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Chest Imaging of Patients with Sarcoidosis and SARS-CoV-2 Infection. Current Evidence and Clinical Perspectives.
Tana, Claudio; Mantini, Cesare; Cipollone, Francesco; Giamberardino, Maria Adele.
  • Tana C; COVID-19 Medicine Unit and Geriatrics Clinic, "SS Annunziata" Hospital of Chieti, 66100 Chieti, Italy.
  • Mantini C; Department of Neuroscience, Imaging and Clinical Sciences, Institute of Radiology,"SS. Annunziata" Hospital of Chieti, "G. D'Annunzio" University of Chieti, 66100 Chieti, Italy.
  • Cipollone F; COVID-19 Medicine Unit and Medical Clinic, "SS Annunziata" Hospital of Chieti, Department of Medicine and Science of Aging, "G D'Annunzio" University of Chieti, 66100 Chieti, Italy.
  • Giamberardino MA; COVID-19 Medicine Unit and Geriatrics Clinic, "SS Annunziata" Hospital of Chieti, Department of Medicine and Science of Aging and CAST, "G D'Annunzio" University of Chieti, 66100 Chieti, Italy.
Diagnostics (Basel) ; 11(2)2021 Jan 27.
Article in English | MEDLINE | ID: covidwho-1050596
ABSTRACT
The recent COVID-19 pandemic has dramatically changed the world in the last months, leading to a serious global emergency related to a novel coronavirus infection that affects both sexes of all ages ubiquitously. Advanced age, cardiovascular comorbidity, and viral load have been hypothesized as some of the risk factors for severity, but their role in patients affected with other diseases, in particular immune disorders, such as sarcoidosis, and the specific interaction between these two diseases remains unclear. The two conditions might share similar imaging findings but have distinctive features that are here described. The recent development of complex imaging softwares, called deep learning techniques, opens new scenarios for the diagnosis and management.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Diagnostics11020183

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Diagnostics11020183