Body Composition and Fatty Liver Disease

Sponsor
Seoul National University Hospital (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05695118
Collaborator
(none)
150
1
23

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: Non-contrast low-dose abdomen CT
  • Diagnostic Test: Fibroscan
  • Diagnostic Test: bioelectrical impedance analysis (BIA)
N/A

Study Design

Study Type:
Interventional
Anticipated Enrollment :
150 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Analysis of the Prognostic Correlation Between Body Composition Analysis and Fatty Liver Progression in Patients With Fatty Liver Using Low-dose CT
Anticipated Study Start Date :
Jan 31, 2023
Anticipated Primary Completion Date :
Dec 31, 2023
Anticipated Study Completion Date :
Dec 31, 2024

Arms and Interventions

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).

Diagnostic Test: Non-contrast low-dose abdomen CT
target effective dose: < 1.5 mSv It is performed twice in 6-month interval.

Diagnostic Test: Fibroscan
Fibroscan is performed within a week of low-dose CT. It is used as a reference standard of hepatic fibrosis and steatosis.

Diagnostic Test: bioelectrical impedance analysis (BIA)
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)
  • Outcome Measures

    Primary Outcome Measures

    1. relationship between body composition analysis result from CT and liver fat fraction [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

    Secondary Outcome Measures

    1. ratio of appropriate non-contrast low dose abdomen CT acquisition & analysis [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

    2. relationship between body composition analysis result from CT and hepatic fibrosis [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

    3. agreement between body composition analysis result from CT and bioelectrical impedance analysis (Inbody test) [6 month after CT acquisition]

      agreement of visceral fat, subcutaneous fat, muscle amount between CT based body composition and Inbody test results

    Other Outcome Measures

    1. incidence of incidental finding [6 month after CT acquisition]

      incidentally detected findings on low-dose abdomen CT

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    20 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    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

    Contacts and Locations

    Locations

    No locations specified.

    Sponsors and Collaborators

    • Seoul National University Hospital

    Investigators

    • Principal Investigator: Jeong Min Lee, MD, Professor

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Jeong Min Lee, Professor, Seoul National University Hospital
    ClinicalTrials.gov Identifier:
    NCT05695118
    Other Study ID Numbers:
    • SNUH-2022-3238
    First Posted:
    Jan 23, 2023
    Last Update Posted:
    Jan 23, 2023
    Last Verified:
    Jan 1, 2023
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by Jeong Min Lee, Professor, Seoul National University Hospital
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Jan 23, 2023