The goal of the proposed research is to develop computerized radiographic methods for measuring bone structure for use in quantitatively assessing osteoporosis and risk of fracture. We will investigate the characteristics of trabecular bone structure in digital radiographs in the spine, hip and extremities using computerized texture analyses. We believe that our methods have the potential to aid in the assessment of osteoporosis and that the use of both BMD and bone structure information should improve the predictive value for assessing fracture risk over that obtainable with BMD alone. We will create a database in order to quantify the characteristic features of the trabecular pattern in high-resolution radiographic bone images of patients with varying degrees of osteoporosis, as well as in normal subjects. Specifically, we plan to (l) develop computerized texture analysis schemes for the automatic assessment of bone structure in digitized bone radiographs, (2) investigate the effects of various parameters of the image acquisition system, as well as of the analysis schemes themselves, on performance and (3) evaluate the efficacies of the computerized schemes in predicting risk of fracture as compared to a current method of measurement [dual-energy x-ray absorptiometry (DXA)] using a large clinical database. Methods that are capable of analyzing bone structure of trabeculae, along with bone mass measures, are expected to give additional insight to the evaluation of osteoporosis and risk of fracture. Our scheme is unique in that it attempts to quantify automatically the risk of fracture from texture analyses (Fourier analysis, multi-fractal analysis, gradient analysis and artificial neural networks) of the bone trabecular pattern as present in high-resolution radiographs of the spine, hip and extremities. The potential significance of this research project lies in the fact that if the detection of high-risk patients could be accomplished with a reliable, low-dose, economical system, then screening for osteoporosis could be implemented more broadly, thereby allowing earlier treatment and a reduction in the risk of fracture.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR042739-02
Application #
2390534
Study Section
Special Emphasis Panel (ZRG7-DMG (01))
Project Start
1996-04-01
Project End
1999-03-31
Budget Start
1997-04-01
Budget End
1998-03-31
Support Year
2
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
225410919
City
Chicago
State
IL
Country
United States
Zip Code
60637
Vokes, Tamara; Lauderdale, Diane; Ma, Siu-Ling et al. (2010) Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility. J Bone Miner Res 25:56-63
Vokes, Tamara J; Pham, Ann; Wilkie, Joel et al. (2008) Reproducibility and sources of variability in radiographic texture analysis of densitometric calcaneal images. J Clin Densitom 11:211-20
Wilkie, Joel R; Giger, Maryellen L; Engh Sr, Charles A et al. (2008) Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis. Acad Radiol 15:176-85
Wilkie, Joel R; Giger, Maryellen L; Chinander, Michael R et al. (2008) Temporal radiographic texture analysis in the detection of periprosthetic osteolysis. Med Phys 35:377-87
Vokes, T J; Giger, M L; Chinander, M R et al. (2006) Radiographic texture analysis of densitometer-generated calcaneus images differentiates postmenopausal women with and without fractures. Osteoporos Int 17:1472-82
Vokes, Tamara J; Gillen, Daniel L; Lovett, Jeanne et al. (2005) Comparison of T-scores from different skeletal sites in differentiating postmenopausal women with and without prevalent vertebral fractures. J Clin Densitom 8:206-15
Wilkie, Joel R; Giger, Maryellen L; Chinander, Michael R et al. (2004) Investigation of physical image quality indices of a bone densitometry system. Med Phys 31:873-81
Wilkie, Joel R; Giger, Maryellen L; Chinander, Michael R et al. (2004) Comparison of radiographic texture analysis from computed radiography and bone densitometry systems. Med Phys 31:882-91
Vokes, Tamara J; Dixon, Larry B; Favus, Murray J (2003) Clinical utility of dual-energy vertebral assessment (DVA). Osteoporos Int 14:871-8
Chinander, M R; Giger, M L; Martell, J M et al. (2000) Computerized analysis of radiographic bone patterns: effect of imaging conditions on performance. Med Phys 27:75-85

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