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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | five minutes |
| Subcutaneous Fat Volume With Manual Segmentation |
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Inclusion Criteria:
Exclusion Criteria:
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Subjects will have a wide range of body mass index and other physical characteristics.
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| Name | Affiliation | Role |
|---|---|---|
| Samuel Klein, M.D. | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University School of Medicine | St Louis | Missouri | 63110 | United States |
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we recruited subjects currently enrolled in related studies.
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| ID | Title | Description |
|---|---|---|
| FG000 | 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. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | 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. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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. | Posted | Mean | Standard Deviation | cubic centimeters | five minutes |
|
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | 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. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Gary Skolnick | Washington University School of Medicine | 3143625292 | gskolnic@wustl.edu |
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| ID | Term |
|---|---|
| D009765 | Obesity |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with the older manual segmentation technique.
| five minutes |
| Participants |
|
| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
|
| 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. | Posted | Mean | Standard Deviation | cubic centimeters | five minutes |
|
|
|
| Primary | Visceral Fat Volume With Manual Segmentation | This is the measure of visceral fat found with our older manual segmentation method | Posted | May 2011 | Mean | Standard Deviation | cm3 | five minutes |
|
|
|
| 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. | Posted | Mean | Standard Deviation | cubic centimeters | five minutes |
|
|
|
| 0 |
| 9 |
| 0 |
| 9 |
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| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |