CT Liver Fat Fraction Quantification
NCT05676177 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150
Last updated 2023-04-12
Summary
Our aim is to develop an AI based tool to use ultra-low dose CT in two separate energy levels using a single-energy CT machine to quantify liver fat in individuals at risk for having non-alcoholic fatty liver disease (NAFLD), compared to MRI which serves as the standard of reference.
Secondary aim of our study is to validate the developed artificial intelligence (AI)-based model on a second group of participants ("external validation").
Conditions
- Non-Alcoholic Fatty Liver Disease
- Steatosis of Liver
Interventions
- DIAGNOSTIC_TEST
-
Ultra Low Dose CT
* Two immediately consecutive scans with either one or two breath-holds * First scan (ULD\_DECT\_1) 140 kilovolt peak (kVp) - fixed current 10 or 20 milliampere (mA) (if body mass index (BMI)\>30), that is 5 or 10 mAs * Second scan (ULD\_DECT\_2) 80 kVp - fixed current 20 or 40 mA (if BMI\>30), that is 10 or 20 mAs
- DIAGNOSTIC_TEST
-
Fat quantification MRI
Dual echo scans, as well as proton density fat fraction (PDFF) scans, will be performed to assess liver fat fraction
Sponsors & Collaborators
-
Sheba Medical Center
lead OTHER_GOV
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-01-29
- Primary Completion
- 2024-12-31
- Completion
- 2025-12-31
Countries
- Israel
Study Locations
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