Title
Author
DOI
Article Type
Special Issue
Volume
Issue
CBCT-based osseous severity is associated with lower mandibular ramus height but not symptom burden in pediatric and adolescent TMJ degenerative joint disease
1Department of Pediatric Dentistry, Dental and Life Science Institute, School of Dentistry, Pusan National University, 50612 Yangsan, Republic of Korea
2Department of Pediatric Dentistry, Dental Research Institute, Pusan National University Dental Hospital, 50612 Yangsan, Republic of Korea
3Department of Oral and Maxillofacial Radiology, Dental and Life Science Institute, School of Dentistry, Pusan National University, 50612 Yangsan, Republic of Korea
4Department of Oral and Maxillofacial Radiology, Dental Research Institute, Pusan National University Dental Hospital, 50612 Yangsan, Republic of Korea
5Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, 50612 Yangsan, Republic of Korea
6Department of Oral Medicine, Dental Research Institute, Pusan National University Dental Hospital, 50612 Yangsan, Republic of Korea
DOI: 10.22514/jofph.2026.076 Vol.40,Issue 6,November 2026 pp.125-138
Submitted: 16 August 2026 Accepted: 24 September 2026
Published: 12 November 2026
*Corresponding Author(s): Soo-Min Ok E-mail: oksoomin@pusan.ac.kr
Background: In pediatric and adolescent temporomandibular joint (TMJ) degenerative joint disease (DJD), subjective symptoms may not reliably reflect imaging-defined structural involvement. This study examined whether cone-beam computed tomography (CBCT)-based osseous severity burden is associated with reduced mandibular ramus height (Co-Go) and whether pain, functional, and psychosocial measures are associated with CBCT-based osseous severity burden. Methods: This retrospective cross-sectional study included 83 patients aged 6–18 years with CBCT-confirmed unilateral or bilateral TMJ DJD. Right- and left-side osseous severity scores were summed to calculate a cumulative bilateral severity burden. Cephalometric, TMJ morphometric, clinical, functional, and psychosocial variables were analyzed using correlation and age- and sex-adjusted regression models. Sensitivity analyses additionally adjusted for the A point-nasion-B-point (ANB) angle and the Frankfort mandibular plane angle (FMA). Results: Higher CBCT-based DJD severity burden was inversely associated with right, left, and mean Co-Go ramus height. In the age- and sex-adjusted model, each one-point increase in severity burden was associated with a 1.209-mm lower mean Co-Go ramus height (95% confidence interval, −1.979 to −0.439; p = 0.0025). After additional adjustment for the ANB angle and FMA, the association was attenuated but remained nominally significant (B = −0.639 mm; 95% confidence interval, −1.261 to −0.017; p = 0.0442). Pain intensity, jaw functional limitation, perceived stress, somatic symptoms, depression, and anxiety were not significantly associated with CBCT-based osseous severity burden. Conclusions: Within this cohort, greater cumulative CBCT-based osseous severity burden was associated with lower Co-Go ramus height. Because Co-Go includes the condylar region, this finding should be interpreted as a structural association within the condyle-ramus unit rather than evidence of impaired mandibular growth. Symptom burden did not consistently correspond to imaging-defined structural involvement, supporting the complementary interpretation of clinical and imaging findings.
Temporomandibular joint disorders; Degenerative joint disease; Osteoarthritis; Cone-beam computed tomography; Adolescent; Child; Mandibular ramus; Pain measurement; Psychosocial factors
Jonghyun Shin, Sinhee Lee, Jae Joon Hwang, Soo-min Ok. CBCT-based osseous severity is associated with lower mandibular ramus height but not symptom burden in pediatric and adolescent TMJ degenerative joint disease. Journal of Oral & Facial Pain and Headache. 2026; 40(6): 125-138. doi: 10.22514/jofph.2026.076
[1] Kalladka M, Quek S, Heir G, Eliav E, Mupparapu M, Viswanath A. Temporomandibular joint osteoarthritis: diagnosis and long-term conservative management: a topic review. The Journal of Indian Prosthodontic Society. 2014; 14: 6–15.
