Body Composition and Fatty Liver Disease

August 16, 2023 updated by: Jeong Min Lee, Seoul National University Hospital

Analysis of the Prognostic Correlation Between Body Composition Analysis and Fatty Liver Progression in Patients With Fatty Liver Using Low-dose CT

This study investigates relationship between fatty liver prognosis and body composition analysis result based on non-contrast low dose CT in patients with fatty liver disease.

Study Overview

Study Type

Interventional

Enrollment (Actual)

150

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • metabolic dysfunction-associated fatty liver disease (fatty liver with overweight/obesity, or type II DM or other metabolic dysfunction)
  • or non-alcoholic fatty liver disease with liver function test abnormality
  • signed informed consent

Exclusion Criteria:

  • chronic hepatitis B or C
  • other disease related to fatty liver such as glycogen storage disease, lipodystrophy, familial combined hyperlipidemia, hypobetalipoproteinemia, Weber-Christian syndrome or abetalipoproteinemia
  • on medication related to hepatic steatosis (tamoxifen, steroid, valproic acid, methotrexate, amiodarone)
  • diabetes after pancreatectomy
  • history of total parenteral nutrition in 6 months
  • pregnancy or nursing mother

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: non-contrast low-dose abdomen CT
non-contrast low-dose abdomen CT (target effective dose: < 1.5 mSv). CT based body composition analysis is performedd with commercially available automatic segmentation software (DeepCatch, Medical IP, South Korea).
target effective dose: < 1.5 mSv It is performed twice in 6-month interval.
Fibroscan is performed within a week of low-dose CT. It is used as a reference standard of hepatic fibrosis and steatosis.
BIA test is performed on the same day of low-dose CT. Commercially available model (Inbody 270) is used.
Other Names:
  • Inbody test (commercial name)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
relationship between body composition analysis result from CT and liver fat fraction
Time Frame: 6 month after CT acquisition
relationship between visceral fat volume fraction (obtained from CT analysis using automatic body segmentation, unitless (visceral fat fraction = visceral fat volume/total body volume)) and CAP value of fibroscan
6 month after CT acquisition

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ratio of appropriate non-contrast low dose abdomen CT acquisition & analysis
Time Frame: 6 month after CT acquisition
Number of CT scan with effective dose < 1.5 mSv AND successful automatic body composition analysis (without manual editing) divided by total number of CT scan
6 month after CT acquisition
relationship between body composition analysis result from CT and hepatic fibrosis
Time Frame: 6 month after CT acquisition
relationship between visceral fat volume fraction (CT analysis using automatic body segmentation, unitless (visceral fat fraction = visceral fat volume/total body volume)) and liver stiffness value of fibroscan
6 month after CT acquisition
agreement between body composition analysis result from CT and bioelectrical impedance analysis (Inbody test)
Time Frame: 6 month after CT acquisition
agreement of visceral fat, subcutaneous fat, muscle amount between CT based body composition and Inbody test results
6 month after CT acquisition

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
incidence of incidental finding
Time Frame: 6 month after CT acquisition
incidentally detected findings on low-dose abdomen CT
6 month after CT acquisition

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jeong Min Lee, MD, professor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 10, 2023

Primary Completion (Estimated)

December 31, 2023

Study Completion (Estimated)

December 31, 2024

Study Registration Dates

First Submitted

December 24, 2022

First Submitted That Met QC Criteria

January 14, 2023

First Posted (Actual)

January 23, 2023

Study Record Updates

Last Update Posted (Actual)

August 18, 2023

Last Update Submitted That Met QC Criteria

August 16, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • SNUH-2022-3238

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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