N/A
N=9
Toward an Automated Method of Abdominal Fat Segmentation of MR Images
Obesity
Bottom Line
View on ClinicalTrials.gov: NCT01228968 ↗Enrolled (actual)
9
Serious AEs
0.0%
Results posted
May 2011
Primary outcome: Primary: Visceral Fat Volume With Automated Analysis — 994 cubic centimeters
Study Design & Population
- Study type
- Observational
- Phase
- N/A
- Interventions
- —
- Age
- Adult, Older Adult · 18+ yrs
- Sex
- All
- Sponsor
- Washington University School of Medicine
- Primary completion
- Feb 2011
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Visceral Fat Volume With Automated Analysis |
994 | — |
| PRIMARY Visceral Fat Volume With Manual Segmentation |
1175 | — |
| SECONDARY Subcutaneous Fat Volume With Automated Analysis |
2506 | — |
| SECONDARY Subcutaneous Fat Volume With Manual Segmentation |
2910 | — |
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.
Eligibility Criteria
Inclusion Criteria
- ambulatory
- cognitively sound
Exclusion Criteria
- body mass index less than 18 or greater than 45 kilograms per square meter
Data sourced from ClinicalTrials.gov (NCT01228968). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.