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Development and Validation of an Image Based, Computed Trabecular Network Model for Estimating Vertebral Fracture Risk in the Aging Population

Award Number: F30AG063444
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

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Project Summary The aging process often results in decreased bone health in the lumbar spine which can lead to increased risk of vertebral injury. Osteoporosis most affects the density and distribution of trabecular (spongy) bone, but current models overlook the heterogeneous qualities of this region. Finite element (FE) modeling offers a noninvasive method to assess fracture risk using metrics of bone quality measured from quantitative computed tomography scans (qCT). However, due to current limitations of CT scans, it can be difficult to accurately quantify bone degradation clinically. The primary objectives of this proposed study are to develop a novel computed trabecular matrix for lumbar vertebrae trabeculae that will be used to extract additional information from CT scans. The computed trabecular matrix that results from this study could provide additional insight into the relationship between image data and bone strength. Bone morphology, bone volume fraction (BV/TV), and cortical thickness will be measured in qCT scans of cadaveric lumbar spine. In addition, average daily compressive load at each vertebra will be calculated from patient weight and height. These metrics will be input to Optistruct, which will then perform topology optimization to optimally distribute the load throughout the trabecular region. These vertebral models will be compressed until failure. To validate the biomechanical properties of the computed trabecular matrix, the same cadaveric vertebrae will be removed and compressed to failure using a servohydraulic uniaxial loading system. The novel computed trabecular matrix will then be used to model the effects of aging on bone quality degradation. Bone quality metrics of the lumbar spine will be obtained from 30 adults between 50-79 years of age who underwent baseline and follow-up CT scans 12-48 months apart. A computed trabecular matrix will be created for each follow-up and baseline scan to analyze changes in bone strength, vertebral geometry, and cortical thickness. This research will employ an interdisciplinary approach by using radiology, biomechanics, and orthopaedics to study age-related bone decrement. The project will yield a novel computed trabecular matrix to extract additional clinically relevant data from image series, further adding value to CT scans in the fields of geriatrics and orthopaedics.


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: 2023 ( Subtotal = $52,694 )
2023	2023	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	000	5	2/17/2023	NON-COMPETING CONTINUATION	$52,694
														Subtotal = $52,694

Issue Date FY: 2022 ( Subtotal = $51,752 )
2022	2022	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	001	4	5/6/2022	NON-COMPETING CONTINUATION	$717
2022	2022	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	000	4	2/24/2022	NON-COMPETING CONTINUATION	$51,036
2022	2022	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	002	4	7/18/2022	NON-COMPETING CONTINUATION	-$1
														Subtotal = $51,752

Issue Date FY: 2021 ( Subtotal = $51,036 )
2021	2021	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	000	3	3/31/2021	NON-COMPETING CONTINUATION	$51,036
														Subtotal = $51,036

Issue Date FY: 2020 ( Subtotal = $50,520 )
2020	2020	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	000	2	2/19/2020	NON-COMPETING CONTINUATION	$50,520
														Subtotal = $50,520

Issue Date FY: 2019 ( Subtotal = $50,016 )
2019	2019	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	000	1	3/29/2019	NEW	$50,016
2019	2019	WAKE FOREST UNIVERSITY HEALTH SCIENCES	MEDICAL CENTER BLVD	WINSTON SALEM	NC	27157	FORSYTH	USA	Aging Research	001	1	3/29/2019	NEW	$0
														Subtotal = $50,016

Grand Total All Awards = $256,018

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Development and Validation of an Image Based, Computed Trabecular Network Model for Estimating Vertebral Fracture Risk in the Aging Population

Award Number: F30AG063444

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

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