Toward an Automated Method of Abdominal Fat Segmentation of MR Images
1 other identifier
observational
9
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Oct 2010
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2010
CompletedFirst Submitted
Initial submission to the registry
October 25, 2010
CompletedFirst Posted
Study publicly available on registry
October 27, 2010
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2011
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2011
CompletedResults Posted
Study results publicly available
May 6, 2011
CompletedJuly 11, 2018
June 1, 2018
4 months
October 25, 2010
April 11, 2011
June 13, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Visceral Fat Volume With Automated Analysis
This is the measurement of Abdominal Visceral Fat in cubic centimeters as determined with a new automated segmentation program.
five minutes
Visceral Fat Volume With Manual Segmentation
This is the measure of visceral fat found with our older manual segmentation method
five minutes
Secondary Outcomes (2)
Subcutaneous Fat Volume With Automated Analysis
five minutes
Subcutaneous Fat Volume With Manual Segmentation
five minutes
Study Arms (1)
Volunteers
Volunteers will have a range of body mass index from 19 - 45 kilogram per square meter. In order to fit in the magnetic resonance scanner subjects must weigh less than 300 pounds.
Eligibility Criteria
Subjects will have a wide range of body mass index and other physical characteristics.
You may qualify if:
- ambulatory
- cognitively sound
You may not qualify if:
- body mass index less than 18 or greater than 45 kilograms per square meter
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Washington University School of Medicine
St Louis, Missouri, 63110, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Gary Skolnick
- Organization
- Washington University School of Medicine
Study Officials
- PRINCIPAL INVESTIGATOR
Samuel Klein, M.D.
Washington University School of Medicine
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 25, 2010
First Posted
October 27, 2010
Study Start
October 1, 2010
Primary Completion
February 1, 2011
Study Completion
February 1, 2011
Last Updated
July 11, 2018
Results First Posted
May 6, 2011
Record last verified: 2018-06