Ultra Dual-Energy X-ray Absorptiometry (DXA): Accurate and Precise Quantitative Multi-compartment Body Composition

NCT ID: NCT03430323

Last Updated: 2019-03-07

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

33 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-08-29

Study Completion Date

2018-01-31

Brief Summary

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The central hypothesis is that the combination of measurements from 3D optical scans with standard DXA scans can be used to calculate 4 unique body composition compartments: water, fat, protein, mineral. This is significant because it will allow for accurate assessment of adiposity and functional protein status independent of hydration. The hypothesis is based on preliminary data collected demonstrating the use of thickness and dual energy X-ray measurements to calculate three-compartment breast composition.

Detailed Description

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This is a cross-sectional comparative technology study using a sample of convenience stratified by age, sex, and BMI. Following consent, each participant will undergo:

* 6 DXA whole body scans. The primary measure is bone mineral mass and body volume. DXA body volume is measured using equations from previous work that relate the fat, lean, and bone masses to individual volumes in an image pixel using the physical densities of the components and the know area of the pixel.
* Total body water measurement using standard deuterium dilution methods. The primary measure is total body water in liters.
* Body volume measurement using air displacement plethsymography. The primary measure is volume in liters.
* Whole body 3D optical surface scans. The primary measures mesh points that make up a point cloud of the surface of the body. Approximately 500,000 mesh points are used and placed on the surface of the participants body image. The variation of the location of these mesh points can be described using Principal Component Analysis (PCA). In addition, the 3D optical scans can be used to measure the thickness of the body along the path of each X-ray that goes through the body resulting in a tissue thickness for each DXA image pixel.
* Bioelectrical impedance analysis (BIA). The primary measure is percent body fat, and total body water.
* Physical anthropometry. The primary measure is waist circumference.

Conditions

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Body Composition

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* ambulatory
* tolerate lying on their back on a table for 20 minutes
* less than 250 lbs
* tolerate standing and holding still for 1 minute

Exclusion Criteria

* cannot stand for several minutes
* cannot lie down on a table for 10 minutes
* over 250 lbs
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Hologic, Inc.

INDUSTRY

Sponsor Role collaborator

University of California, San Francisco

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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John A Shepherd, PhD

Role: PRINCIPAL_INVESTIGATOR

University of California, San Francisco

Locations

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University of California San Francisco

San Francisco, California, United States

Site Status

Countries

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United States

Other Identifiers

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P0515173

Identifier Type: -

Identifier Source: org_study_id

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