Toward an Automated Method of Abdominal Fat Segmentation of MR Images

Completed

• Conditions: Obesity

• Registration Number: NCT01228968
• Lead Sponsor: Washington University School of Medicine

Brief Summary

Subjects will undergo a brief magnetic resonance (MRI) scan. The resulting images will be used to compare two abdominal fat segmentation techniques. The first technique is already validated and in use. The second technique was recently developed and has not been validated. The hypothesis is that the second technique will be the faster and more reliable of the two.

Detailed Description

Not available

Basic Information
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Recruitment & Eligibility
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Study & Design
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Trial Locations

Study Timeline

• Study Start: 2010-10
• Study First Submitted: 2010-10-25
• Study First Submitted QC: 2010-10-26
• Study First Posted: 2010-10-27
• Primary Completion: 2011-02
• Study Completion: 2011-02
• Results First Submitted: 2011-04-11
• Results First Submitted QC: 2011-04-11
• Results First Posted: 2011-05-06
• Status Verified: 2018-06
• Last Update Submitted: 2018-06-13
• Last Update Posted: 2018-07-11

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 9

Inclusion Criteria

• ambulatory
• cognitively sound

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Exclusion Criteria

• body mass index less than 18 or greater than 45 kilograms per square meter

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Visceral Fat Volume With Automated Analysis	five minutes	This is the measurement of Abdominal Visceral Fat in cubic centimeters as determined with a new automated segmentation program.
Visceral Fat Volume With Manual Segmentation	five minutes	This is the measure of visceral fat found with our older manual segmentation method

Secondary Outcome Measures

Name	Time	Method
Subcutaneous Fat Volume With Automated Analysis	five minutes	This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with new automated anatomical segmentation software.
Subcutaneous Fat Volume With Manual Segmentation	five minutes	This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with the older manual segmentation technique.

Trial Locations

Locations (1)

Washington University School of Medicine; 🇺🇸 Saint Louis, Missouri, United States