id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-029710-ythz9ax0	Homayounieh, Fatemeh	CT Radiomics, Radiologists and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia	2020-07-23		.txt	text/plain	3090	166	44	PURPOSE: To compare prediction of disease outcome, severity, and patient triage in COVID-19 pneumonia with whole lung radiomics, radiologists' interpretation, and clinical variables. CONCLUSION: Radiomics from non-contrast chest CT were superior to radiologists' assessment of extent and type of pulmonary opacities in predicting COVID-19 pneumonia outcome, disease severity, and patient triage. We compared prediction of disease outcome, severity, and patient triage in COVID-19 pneumonia with whole lung radiomics, radiologists' interpretation, and clinical variables. Although prior studies have reported on the ability of visual severity score of COVID-19 pneumonia on chest CT [16, 18, 20] , we found that such qualitative assessment was not as useful as radiomics in predicting ICU admission or patient outcome (recovery versus death). Another limitation of our study pertains to the fact that some patients may have been admitted to the hospital based on severity of symptoms, other comorbidities (such as immunodeficiencies) or positive CT findings rather than an extensive lung changes related to COVID-19 pneumonia.	./cache/cord-029710-ythz9ax0.txt	./txt/cord-029710-ythz9ax0.txt