Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age19+
SponsorSeoul National University Hospital
About this trial
This study aims to evaluate diagnostic performance of CT attenuation parameters acquired using deep learning algorithm in assessing hepatic steatosis and fibrosis.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
chronic hepatitis B
no chronic liver disease other than chronic hepatitis B
Body mass index >= 23
Disqualifiers
pregnant women
unable to perform MRI examinations due to claustrophobia or metallic foreign body
suspicious hepatic malignancy on previous imaging studies
history of local treatment for hepatic lesions
Trial population
Patients with chronic hepatitis B who follow up at Seoul National University Hospital having no history of hepatic malignancies
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
computerized tomography
Diagnostic testnoncontrast abdominal CT
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis
diagnostic performance of CT attenuatio parameters in assessing hepatic steatosis and fibrosis using MRI-PDFF and MR elastography as reference standards
Time frame
At the time of enrollmentSecondary outcomes
1
Consistency between MRI-derived body composition data and CT-derived data
Consistency between MRI-derived body composition data and CT-derived data using automated 3D organ segmentation algorithm
Time frame
At the time of enrollmentSponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: