Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
124 participants
INTERVENTIONAL
2019-03-05
2020-01-19
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Quantitative ultrasound imaging parameter
Quantitative ultrasound imaging parameter (QUS)
Quantitative ultrasound imaging parameter (QUS)
Quantitative ultrasound imaging parameters (QUS) are analyzed to evaluate hepatic steatosis
Interventions
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Quantitative ultrasound imaging parameter (QUS)
Quantitative ultrasound imaging parameters (QUS) are analyzed to evaluate hepatic steatosis
Eligibility Criteria
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Inclusion Criteria
* Signed informed consent
Exclusion Criteria
* chronic alcoholics
* serum alanine transaminase (ALT)\>5 times the upper limit of normal within 3 months
* previous liver surgery
* acute hepatitis or bile duct obstruction
18 Years
ALL
Yes
Sponsors
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Samsung Medison
INDUSTRY
Seoul National University Hospital
OTHER
Responsible Party
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Jeong Min Lee
Professor
Principal Investigators
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Jeon Min Lee
Role: STUDY_DIRECTOR
Seoul National University Hospital
Locations
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Seoul National University Hospital
Seoul, , South Korea
Countries
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References
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Jeon SK, Lee JM, Joo I, Yoon JH, Lee G. Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD. Radiology. 2023 Apr;307(1):e221510. doi: 10.1148/radiol.221510. Epub 2023 Jan 3.
Other Identifiers
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SNUH-1808-155-967
Identifier Type: -
Identifier Source: org_study_id
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