Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic
By Q. Peng, Xiaoting Wang, Li-na Zhang. Intensive Care Medicine, 2020
687 citations recorded by the source corpus.
Dear Editor, Up to 24 February 2020, there have been 77,269 officially reported confirmed cases of 2019 novel corona virus (SARS-CoV-2) infection in China. As lung abnormalities may develop before clinical manifestations and nucleic acid detection, experts have recommended early chest computerized tomography (CT) for screening suspected patients [1]. The high contagiousness of SARSCoV-2 and the risk of transporting unstable patients with hypoxemia and hemodynamic failure make chest CT a limited option for the patient with suspected or established COVID-19. Lung ultrasonography gives the results that are similar to chest CT and superior to standard chest radiography for evaluation of pneumonia and/ or adult respiratory distress syndrome (ARDS) with the added advantage of ease of use at point of care, repeatability, absence of radiation exposure, and low cost [2]. In this report, we summarize our early experience with lung ultrasonography for evaluation of SARS-CoV-2 infection in China with the intent of alerting frontline intensivists to the utility of lung ultrasonography for management of COVID-19.
Subfields: Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/672c9476504c767742dffc4d9b476c295da3ceb0
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In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- The Role of Imaging in the Detection and Management of COVID-19: A Review (2020, result): “[51] reported that lung ultrasonography could provide results comparable with chest CT for evaluation of COVID-19 pneumonia.”
- Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound (2020, background): “Findings suggest specific LUS characteristics and imaging biomarkers for COVID-19 patients [10]–[12], which may be used to both detect these patients and manage the respiratory efficacy of mechanical ventilation [13].”