Turcato, Gianni and Zaboli, Arian and Panebianco, Luca and Scheurer, Christian and Venturini, A. and Tezza, Giovanna and Canelles, M. F. and Ausserhofer, Dietmar and Pfeifer, Norbert and Wieser, Anton. (2020) Clinical application of the COVID-19 Reporting and Data System (CO-RADS) in patients with suspected SARS-CoV-2 infection: observational study in an emergency department. Clinical radiology, 76 (1). 74.e23-74.e29.
Full text not available from this repository.
Official URL: https://edoc.unibas.ch/79444/
Downloads: Statistics Overview
Abstract
CO-RADS improves the risk classification by 65.8% in patients affected by COVID-19. CO-RADS combined with RT-PCR presents an AUC of 0.98 for patients with COVID-19. CO-RADS improves the risk classification by 82.1% in patients not affected by COVID-19.
Faculties and Departments: | 03 Faculty of Medicine > Departement Public Health > Institut für Pflegewissenschaft |
---|---|
UniBasel Contributors: | Ausserhofer, Dietmar |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Blackwell |
ISSN: | 0009-9260 |
e-ISSN: | 1365-229X |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Related URLs: | |
Identification Number: |
|
Last Modified: | 30 Dec 2020 11:47 |
Deposited On: | 30 Dec 2020 11:46 |
Repository Staff Only: item control page