Toward an Automated Method of Abdominal Fat Segmentation of MR Images

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.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

9

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Missouri
      • Saint Louis, Missouri, United States, 63110
        • Washington University School of Medicine

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

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

Description

Inclusion Criteria:

  • ambulatory
  • cognitively sound

Exclusion Criteria:

  • body mass index less than 18 or greater than 45 kilograms per square meter

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
five minutes
Visceral Fat Volume With Manual Segmentation
Time Frame: five minutes
This is the measure of visceral fat found with our older manual segmentation method
five minutes

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
five minutes
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.
five minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Samuel Klein, M.D., Washington University School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

October 1, 2010

Primary Completion (Actual)

February 1, 2011

Study Completion (Actual)

February 1, 2011

Study Registration Dates

First Submitted

October 25, 2010

First Submitted That Met QC Criteria

October 26, 2010

First Posted (Estimate)

October 27, 2010

Study Record Updates

Last Update Posted (Actual)

July 11, 2018

Last Update Submitted That Met QC Criteria

June 13, 2018

Last Verified

June 1, 2018

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • MRImethods060229

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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