Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture

• Published in: Arthritis & rheumatology (Hoboken, N.J.) Vol. 64; no. 3; pp. 688 - 695
• Main Authors: Woloszynski, T., Podsiadlo, P., Stachowiak, G. W., Kurzynski, M., Lohmander, L. S., Englund, M.
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.03.2012; Wiley; Wiley Subscription Services, Inc
• Subjects: Arthrography - methods; Biological and medical sciences; Clinical Medicine; Disease Progression; Diseases of the osteoarticular system; Female; Humans; Klinisk medicin; Knee; Knee Joint - diagnostic imaging; Knee Joint - pathology; Logistic Models; Male; Medical and Health Sciences; Medical sciences; Medicin och hälsovetenskap; Middle Aged; Miscellaneous. Osteoarticular involvement in other diseases; Osteoarthritis; Osteoarthritis, Knee - diagnosis; Osteoarthritis, Knee - diagnostic imaging; Osteoporosis; Predictive Value of Tests; ROC Curve; Tibia - diagnostic imaging; Tibia - pathology; Knee; Knee osteoarthritis; Prognosis; Radiodiagnosis; Diseases of the osteoarticular system; Rheumatology; Exploration; Texture; Radiography; Tibia; Arthropathy; Evolution; Degenerative disease; Spongious bone; Predictive factor; Osteoarthritis
• ISSN: 0004-3591; 2326-5191; 1529-0131; 1529-0131; 2326-5205
• DOI: 10.1002/art.33410

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. The predictive ability of the system needs to be further validated.