{"title":"Pairing CT and Laboratory Data to Predict Prognosis in COVID-19","authors":"K. Colvin","doi":"10.33590/emjradiol/21f20415","DOIUrl":null,"url":null,"abstract":"EMJ 22 In the early period of the pandemic, Prof Cappabianca explained, studies examined the use of CT imaging for diagnosis of COVID-19; however, evolution of clinical thinking moved to support consideration of COVID-19 as a general viral infection, where the role of CT imaging is in defining extent of disease rather than diagnosis. He discussed his retrospective, univariate, and multivariate analysis, which aimed “to clarify the place of the CT scan in the management of COVID-19 patients, define the possibilities of CT alone in prediction of patients’ outcome, and to compare lung CT impairment with clinical data to improve performance in outcome prediction.”","PeriodicalId":93747,"journal":{"name":"EMJ. Radiology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EMJ. Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33590/emjradiol/21f20415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
EMJ 22 In the early period of the pandemic, Prof Cappabianca explained, studies examined the use of CT imaging for diagnosis of COVID-19; however, evolution of clinical thinking moved to support consideration of COVID-19 as a general viral infection, where the role of CT imaging is in defining extent of disease rather than diagnosis. He discussed his retrospective, univariate, and multivariate analysis, which aimed “to clarify the place of the CT scan in the management of COVID-19 patients, define the possibilities of CT alone in prediction of patients’ outcome, and to compare lung CT impairment with clinical data to improve performance in outcome prediction.”