DOI QR코드

DOI QR Code

Age-stratified analysis of temporomandibular joint osteoarthritis using cone-beam computed tomography

  • Hee-Jeong Song (Department of Oral Medicine and Diagnosis, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University) ;
  • Hang-Moon Choi (Department of Oral and Maxillofacial Radiology, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University) ;
  • Bo-Mi Shin (Department of Dental Hygiene, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University) ;
  • Young-Jun Kim (Department of Oral Medicine and Diagnosis, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University) ;
  • Moon-Soo Park (Department of Oral Medicine and Diagnosis, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University) ;
  • Cheul Kim (Department of Oral Medicine and Diagnosis, Research Institute of Oral Science, College of Dentistry, Gangneung-Wonju National University)
  • Received : 2023.10.17
  • Accepted : 2024.01.08
  • Published : 2024.03.31

Abstract

Purpose: This study aimed to evaluate age-stratified radiographic features in temporomandibular joint osteoarthritis using cone-beam computed tomography. Materials and Methods: In total, 210 joints from 183 patients(144 females, 39 males, ranging from 12 to 88 years old with a mean age of 44.75±19.97 years) diagnosed with temporomandibular joint osteoarthritis were stratified by age. Mandibular condyle position and bony changes (flattening, erosion, osteophytes, subchondral sclerosis, and subchondral pseudocysts in both the condyle and articular eminence, thickening of the glenoid fossa, joint space narrowing, and joint loose bodies) were evaluated through cone-beam computed tomography. After adjusting for sex, the association between age groups and radiographic findings was analyzed using both a multiple regression model and a multinomial logistic regression model(α=0.05). Results: The prevalence of joint space narrowing and protruded condyle position in the glenoid fossa significantly increased with age (P<0.05). The risks of bony changes, including osteophytes and subchondral pseudocysts in the condyle; flattening, erosion, osteophyte, and subchondral sclerosis in the articular eminence; joint loose bodies; and thickening of the glenoid fossa, also significantly rose with increasing age (P<0.05). The number of radiographic findings increased with age; in particular, the increase was more pronounced in the temporal bone than in the mandibular condyle (P<0.05). Conclusion: Increasing age was associated with a higher frequency and greater diversity of bony changes in the temporal bone, as well as a protruded condyle position in the glenoid fossa, resulting in noticeable joint space narrowing in temporomandibular joint osteoarthritis.

Keywords

Acknowledgement

This study was supported by the 2021 Scientific Research Program (SR2102) of Gangneung-Wonju National University Dental Hospital.

