3D superimposition and understanding temporomandibular joint arthritis.

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.

journal_name

Orthod Craniofac Res

authors

Cevidanes LH,Gomes LR,Jung BT,Gomes MR,Ruellas AC,Goncalves JR,Schilling J,Styner M,Nguyen T,Kapila S,Paniagua B

doi

10.1111/ocr.12070

subject

Has Abstract

pub_date

2015-04-01 00:00:00

pages

18-28

eissn

1601-6335

issn

1601-6343

journal_volume

18 Suppl 1

pub_type

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