2021
DOI: 10.1007/978-3-030-59261-5_24
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Identification, Monitoring, and Prediction of Disease Severity in Patients with COVID-19 Pneumonia Based on Chest Computed Tomography Scans: A Retrospective Study

Abstract: Background and AimsNon-contrast chest computed tomography (CT) scans can accurately evaluate the type and extent of lung lesions. The aim of this study was to investigate the chest CT features associated with critical and non-critical patients with coronavirus disease 2019 (COVID-19). Methods A total of 1078 patients with COVID-19 pneumonia who underwent chest CT scans, includ-

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Cited by 5 publications
(2 citation statements)
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“…In our study, we reviewed a total of 1078 patients with COVID‐19 pneumonia who underwent chest computed tomography (CT) at Baqiyatallah Hospital, Tehran, Iran, and were hospitalized from March to April 2020. 2 Data were extracted from hospital registry records including age, sex, date of admission, date of discharge, history of readmission, mortality (in‐hospital or out‐of‐hospital), and chest CT scan information including lesion distribution, opacity score and underlying disease (according to chest CT).…”
Section: Graphmentioning
confidence: 99%
See 1 more Smart Citation
“…In our study, we reviewed a total of 1078 patients with COVID‐19 pneumonia who underwent chest computed tomography (CT) at Baqiyatallah Hospital, Tehran, Iran, and were hospitalized from March to April 2020. 2 Data were extracted from hospital registry records including age, sex, date of admission, date of discharge, history of readmission, mortality (in‐hospital or out‐of‐hospital), and chest CT scan information including lesion distribution, opacity score and underlying disease (according to chest CT).…”
Section: Graphmentioning
confidence: 99%
“…Ramezan Jafari 2 Nematollah Jonaidi Jafari 3 Farshid Rahimi-Bashar 4 Mandana Nourbakhsh 5 Amir Vahedian-Azimi 6 Amirhossein Sahebkar 7,8,9,10…”
Section: Conflict Of Interestsmentioning
confidence: 99%