[2] Wang XD, Zhang JN, Gan YH, Zhou YH. Current understanding of pathogenesis and treatment of TMJ osteoarthritis. Journal of Dental Research. 2015; 94: 666–673.
[3] Schiffman E, Ohrbach R, Truelove E, Look J, Anderson G, Goulet JP, et al.; International RDC/TMD Consortium Network, International Association for Dental Research; Orofacial Pain Special Interest Group, International Association for the Study of Pain. 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 Group†. Journal of Oral & Facial Pain and Headache. 2014; 28: 6–27.
[4] Tanaka E, Detamore MS, Mercuri LG. Degenerative disorders of the temporomandibular joint: etiology, diagnosis, and treatment. Journal of Dental Research. 2008; 87: 296–307.
[5] Stoustrup P, Pedersen TK, Nørholt SE, Resnick CM, Abramowicz S. Interdisciplinary management of dentofacial deformity in juvenile idiopathic arthritis. Oral and Maxillofacial Surgery Clinics of North America. 2020; 32: 117–134.
[6] Rongo R, Michelotti A, Pedersen TK, Resnick CM, Stoustrup P. Management of temporomandibular joint arthritis in children and adolescents: an introduction for orthodontists. Orthodontics & Craniofacial Research. 2023; 26: 151–163.
[7] 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 Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics. 2009; 107: 844–860.
[8] Larheim TA, Abrahamsson AK, Kristensen M, Arvidsson LZ. Temporomandibular joint diagnostics using CBCT. Dentomaxillofacial Radiology. 2015; 44: 20140235.
[9] Koyama J, Nishiyama H, Hayashi T. Follow-up study of condylar bony changes using helical computed tomography in patients with temporomandibular disorder. Dentomaxillofacial Radiology. 2007; 36: 472–477.
[10] Palconet G, Ludlow JB, Tyndall DA, Lim PF. Correlating cone beam CT results with temporomandibular joint pain of osteoarthritic origin. Dentomaxillofacial Radiology. 2012; 41: 126–130.
[11] Mallya SM, Ahmad M, Cohen JR, Kaspo G, Ramesh A. Recommendations for imaging of the temporomandibular joint. Position statement from the American Academy of Oral and Maxillofacial Radiology and the American Academy of Orofacial Pain. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2022; 134: 639–648.
[12] Krisjane Z, Urtane I, Krumina G, Neimane L, Ragovska I. The prevalence of TMJ osteoarthritis in asymptomatic patients with dentofacial deformities: a cone-beam CT study. International Journal of Oral & Maxillofacial Surgery. 2012; 41: 690–695.
[13] Yap AU, Lei J, Zhang XH, Fu KY. TMJ degenerative joint disease: relationships between CBCT findings, clinical symptoms, and signs. Acta Odontologica Scandinavica. 2023; 81: 562–568.
[14] Wu M, Lai H, Almeida FT, Friesen R. Exploring the association between clinical features and CBCT findings in TMJ degenerative joint disease. Journal of Oral Rehabilitation. 2025; 52: 1043–1049.
[15] Dygas S, Szarmach I, Radej I, Chaqués-Asensi J. Influence of maxillofacial morphology on temporomandibular joint degenerative alterations and condyle position assessed by CBCT in class II malocclusion adult patients—a cross-sectional study. Journal of Clinical Medicine. 2025; 14: 4499.
[16] Alhammadi MS. Dimensional and positional characteristics of the temporomandibular joint of skeletal class II malocclusion with and without temporomandibular disorders. The Journal of Contemporary Dental Practice. 2022; 23: 1203–1210.
