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Toward an Automated Method of Abdominal Fat Segmentation of MR Images

This study has been completed.
Sponsor:
ClinicalTrials.gov Identifier:
NCT01228968
First Posted: October 27, 2010
Last Update Posted: May 13, 2011
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by:
Washington University School of Medicine
  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

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

Primary Outcome Measures:
  • Visceral Fat Volume With Automated Analysis [ Time Frame: five minutes ]
    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 ]
    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 ]
    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 ]
    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

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.


Ages Eligible for Study:   18 Years to 70 Years   (Adult, Senior)
Sexes Eligible for Study:   All
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
Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): 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

Responsible Party: Samuel Klein, MD, Washington University School of Medicine
ClinicalTrials.gov Identifier: NCT01228968     History of Changes
Other Study ID Numbers: MRImethods060229
First Submitted: October 25, 2010
First Posted: October 27, 2010
Results First Submitted: April 11, 2011
Results First Posted: May 6, 2011
Last Update Posted: May 13, 2011
Last Verified: May 2011

Keywords provided by Washington University School of Medicine:
obesity