[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"fibrosis-and-cirrhosis-of-liver\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:fibrosis-and-cirrhosis-of-liver":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":21,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":30,"startDateStruct":33,"completionDateStruct":35,"leadSponsor":37,"locationsCount":5},"100563433","quantitative-ct-imaging-parameters-for-assessing-hepatic-steatosis-in-chb-100563433",false,"NCT06616103","Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB","Utility of Quantitative Imaging Parameters from Deep Learning-based CT Segmentation in Assessing Hepatic Steatosis and Fibrosis in Chronic Hepatitis B: a Prospective Study Using MRI As the Reference Standard","Inclusion Criteria:\n\n* chronic hepatitis B\n* no chronic liver disease other than chronic hepatitis B\n* Body mass index \\>= 23\n\nExclusion Criteria:\n\n* pregnant women\n* unable to perform MRI examinations due to claustrophobia or metallic foreign body\n* suspicious hepatic malignancy on previous imaging studies\n* history of local treatment for hepatic lesions\n* history of surgery or catheter insertion of liver or spleen","ALL","19 Years",{"count":19,"type":20},111,"ESTIMATED","1 Year","OBSERVATIONAL","This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis.",[25,26,27],"Chronic Hepatitis B","Steatosis of Liver","Fibrosis and Cirrhosis of Liver","NOT_YET_RECRUITING","2024-09-24",{"date":31,"type":32},"2024-09-27","ACTUAL",{"date":34,"type":20},"2024-09-26",{"date":36,"type":20},"2025-08-31",{"name":38,"class":39},"Seoul National University Hospital","OTHER"]