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Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population

Award Number: R01DK129809
ORGANIZATION: NATIONAL INSTITUTE OF DIABETES & DIGESTIVE & KIDNEY DISEASES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population - Project Summary Current techniques for measuring the physiological or psychological effects of obesity, and in particular bariatric surgery, either lack sensitivity, are invasive, or require expensive specialized devices. For measuring the physiological effects, BMI is commonly used to diagnose obesity despite the known shortcomings as a marker for metabolic syndrome. Biomarkers such as anthropometric measurements (e.g., waist-to-hip ratio) and visceral adipose tissue (VAT) have been shown to be superior to BMI in predicting health risks associated with obesity, but these measures lack sensitivity, specificity, or are expensive. Another key morbidity associated with obesity is non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). The gold standard to the diagnosis and assessment of these conditions is histologic evaluation of liver biopsies. Fibroscan transient elastography is a noninvasive test which can also assess fibrosis, but high BMI and severe steatosis can decrease its accuracy. These approaches are either invasive, expensive, or relatively inaccurate. Measures of self-body perception are commonly used to assess psychological aspects of obesity, as body image is an important motivator for diet, physical activity, and weight loss intention. Body image perception is commonly assessed using self-reports and cartoon-like line drawings which are non-subject specific and insensitive. Based on our preliminary work (R21HL124443) that developed optical body scanning technology to capture 3D body shapes using inexpensive hardware, we propose to use the technology to study the physiological and psychological effects on subjects with severe obesity: · Develop prediction algorithm for hepatic steatosis, fibrosis, adiposity, and blood biomarkers using optical scans. The optical scan and biopsy data will be used as the training and validation set to develop a machine learning algorithm to cheaply and non-invasively predict the biomarkers from 3D body surface data. · Develop the use of optical scans for measuring the physiological effects of obesity. We will conduct a cross sectional and longitudinal study to further assess the use of optical surface scans to determine health indicators associated with obesity (using data from surface scan, DXA and serum biomarkers) for one year following surgery. We will establish a database of such data along with software for data mining the database. · Develop the use of optical scans for measuring the psychological effects of obesity. We will collect 3D surface geometry of each subject using optical scans and morph these to produce subject-specific images of larger or smaller body shape. We will use these images to study perception related to obesity and in particular patients undergoing post-operative body changes


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $469,409 )
2024	2024	GEORGE WASHINGTON UNIVERSITY (THE)	1918 F ST NW	WASHINGTON	DC	20052	DISTRICT OF COLUMBIA	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	4	8/27/2024	NON-COMPETING CONTINUATION	$469,409
														Subtotal = $469,409

Issue Date FY: 2023 ( Subtotal = $564,766 )
2023	2023	GEORGE WASHINGTON UNIVERSITY (THE)	1918 F ST NW	WASHINGTON	DC	20052	DISTRICT OF COLUMBIA	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	3	8/9/2023	NON-COMPETING CONTINUATION	$564,766
														Subtotal = $564,766

Issue Date FY: 2022 ( Subtotal = $586,009 )
2022	2022	GEORGE WASHINGTON UNIVERSITY, THE	1918 F ST NW	WASHINGTON	DC	20052	DISTRICT OF COLUMBIA	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	2	8/9/2022	NON-COMPETING CONTINUATION	$586,009
														Subtotal = $586,009

Issue Date FY: 2021 ( Subtotal = $593,040 )
2021	2021	GEORGE WASHINGTON UNIVERSITY, THE	1918 F ST NW	WASHINGTON	DC	20052	DISTRICT OF COLUMBIA	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	1	7/21/2021	NEW	$593,040
2021	2021	GEORGE WASHINGTON UNIVERSITY, THE	1918 F ST NW	WASHINGTON	DC	20052	DISTRICT OF COLUMBIA	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	001	1	9/15/2021	NEW	$0
														Subtotal = $593,040

Grand Total All Awards = $2,213,224

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Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population

Award Number: R01DK129809

ORGANIZATION: NATIONAL INSTITUTE OF DIABETES & DIGESTIVE & KIDNEY DISEASES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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