(2022) CT findings of COVID-19-associated pulmonary aspergillosis: a systematic review and individual patient data analysis. Clin Imaging. pp. 11-18. ISSN 0899-7071 (Print) 0899-7071
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Abstract
PURPOSE: Common CT abnormalities of pulmonary aspergillosis represent a cavity with air-meniscus sign, nodule, mass, and consolidation having an angio-invasive pattern. This study aims to conduct a systematic review and an individual patient-level image analysis of CT findings of COVID-19-associated pulmonary aspergillosis (CAPA). METHODS: A systematic literature search was conducted to identify studies reporting CT findings of CAPA as of January 7, 2021. We summarized study-level clinical and CT findings of CAPA and collected individual patient CT images by inviting corresponding authors. The CT findings were categorized into four groups: group 1, typical appearance of COVID-19; group 2, indeterminate appearance of COVID-19; group 3, atypical for COVID-19 without cavities; and group 4, atypical for COVID-19 with cavities. In group 2, cases had only minor discrepant findings including solid nodules, isolated airspace consolidation with negligible ground-glass opacities, centrilobular micronodules, bronchial abnormalities, and cavities. RESULTS: The literature search identified 89 patients from 25 studies, and we collected CT images from 35 CAPA patients (mean age 62.4 ± 14.6 years; 21 men): group 1, thirteen patients (37.1); group 2, eight patients (22.9); group 3, six patients (17.1); and group 4, eight patients (22.9). Eight of the 14 patients (57.1) with an atypical appearance had bronchial abnormalities, whereas only one (7.1) had an angio-invasive fungal pattern. In the study-level analysis, cavities were reported in 12 of 54 patients (22.2). CONCLUSION: CAPA can frequently manifest as COVID-19 pneumonia without common CT abnormalities of pulmonary aspergillosis. If abnormalities exist on CT images, CAPA may frequently accompany bronchial abnormalities.
Item Type: | Article |
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Keywords: | Aspergillosis Covid-19 Coronavirus 2019 Tomography X-ray computed grant from funding agencies in the public, commercial, or not-for-profit sectors. Soon Ho Yoon works in the MEDICALIP as a chief medical officer. Philipp Koehler is supported by the German Federal Ministry of Research and Education and the State of North Rhine-Westphalia, Germany and has received non-financial scientific grants from Miltenyi Biotec GmbH, Bergisch Gladbach, Germany, and the Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany, and received lecture honoraria from and/or is advisor to Akademie für Infektionsmedizin e.V., Ambu GmbH, Astellas Pharma, European Confederation of Medical Mycology, Gilead Sciences, GPR Academy Ruesselsheim, MSD Sharp & Dohme GmbH, Noxxon N.V., and University Hospital, LMU Munich outside the submitted work. Other authors have no conflicts of interest to declare for this article. |
Page Range: | pp. 11-18 |
Journal or Publication Title: | Clin Imaging |
Journal Index: | Pubmed |
Volume: | 90 |
Identification Number: | https://doi.org/10.1016/j.clinimag.2022.07.003 |
ISSN: | 0899-7071 (Print) 0899-7071 |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/16798 |
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