Grant: Operating Grant
University of Calgary
$629,550.00
A biomedical engineering approach to investigating bone quality across the lifespan
EF 2009-10
Résumé
Osteoporosis is a disease of decreased bone density and deterioration of tissue resulting in an increased risk of fracture, most often in the hip, spine and wrist. In our aging Canadian population, the prevalence of osteoporosis is rapidly increasing. One in four women (and one in eight men) over the age of 50 has osteoporosis, and currently about two million Canadians suffer from the disease. This represents a significant health concern, and a burden on our health care system with costs estimated to be $1.3 billion each year in Canada. The proposed research develops a new approach to diagnosing and monitoring the disease through the use of a newly developed medical imaging technology called high resolution peripheral quantitative computed tomography (HR-pQCT) that provides high resolution images of bone in patients. To date, the normal way that osteoporosis patients are diagnosed or monitored is to simply measure their areal bone mineral density. New HR-pQCT technology is a significant advancement for monitoring patients because it measures volumetric bone density and three-dimensional structure. This technology, in combination with the finite element method (a computer modeling technique), provides a novel method to estimate the breaking strength of bones directly from patients, rather than trying to estimate a patients bone strength from the density alone. Our research seeks to establish the use of HR-pQCT on a representative Canadian population to identify the normal variation of bone structure as a function of age and sex. These data will provide a critically needed reference data against which the bone measurements of potential osteoporosis patients can be measured. We will explore research questions such as how increased porosity affects bone strength, and whether physical activity is a predictor of bone quality. This research will provide important new insight into bone quality in Canadians, and establish a new tool for monitoring bone health.
Programme
Operating Grant
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
199137
Name
Boyd Steven K
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Biomedical
Prcname2
Biomedical Engineering
Projecttitle
A biomedical engineering approach to investigating bone quality across the lifespan
Programtype2
Operating Grants
Orgnameinp2
University of Calgary
Cihramount2
$629,550
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Biomedical Engineering; Bone And Joint Health; Bone Quality; Medical Imaging; Micro-Computed Tomography; Osteoporosis; Quantitative X-Ray Techniques
Abstract
Osteoporosis is a disease of decreased bone density and deterioration of tissue resulting in an increased risk of fracture, most often in the hip, spine and wrist. In our aging Canadian population, the prevalence of osteoporosis is rapidly increasing. One in four women (and one in eight men) over the age of 50 has osteoporosis, and currently about two million Canadians suffer from the disease. This represents a significant health concern, and a burden on our health care system with costs estimated to be $1.3 billion each year in Canada. The proposed research develops a new approach to diagnosing and monitoring the disease through the use of a newly developed medical imaging technology called high resolution peripheral quantitative computed tomography (HR-pQCT) that provides high resolution images of bone in patients. To date, the normal way that osteoporosis patients are diagnosed or monitored is to simply measure their areal bone mineral density. New HR-pQCT technology is a significant advancement for monitoring patients because it measures volumetric bone density and three-dimensional structure. This technology, in combination with the finite element method (a computer modeling technique), provides a novel method to estimate the breaking strength of bones directly from patients, rather than trying to estimate a patients bone strength from the density alone. Our research seeks to establish the use of HR-pQCT on a representative Canadian population to identify the normal variation of bone structure as a function of age and sex. These data will provide a critically needed reference data against which the bone measurements of potential osteoporosis patients can be measured. We will explore research questions such as how increased porosity affects bone strength, and whether physical activity is a predictor of bone quality. This research will provide important new insight into bone quality in Canadians, and establish a new tool for monitoring bone health.
Competitiondate
201003
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Boyd, Steven K; Hanley, David A
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $629,550~ $0~