Selected article for: "acute respiratory disease and CT image"

Author: Samson, Pamela; Ning, Matthew S.; Shaverdian, Narek; Shepherd, Annemarie F.; Gomez, Daniel R.; McGinnis, Gwendolyn J.; Nitsch, Paige L.; Chmura, Steven; O’Reilly, Michael S.; Lee, Percy; Chang, Joe Y.; Robinson, Clifford; Lin, Steven H.
Title: Clinical and Radiographic Presentations of COVID-19 among Patients Receiving Radiation Therapy for Thoracic Malignancies
  • Cord-id: uwzu5lts
  • Document date: 2020_5_11
  • ID: uwzu5lts
    Snippet: The 2019 novel coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a pandemic affecting healthcare centers across the globe. Patients with cancer have been reported to be particularly vulnerable to infection, morbidity, and severe events. Given the high proportion of asymptomatic carriers and concerns regarding speed and availability of laboratory testing, novel detection strategies are necessary to supplement traditional screeni
    Document: The 2019 novel coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a pandemic affecting healthcare centers across the globe. Patients with cancer have been reported to be particularly vulnerable to infection, morbidity, and severe events. Given the high proportion of asymptomatic carriers and concerns regarding speed and availability of laboratory testing, novel detection strategies are necessary to supplement traditional screening methods and facilitate mitigation of viral transmission. Recent data support the diagnostic consistency and potential value of computed tomography (CT) scans to aid early diagnosis of COVID-19. Volumetric CT image-guidance is commonly employed in patients undergoing radiotherapy and presents a unique opportunity to screen for COVID-specific lung changes. This case series describes the presentation of SARS-CoV-2 infections among three patients undergoing thoracic radiotherapy across multiple institutions. We highlight their clinical symptoms, imaging findings, potential confounders, and clinical workflow to triage these patients to the next level of care.

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