ReviewAcute Respiratory Distress Syndrome: Imaging of the Injured Lung
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Cited by (82)
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features
2021, Computers in Biology and MedicineCitation Excerpt :ARDS is characterized by diffuse alveolar damage, often resulting in widespread edema and fluid buildup in the lungs. The clinical corollary is catastrophic and generally associated with poor outcomes, with such risks increasing with age and severity of illness [3]. Furthermore, early studies have shown that ARDS is associated with the novel coronavirus disease 2019 (COVID-19) – specifically in severe cases where it is hypothesized that the virus travels beyond the upper airway, moving through the lungs and causing a widespread inflammation in the alveoli [4].
Imaging Early Postoperative Complications of Cardiothoracic Surgery
2020, Radiologic Clinics of North AmericaCitation Excerpt :Patients presenting with clinical manifestations of ARDS often have radiographic findings, such as dependent atelectasis and patchy areas of lung consolidation, similar to those of infection and hemorrhage. The opacities become denser and more confluent over a period of just days with air bronchograms becoming apparent.15 CT findings include diffuse or patchy ground-glass opacities, which can have a geographic distribution with normal lobules located adjacent to abnormal lobules, and the subpleural regions of the lungs can be spared (Fig. 2).
Investigating the potential to assess severe lung inhalation injuries using computed tomography
2019, BurnsCitation Excerpt :Typical lung CT images of ARDS patients demonstrated not only ground-glass opacification, but also lung consolidation, which was more obvious in the lower lobe of the lung. Their distributions depended on the severity of the ARDS, where the area of lung consolidation and the extent of ground-glass opacification both increased with severity [20,21]. All of the above studies evaluated the potential use of CT in assessing the degree of inhalation injury.
Frequency of five unusual presentations in patients with COVID-19: Results of the UMC-19-S<inf>1</inf>
2020, Epidemiology and Infection
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Author for correspondence and guarantor of study: Dr Sujal R. Desai, Department of Radiology, King's College Hospital, Denmark Hill London SE5 8EQ, U.K. Fax: +44(0)20 7346 3157; E-mail: [email protected]