Multiparametric 3-D analysis of bone and joint space width at the knee from weight bearing computed tomography

• Published in: Osteoarthritis imaging 2022-06, Vol.2 (2), p.100069-100069, Article 100069
• Main Authors: Turmezei, Tom D, Low, Samantha B, Rupret, Simon, Treece, Graham M, Gee, Andrew H, MacKay, James W, Lynch, John A, Poole, Kenneth ES, Segal, Neil A
• Format: Article
• Language: English
• Subjects: Computed tomography; joint space width; knee osteoarthritis; Radiology/Diagnostic Imaging; subchondral bone; test-retest repeatability; weight bearing
• ISSN: 2772-6541; 2772-6541
• DOI: 10.1016/j.ostima.2022.100069

AbstractObjectiveComputed tomography (CT) can deliver multiple parameters relevant to osteoarthritis. In this study we demonstrate that a 3-D multiparametric approach at the weight bearing knee with cone beam CT is feasible, can include multiple parameters from across the joint space, and can reveal stronger relationships with disease status in combination. Design33 participants with knee weight bearing CT (WBCT) were analysed with joint space mapping and cortical bone mapping to deliver joint space width (JSW), subchondral bone plate thickness, endocortical thickness, and trabecular attenuation at both sides of the joint. All data were co-localised to the same canonical surface. Statistical parametric mapping 38 (SPM) was applied in uni- and multivariate models to demonstrate significant dependence of parameters on Kellgren & Lawrence grade (KLG). Correlation between JSW and bony parameters and 2-week test-retest repeatability were also calculated. ResultsSPM revealed that the central-to-posterior medial tibiofemoral joint space was significantly narrowed by up to 0.5 mm with significantly higher tibial trabecular attenuation up to 50 units for each increment in KLG as single features, and in a wider distribution when combined (p