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1.
Orthod Craniofac Res ; 18 Suppl 1: 18-28, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25865530

ABSTRACT

OBJECTIVES: To investigate the 3D morphological variations in 169 temporomandibular ioint (TMJ) condyles, using novel imaging statistical modeling approaches. SETTING AND SAMPLE POPULATION: The Department of Orthodontics and Pediatric Dentistry at the University of Michigan. Cone beam CT scans were acquired from 69 subjects with long-term TMJ osteoarthritis (OA, mean age 39.1±15.7 years), 15 subjects at initial consult diagnosis of OA (mean age 44.9±14.8 years), and seven healthy controls (mean age 43±12.4 years). MATERIALS AND METHODS: 3D surface models of the condyles were constructed, and homologous correspondent points on each model were established. The statistical framework included Direction-Projection-Permutation (DiProPerm) for testing statistical significance of the differences between healthy controls and the OA groups determined by clinical and radiographic diagnoses. RESULTS: Condylar morphology in OA and healthy subjects varied widely with categorization from mild to severe bone degeneration or overgrowth. DiProPerm statistics supported a significant difference between the healthy control group and the initial diagnosis of OA group (t=6.6, empirical p-value=0.006) and between healthy and long-term diagnosis of OA group (t=7.2, empirical p-value=0). Compared with healthy controls, the average condyle in OA subjects was significantly smaller in all dimensions, except its anterior surface, even in subjects with initial diagnosis of OA. CONCLUSION: This new statistical modeling of condylar morphology allows the development of more targeted classifications of this condition than previously possible.


Subject(s)
Cone-Beam Computed Tomography/statistics & numerical data , Image Processing, Computer-Assisted/statistics & numerical data , Imaging, Three-Dimensional/statistics & numerical data , Osteoarthritis/diagnostic imaging , Temporomandibular Joint Disorders/diagnostic imaging , Adult , Anatomic Landmarks/diagnostic imaging , Ankylosis/diagnostic imaging , Bone Resorption/diagnostic imaging , Computer Simulation/statistics & numerical data , Humans , Mandibular Condyle/diagnostic imaging , Middle Aged , Models, Anatomic , Principal Component Analysis , Temporomandibular Joint/diagnostic imaging , Young Adult
2.
Osteoarthritis Cartilage ; 22(10): 1657-67, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25278075

ABSTRACT

OBJECTIVE: To assess 3D morphological variations and local and systemic biomarker profiles in subjects with a diagnosis of temporomandibular joint osteoarthritis (TMJ OA). DESIGN: Twenty-eight patients with long-term TMJ OA (39.9 ± 16 years), 12 patients at initial diagnosis of OA (47.4 ± 16.1 years), and 12 healthy controls (41.8 ± 12.2 years) were recruited. All patients were female and had cone beam CT scans taken. TMJ arthrocentesis and venipuncture were performed on 12 OA and 12 age-matched healthy controls. Serum and synovial fluid levels of 50 biomarkers of arthritic inflammation were quantified by protein microarrays. Shape Analysis MANCOVA tested statistical correlations between biomarker levels and variations in condylar morphology. RESULTS: Compared with healthy controls, the OA average condyle was significantly smaller in all dimensions except its anterior surface, with areas indicative of bone resorption along the articular surface, particularly in the lateral pole. Synovial fluid levels of ANG, GDF15, TIMP-1, CXCL16, MMP-3 and MMP-7 were significantly correlated with bone apposition of the condylar anterior surface. Serum levels of ENA-78, MMP-3, PAI-1, VE-Cadherin, VEGF, GM-CSF, TGFßb1, IFNγg, TNFαa, IL-1αa, and IL-6 were significantly correlated with flattening of the lateral pole. Expression levels of ANG were significantly correlated with the articular morphology in healthy controls. CONCLUSIONS: Bone resorption at the articular surface, particularly at the lateral pole was statistically significant at initial diagnosis of TMJ OA. Synovial fluid levels of ANG, GDF15, TIMP-1, CXCL16, MMP-3 and MMP-7 were correlated with bone apposition. Serum levels of ENA-78, MMP-3, PAI-1, VE-Cadherin, VEGF, GM-CSF, TGFß1, IFNγ, TNFα, IL-1α, and IL-6 were correlated with bone resorption.


Subject(s)
Inflammation Mediators/metabolism , Osteoarthritis/diagnostic imaging , Synovial Fluid/metabolism , Temporomandibular Joint Disorders/diagnostic imaging , Temporomandibular Joint/diagnostic imaging , Adult , Biomarkers/metabolism , Bone Resorption/diagnostic imaging , Bone Resorption/etiology , Case-Control Studies , Cone-Beam Computed Tomography , Female , Humans , Imaging, Three-Dimensional , Middle Aged , Osteoarthritis/complications , Temporomandibular Joint Disorders/complications , Young Adult
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