References

  1. Perschbacher SE. Temporomandibular joint abnormalities. In: Mallya SM, Lam E WN. White and Pharoah's oral radiology: principles and interpretation. 8th ed. St. Louis: Elsevier; 2019. p. 576-606. 
  2. Koc N. Evaluation of osteoarthritic changes in the temporomandibular joint and their correlations with age: a retrospective CBCT study. Dent Med Probl 2020; 57: 67-72. 
  3. de Leeuw R, Boering G, Stegenga B, de Bont LG. Radiographic signs of temporomandibular joint osteoarthrosis and internal derangement 30 years after nonsurgical treatment. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1995; 79: 382-92. 
  4. Barghan S, Tetradis S, Mallya S. Application of cone beam computed tomography for assessment of the temporomandibular joints. Aust Dent J 2012; 57 Suppl 1: 109-18. 
  5. Alkhader M, Ohbayashi N, Tetsumura A, Nakamura S, Okochi K, Momin MA, et al. Diagnostic performance of magnetic resonance imaging for detecting osseous abnormalities of the temporomandibular joint and its correlation with cone beam computed tomography. Dentomaxillofac Radiol 2010; 39: 270-6. 
  6. Honey OB, Scarfe WC, Hilgers MJ, Klueber K, Silveira AM, Haskell BS, et al. Accuracy of cone-beam computed tomography imaging of the temporomandibular joint: comparisons with panoramic radiology and linear tomography. Am J Orthod Dentofacial Orthop 2007; 132: 429-38. 
  7. Jo JH, Park MW, Kim YK, Lee JY. The occurrence of degenerative change in the mandibular condyles of Korean patients with temporomandibular disorders. J Oral Med Pain 2011; 36: 53-63. 
  8. Alzahrani A, Yadav S, Gandhi V, Lurie AG, Tadinada A. Incidental findings of temporomandibular joint osteoarthritis and its variability based on age and sex. Imaging Sci Dent 2020; 50: 245-53. 
  9. Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med 2010; 26: 355-69. 
  10. van Saase JL, van Romunde LK, Cats A, Vandenbroucke JP, Valkenburg HA. Epidemiology of osteoarthritis: Zoetermeer survey. Comparison of radiological osteoarthritis in a Dutch population with that in 10 other populations. Ann Rheum Dis 1989; 48: 271-80. 
  11. Sacitharan PK. Ageing and osteoarthritis. Subcell Biochem 2019; 91: 123-59. 
  12. Shane Anderson A, Loeser RF. Why is osteoarthritis an age-related disease? Best Pract Res Clin Rheumatol 2010; 24: 15-26. 
  13. Jordan JM, Helmick CG, Renner JB, Luta G, Dragomir AD, Woodard J, et al. Prevalence of knee symptoms and radiographic and symptomatic knee osteoarthritis in African Americans and Caucasians: the Johnston County Osteoarthritis Project. J Rheumatol 2007; 34: 172-80. 
  14. Ding C, Cicuttini F, Scott F, Cooley H, Jones G. Association between age and knee structural change: a cross sectional MRI based study. Ann Rheum Dis 2005; 64: 549-55. 
  15. Dworkin SF, LeResche L. Research diagnostic criteria for temporomandibular disorders: review, criteria, examinations and specifications, critique. J Craniomandib Disord 1992; 6: 301-55. 
  16. Ahmad M, Hollender L, Anderson Q, Kartha K, Ohrbach R, Truelove EL, et al. Research diagnostic criteria for temporomandibular disorders (RDC/TMD): development of image analysis criteria and examiner reliability for image analysis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2009; 107: 844-60. 
  17. Greene MW, Hackney FL, Van Sickels JE. Arthroscopy of the temporomandibular joint: an anatomic perspective. J Oral Maxillofac Surg 1989; 47: 386-9. 
  18. Honda K, Larheim TA, Sano T, Hashimoto K, Shinoda K, Westesson PL. Thickening of the glenoid fossa in osteoarthritis of the temporomandibular joint. An autopsy study. Dentomaxillofac Radiol 2001; 30: 10-3. 
  19. Hansson T, Oberg T, Carlsson GE, Kopp S. Thickness of the soft tissue layers and the articular disk in the temporomandibular joint. Acta Odontol Scand 1977; 35: 77-83. 
  20. Schiffman E, Ohrbach R, Truelove E, Look J, Anderson G, Goulet JP, et al. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for clinical and research applications: recommendations of the International RDC/TMD Consortium Network* and Orofacial Pain Special Interest Groupdagger. J Oral Facial Pain Headache 2014; 28: 6-27. 
  21. Bae S, Park MS, Han JW, Kim YJ. Correlation between pain and degenerative bony changes on cone-beam computed tomography images of temporomandibular joints. Maxillofac Plast Reconstr Surg 2017; 39: 19. 
  22. Truelove E, Pan W, Look JO, Mancl LA, Ohrbach RK, Velly AM, et al. The research diagnostic criteria for temporomandibular disorders. III: validity of Axis I diagnoses. J Orofac Pain 2010; 24: 35-47. 
  23. Gynther GW, Tronje G, Holmlund AB. Radiographic changes in the temporomandibular joint in patients with generalized osteoarthritis and rheumatoid arthritis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1996; 81: 613-8. 
  24. Wiese M, Svensson P, Bakke M, List T, Hintze H, Petersson A, et al. Association between temporomandibular joint symptoms, signs, and clinical diagnosis using the RDC/TMD and radiographic findings in temporomandibular joint tomograms. J Orofac Pain 2008; 22: 239-51. 
  25. Cho BH, Jung YH. Osteoarthritic changes and condylar positioning of the temporomandibular joint in Korean children and adolescents. Imaging Sci Dent 2012; 42: 169-74. 
  26. Alexiou K, Stamatakis H, Tsiklakis K. Evaluation of the severity of temporomandibular joint osteoarthritic changes related to age using cone beam computed tomography. Dentomaxillofac Radiol 2009; 38: 141-7. 
  27. Bianchi J, Goncalves JR, de Oliveira Ruellas AC, Ashman LM, Vimort JB, Yatabe M, et al. Quantitative bone imaging biomarkers to diagnose temporomandibular joint osteoarthritis. Int J Oral Maxillofac Surg 2021; 50: 227-35. 
  28. Cevidanes LH, Hajati AK, Paniagua B, Lim PF, Walker DG, Palconet G, et al. Quantification of condylar resorption in temporomandibular joint osteoarthritis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2010; 110: 110-7.