[17] Chae JM, Park JH, Tai K, Mizutani K, Uzuka S, Miyashita W, et al. Evaluation of condyle-fossa relationships in adolescents with various skeletal patterns using cone-beam computed tomography. The Angle Orthodontist. 2020; 90: 224–232.
[18] Pullinger AG, Seligman DA. Overbite and overjet characteristics of refined diagnostic groups of temporomandibular disorder patients. American Journal of Orthodontics and Dentofacial Orthopedics. 1991; 100: 401–415.
[19] Peck CC, Goulet JP, Lobbezoo F, Schiffman EL, Alstergren P, Anderson GC, et al. Expanding the taxonomy of the diagnostic criteria for temporomandibular disorders. Journal of Oral Rehabilitation. 2014; 41: 2–23.
[20] Dworkin SF, Sherman J, Mancl L, Ohrbach R, LeResche L, Truelove E. Reliability, validity, and clinical utility of the research diagnostic criteria for temporomandibular disorders Axis II Scales: depression, non-specific physical symptoms, and graded chronic pain. Journal of Orofacial Pain. 2002; 16: 207–220.
[21] Ohrbach R, Larsson P, List T. The jaw functional limitation scale: development, reliability, and validity of 8-item and 20-item versions. Journal of Orofacial Pain. 2008; 22: 219–230.
[22] Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. Journal of Health and Social Behavior. 1983; 24: 385–396.
[23] Kroenke K, Spitzer RL, Williams JB. The PHQ-15: validity of a new measure for evaluating the severity of somatic symptoms. Psychosomatic Medicine. 2002; 64: 258–266.
[24] Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001; 16: 606–613.
[25] Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine. 2006; 166: 1092–1097.
[26] Kroenke K, Spitzer RL, Williams JB, Löwe B. An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics. 2009; 50: 613–621.
[27] Song HJ, Choi HM, Shin BM, Kim YJ, Park MS, Kim C. Age-stratified analysis of temporomandibular joint osteoarthritis using cone-beam computed tomography. Imaging Science in Dentistry. 2024; 54: 71–80.
[28] Lee HJ, Lee S, Lee EJ, Song IJ, Kang BC, Lee JS, et al. A comparative study of the deviation of the menton on posteroanterior cephalograms and three-dimensional computed tomography. Imaging Science in Dentistry. 2016; 46: 33–38.
[29] Stahl de Castrillon F, Baccetti T, Franchi L, Grabowski R, Klink-Heckmann U, McNamara JA. Lateral cephalometric standards of Germans with normal occlusion from 6 to 17 years of age. Journal of Orofacial Orthopedics. 2013; 74: 236–256.
[30] Moldez MA, Sato K, Sugawara J, Mitani H. Linear and angular Filipino cephalometric norms according to age and sex. The Angle Orthodontist. 2006; 76: 800–805.
[31] Oh H, Middleton KM, Valiathan M, Duren DL, McNulty KP, McNamara JA Jr, et al. Craniofacial growth percentile curves: a clinical tool from the Craniofacial Growth Consortium Study. American Journal of Orthodontics and Dentofacial Orthopedics. 2026; 169: 720–734.
[32] Pamukçu H, Tunçer Nİ, Pelin İC, Zengin HY. Cephalometric mandibular dimensions in growing Turkish children: trends of change, sex-specific differences, and comparisons with published norms. Turkish Journal of Orthodontics. 2022; 35: 198–206.
[33] Jacob HB, Buschang PH. Mandibular growth comparisons of Class I and Class II division 1 skeletofacial patterns. The Angle Orthodontist. 2014; 84: 755–761.
[34] Haraguchi S, Takada K, Yasuda Y. Facial asymmetry in subjects with skeletal Class III deformity. The Angle Orthodontist. 2002; 72: 28–35.
[35] Emshoff R, Rudisch A, Bertram S. Clinical factors associated with radiographic severity of progressive temporomandibular joint osteoarthritis: a retrospective CBCT study. BMC Musculoskeletal Disorders. 2025; 26: 880.
Top