id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-023038-p9w9fwak	Fang, Mengjie	CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study	2020-04-15		.txt	text/plain	2540	147	48	The radiomics, which explores huge amounts of features from medical image for disease diagnosis, may help the screen of the COVID-19. The radiomics workflow of this study includes retrospective data collection, lung lesion segmentation, image preprocessing, feature extraction, feature selection and signature construction, and performance evaluation. Receiver-operating characteristic (ROC) curves are plotted for the features and the radiomic signature to assess their predictive performances and are compared using the Delong test. The stratification analysis is presented on gender, age, with/without chronic disease and degree of severity to evaluate the association of radiomic signature with COVID-19 in different clinical subgroups. We evaluate the predictive ability of the radiomic features based on univariate analysis, and find that 23 features yield significant differences between COVID-19 and other types of pneumonias with p-values < 0.05. The experimental results have demonstrated that many radiomic features from the pneumonia are highly associated with the infection of COVID-19.	./cache/cord-023038-p9w9fwak.txt	./txt/cord-023038-p9w9fwak.txt