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Toward an Automated Method of Abdominal Fat Segmentation of MR Images

This study has been completed.
Sponsor:
Information provided by:
Washington University School of Medicine
ClinicalTrials.gov Identifier:
NCT01228968
First received: October 25, 2010
Last updated: May 11, 2011
Last verified: May 2011
History of Changes
  Purpose

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.


Condition
Obesity

Study Type: Observational
Study Design: Observational Model: Case-Only
Time Perspective: Cross-Sectional
Official Title: Toward an Automated Method of Abdominal Fat Segmentation of MR Images

Resource links provided by NLM:

MedlinePlus related topics: Obesity
U.S. FDA Resources

Further study details as provided by Washington University School of Medicine:

Primary Outcome Measures:
  • Visceral Fat Volume With Automated Analysis [ Time Frame: five minutes ] [ Designated as safety issue: No ]
    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 [ Time Frame: five minutes ] [ Designated as safety issue: No ]
    This is the measure of visceral fat found with our older manual segmentation method


Secondary Outcome Measures:
  • Subcutaneous Fat Volume With Automated Analysis [ Time Frame: five minutes ] [ Designated as safety issue: No ]
    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 [ Time Frame: five minutes ] [ Designated as safety issue: No ]
    This is the volume of Abdominal Subcutaneous Fat in cubic centimeters as determined with the older manual segmentation technique.


Enrollment: 9
Study Start Date: October 2010
Study Completion Date: February 2011
Primary Completion Date: February 2011 (Final data collection date for primary outcome measure)
Groups/Cohorts
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

Ages Eligible for Study:   18 Years to 70 Years
Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population

Subjects will have a wide range of body mass index and other physical characteristics.

Criteria

Inclusion Criteria:

  • ambulatory
  • cognitively sound

Exclusion Criteria:

  • body mass index less than 18 or greater than 45 kilograms per square meter
  Contacts and Locations
Please refer to this study by its ClinicalTrials.gov identifier: NCT01228968

Locations
United States, Missouri
Washington University School of Medicine
Saint Louis, Missouri, United States, 63110
Sponsors and Collaborators
Washington University School of Medicine
Investigators
Principal Investigator: Samuel Klein, M.D. Washington University School of Medicine
  More Information

No publications provided

Responsible Party: Samuel Klein, MD, Washington University School of Medicine
ClinicalTrials.gov Identifier: NCT01228968     History of Changes
Other Study ID Numbers: MRImethods060229
Study First Received: October 25, 2010
Results First Received: April 11, 2011
Last Updated: May 11, 2011
Health Authority: United States: Institutional Review Board

Keywords provided by Washington University School of Medicine:
obesity

Additional relevant MeSH terms:
Obesity
Overnutrition
Nutrition Disorders
 Overweight
Body Weight
Signs and Symptoms

ClinicalTrials.gov processed this record on May 23, 2013