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Pulmonary Cystic Lesions in Patients with COVID-19 Infection: A Case Series
Journal of Clinical and Diagnostic Research ; 16(6):TR01-TR04, 2022.
Article in English | EMBASE | ID: covidwho-1928866
ABSTRACT
Computed Tomography has played a vital role in Coronavirus Disease 2019 (COVID-19) infection, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) over the last two years. The typical features of COVID-19 on High Resolution Computed Tomography (HRCT) of chest including ground glass opacities and consolidation with a peripheral and lower lobar predilection have been very well documented in literature worldwide. However, thin-walled lucencies in the lung parenchyma called cysts is not very well documented. Authors thus present a case series comprising six SARS-CoV-2 Reverse Transcription-Polymerase Chain Reaction (RT-PCR) positive patients admitted to the hospital during the period 1stApril 2021 to 31stMay 2021 with lung cysts on HRCT. It was a retrospective study wherein details of the patients were drawn from the case record sheets and the clinical parameters along with HRCT chest findings were analysed, and correlations were drawn to study the cause, timing and significance of these cysts. In this study, the cysts were found to be thin-walled, varying in size from 5-20 mm in diameter and subpleural in distribution with no obvious lobar predilection.The immediately surrounding lung parenchyma showed features of maximal involvement by the atypical pneumonitis. All six cases had moderate to severe lung involvement entailing oxygen therapy. The high flow oxygen therapy and its duration along with degree of lung involvement, are important determinants of cystic degeneration. In the present case series, cystic changes were observed somewhere between day 15 to day 40 of the disease and thus a part of postacute fibrosis in COVID-19 infection.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Journal of Clinical and Diagnostic Research Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Journal of Clinical and Diagnostic Research Year: 2022 Document Type: Article