id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-344978-m672rnze	Chen, Yuntian	A Quantitative and Radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: a retrospective cohort study	2020-07-06		.txt	text/plain	3966	242	49	title: A Quantitative and Radiomics approach to monitoring ARDS in COVID-19 patients based on chest CT: a retrospective cohort study Three different models were constructed by using the traditional quantitative imaging metrics, radiomics features and their combinations, respectively. In this study, we use quantitative data analysis of chest CT images to detect the existence of ARDS during the COVID-19 treatment. Our results showed that used radiomics or quantitative metrics to monitor the ARDS existence was feasible, which had expanded the effectiveness of CT scans during the COVID-19 treatment, although it is still in controversy for reasons of availability, cost, and increased risk of cross-infection and radiation dosage [23] . Our results showed that radiomics or traditional quantitative post-analysis on a CT image could add extra information of disease condition in COVID-19 patients. A noninvasive ARDS existence monitoring model was constructed by using quantitative and radiomics analysis of chest CT images for COVDI-19 patients.	./cache/cord-344978-m672rnze.txt	./txt/cord-344978-m672rnze.txt