reading score 1 was considered as positive or negative, radiologists correctly classified 83-85% (vs. NCNI)/79-82% (vs. influenza) of COVID-19 cases (sensitivity up to 94%). Contrarily, radiologists correctly classified only 52-56% (vs. NCNI)/50-60% (vs. COVID-19) of influenza cases. The COVID-19 scoring was more specific than the influenza scoring compared with suspected bacterial or fungal infection. (4) Conclusions: High-accuracy COVID-19 detection by CT might expedite patient management even during the upcoming influenza season.
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فهرسة مساهمة: Keywords: COVID-19; Sars-CoV-2; computed tomography; influenza; pneumonia; radiology
تواريخ الأحداث: Date Created: 20201231 Latest Revision: 20240330
رمز التحديث: 20240330
مُعرف محوري في PubMed: PMC7795488
DOI: 10.3390/jcm10010084
PMID: 33379386
قاعدة البيانات: MEDLINE
الوصف
تدمد:2077-0383
DOI:10.3390/jcm10010084