Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/37452
Title: Chest CT features of the novel coronavirus disease (COVID-19)
Authors: Ufuk, Furkan
Savaş, R.
Keywords: Chest computed tomography
COVID-19
Diagnosis
Pneumonia
Radiation
artificial ventilation
bronchography
computed tomographic angiography
computer assisted tomography
coronavirus disease 2019
coughing
disease course
disease exacerbation
disease severity
disease transmission
fever
follow up
human
intensive care unit
lung embolism
lung nodule
lung parenchyma
lymphadenopathy
malaise
myalgia
pericardial effusion
pleura effusion
pleura thickening
prevalence
Review
risk factor
virus pneumonia
Publisher: Turkiye Klinikleri
Abstract: A new type of coronavirus (2019-nCoV) is rapidly spreading worldwide and causes pneumonia, respiratory distress, thromboembolic events, and death. Chest computed tomography (CT) plays an essential role in the diagnosis of viral pneumonia, monitoring disease progression, determination of disease severity, and evaluating therapeutic efficacy. Chest CT can show important clues of 2019-nCoV disease (also known as COVID-19) in patients with an appropriate clinic. Prompt diagnosis of COVID-19 is essential to prevent disease transmission and provides close clinical observation of patients with clinically severe disease. Therefore, radiologists and clinicians should be familiar with the CT imaging findings of COVID-19 pneumonia. Herein, we aimed to review the imaging findings of COVID-19 pneumonia and examine the critical points to be considered for imaging in cases with COVID-19 suspicion. © TÜBİTAK.
URI: https://hdl.handle.net/11499/37452
https://doi.org/10.3906/sag-2004-331
ISSN: 1300-0144
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tıp Fakültesi Koleksiyonu
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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