Obesity
Conditions
Keywords
obesity
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.
Interventions
None listed
Sponsors
Washington University School of Medicine
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes
Inclusion criteria
* ambulatory * cognitively sound
Exclusion criteria
* body mass index less than 18 or greater than 45 kilograms per square meter
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Visceral Fat Volume With Manual Segmentation | five minutes | This is the measure of visceral fat found with our older manual segmentation 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
United States
Participant flow
Recruitment details
we recruited subjects currently enrolled in related studies.
Participants by arm
| Arm | Count |
|---|---|
| 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. | 9 |
| Total | 9 |
Baseline characteristics
| Characteristic | Volunteers |
|---|---|
| Age, Categorical <=18 years | 0 Participants |
| Age, Categorical >=65 years | 0 Participants |
| Age, Categorical Between 18 and 65 years | 9 Participants |
| Age, Continuous | 39.8 years STANDARD_DEVIATION 9.3 |
| Region of Enrollment United States | 9 participants |
| Sex: Female, Male Female | 8 Participants |
| Sex: Female, Male Male | 1 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | — / — |
| other Total, other adverse events | 0 / 9 |
| serious Total, serious adverse events | 0 / 9 |
Outcome results
Primary
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.
Time frame: five minutes
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Volunteers | Visceral Fat Volume With Automated Analysis | 994 cubic centimeters | Standard Deviation 618 |
Primary
Visceral Fat Volume With Manual Segmentation
This is the measure of visceral fat found with our older manual segmentation method
Time frame: five minutes
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Volunteers | Visceral Fat Volume With Manual Segmentation | 1175 cm3 | Standard Deviation 636 |
Secondary
Subcutaneous Fat Volume With Automated Analysis
This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with new automated anatomical segmentation software.
Time frame: five minutes
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Volunteers | Subcutaneous Fat Volume With Automated Analysis | 2506 cubic centimeters | Standard Deviation 887 |
Secondary
Subcutaneous Fat Volume With Manual Segmentation
This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with the older manual segmentation technique.
Time frame: five minutes
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Volunteers | Subcutaneous Fat Volume With Manual Segmentation | 2910 cubic centimeters | Standard Deviation 964 |