Cross Calibration of Two Dual Energy Densitometers and Comparison of Regional Adipose Tissue Measurements by iDXA and MRI
NCT ID: NCT02346474
Last Updated: 2020-04-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
100 participants
OBSERVATIONAL
2015-01-24
2020-03-31
Brief Summary
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\- It is important for doctors to know how much fat a person has in his or her body. Machines called DXAs measure how much fat mass and fat-free mass a person has. Researchers in this study have a new DXA machine, and they want to know if it measures body fat as well as the old machine. They also want to see how body fat readings from the new DXA compare to readings from a magnetic resonance imaging (MRI) scan.
Objectives:
\- To see if two DXA machines give the same results when measuring body fat. Also, to know whether the DXA and MRI give the same results in measuring visceral and subcutaneous fat.
Eligibility:
\- People 18 years and older who weigh less than 350 pounds.
Design:
* Participants will be screened with a medical history and physical exam. Women will have a pregnancy test. Researchers will make sure participants are able to have an MRI if they volunteered to.
* Participants will have their body fat measured by each DXA scanner. They will lie quietly on a padded table while being scanned. The scan uses X-rays to take pictures of the body. Both scans will be done on the same morning and will take 10-15 minutes on both machines.
* Some participants also will have their body fat measured with MRI. They will lie in a long, tube-shaped scanner. The machine uses strong magnetic fields and radio waves to take pictures of internal organs. Participants will sign an additional consent form for this procedure.
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Detailed Description
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Fat within the belly which is around organs (called visceral fat or VAT) is linked to more bad health outcomes than fat which is just underneath the skin (called subcutanoues fat or SAT). Along with standardizing the DXA - body composition measurement results we would like to compare VAT and SAT estimates from iDXA with values obtained by MRI. The precise MRI measurements completely avoid radiation exposure for the volunteers but are far more time consuming. Knowing that the results of iDXA match up with or correlate with the MRI results would allow us to use iDXA measurements to estimate visceral and subcutaneous adipose tissue depots in ongoing and the future studies.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
2. Individuals will be recruited to represent a broad range of BMI such that approximately equal numbers of men and women in BMI groups of \< 25 kg/m(2), greater than or equal to 25 kg/m(2)-\<30 kg/m(2), and greater than or equal to 30kg/m(2) are represented.
3. NIH employees will be allowed to participate
Exclusion Criteria
2. Pregnant females, due to exposure to research related radiation in this study
3. Presence of a pacemaker or other implantable devices/shrapnel which may interfere with the MRI scan.
4. Central nervous system disease ( such as cerebrovascular accidents, dementia, and neurodegenerative disorders) which preclude individuals from being able to provide informed consent.
5. Current or past history of: bipolar disorder, schizophrenia or presence of psychotic symptoms, bulimia nervosa or anorexia nervosa, or current major depressive disorder which preclude individuals from being able to provide informed consent.
6. Weight \> 350 pounds (limit of currently used DXA scan)
18 Years
ALL
Yes
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
Responsible Party
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Principal Investigators
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Jonathan Krakoff, M.D.
Role: PRINCIPAL_INVESTIGATOR
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Locations
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NIDDK, Phoenix
Phoenix, Arizona, United States
Countries
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References
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Reinhardt M, Piaggi P, DeMers B, Trinidad C, Krakoff J. Cross calibration of two dual-energy X-ray densitometers and comparison of visceral adipose tissue measurements by iDXA and MRI. Obesity (Silver Spring). 2017 Feb;25(2):332-337. doi: 10.1002/oby.21722. Epub 2016 Dec 21.
Other Identifiers
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15-DK-N054
Identifier Type: -
Identifier Source: secondary_id
999915054
Identifier Type: -
Identifier Source: org_study_id
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