Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture
Objective: To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods: We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years)...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
John Wiley & Sons
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/15353 |
| _version_ | 1848748870285131776 |
|---|---|
| author | Woloszynski, Tomasz Podsiadlo, Pawel Stachowiak, Gwidon Kurzynski, M. Lohmander, L. Englund, M. |
| author_facet | Woloszynski, Tomasz Podsiadlo, Pawel Stachowiak, Gwidon Kurzynski, M. Lohmander, L. Englund, M. |
| author_sort | Woloszynski, Tomasz |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Objective: To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods: We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results: The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion: We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. e predictive ability of the system needs to be further validated. |
| first_indexed | 2025-11-14T07:11:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-15353 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:11:55Z |
| publishDate | 2012 |
| publisher | John Wiley & Sons |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-153532017-09-13T13:40:19Z Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture Woloszynski, Tomasz Podsiadlo, Pawel Stachowiak, Gwidon Kurzynski, M. Lohmander, L. Englund, M. controlled study knee radiography male area under the curve prediction tibia quantitative study priority journal logistic regression analysis human article bone structure body mass female joint cavity receiver operating characteristic trabecular bone EMTREE medical terms: adult major clinical study disease course anisotropy knee osteoarthritis Objective: To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods: We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results: The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion: We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. e predictive ability of the system needs to be further validated. 2012 Journal Article http://hdl.handle.net/20.500.11937/15353 10.1002/art.33410 John Wiley & Sons unknown |
| spellingShingle | controlled study knee radiography male area under the curve prediction tibia quantitative study priority journal logistic regression analysis human article bone structure body mass female joint cavity receiver operating characteristic trabecular bone EMTREE medical terms: adult major clinical study disease course anisotropy knee osteoarthritis Woloszynski, Tomasz Podsiadlo, Pawel Stachowiak, Gwidon Kurzynski, M. Lohmander, L. Englund, M. Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title | Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title_full | Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title_fullStr | Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title_full_unstemmed | Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title_short | Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| title_sort | prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture |
| topic | controlled study knee radiography male area under the curve prediction tibia quantitative study priority journal logistic regression analysis human article bone structure body mass female joint cavity receiver operating characteristic trabecular bone EMTREE medical terms: adult major clinical study disease course anisotropy knee osteoarthritis |
| url | http://hdl.handle.net/20.500.11937/15353 |