Conventional radiographic analysis of facet joint and condylar erosion in patients at the UCSG. Prevalence study

Main Article Content

Christian Steven Avila Aguirre
https://orcid.org/0009-0006-5910-1836
Dennisse Fernanda Diaz Rojas
https://orcid.org/0000-0002-1474-0232
Nicole Fabiana Diaz Rojas
https://orcid.org/0009-0009-3273-5590

Abstract

Introduction: The degenerative alterations commonly found in the TMJ include condylar flattening and erosion of its articular surface, changes that can be observed in imaging studies. Objective: To determine the prevalence of condylar facets and erosions observed in panoramic radiographs of patients treated at the dental clinic of the Catholic University of Santiago de Guayaquil during the B – 2024 term. Materials and Methods: A cross-sectional descriptive and analytical study with a qualitative-quantitative approach was conducted. The final sample size consisted of 274 digital panoramic radiographs obtained from the UCSG Radiology Laboratory, after obtaining prior permission. Results: The findings revealed that only 16.8% (n = 15) of the evaluated samples presented condylar erosions. When evaluating facets, it was observed that 41.6% exhibited bilateral condylar facets. Women presented higher percentages of both erosions and facets compared to men (p > 0.05). The group with condylar facets had a mean age of 34.45 years, while the group with condylar erosions had a mean age of 38.48 years. Conclusion: This study found that condylar facets, whether unilateral or bilateral, were significantly more frequent in the study population than condylar erosions. The results demonstrated a complete absence of coexistence between both evaluated conditions, suggesting a statistically significant inverse relationship.


 

Article Details

Section

Original Research

How to Cite

1.
Avila Aguirre CS, Diaz Rojas DF, Diaz Rojas NF. Conventional radiographic analysis of facet joint and condylar erosion in patients at the UCSG. Prevalence study. Revista Científica Especialidades Odontológicas UG [Internet]. 2026 Mar. 6 [cited 2026 Apr. 10];9(1):22-8. Available from: https://revistas.ug.edu.ec/index.php/eoug/article/view/3126

References

1. Gharge, Nikhil R., S Ashwinirani and Abhijeet R Sande. “Comparison of temporomandibular changes in edentulous and dentulous patients using digital panoramic imaging.” Journal of Oral Research and Review. 2020;12:17-22. https://doi.org/10.4103/jorr.jorr_18_19

2. Wojciechowska B, Szarmach A, Michcik A, Wach T, Drogoszewska B. Association between Clinical Manifestations in Temporomandibular Joint Disorders and Corresponding Radiographic Findings. J Clin Med. 2024;13(16):4886. https://doi.org/10.3390/jcm13164886

3. Kurnia SI, Himawan LS, Tanti I, Odang RW. Correlation between Chewing Preference and Condylar Asymmetry in Patients with Temporomandibular Disorders. Journal of Physics: Conference Series. 2018;1073(3):032014. https://iopscience.iop.org/article/10.1088/1742-6596/1073/3/032014

4. C Chung MK, Wang S, Alshanqiti I, Hu J, Ro JY. The degeneration-pain relationship in the temporomandibular joint: Current understandings and rodent models. Front Pain Res (Lausanne). 2023;4:1038808. https://doi.org/10.3389/fpain.2023.1038808

5. Emshoff R, Bertram A, Hupp L, Rudisch A. Condylar erosion is predictive of painful closed lock of the temporomandibular joint: a magnetic resonance imaging study. Head Face Med. 2021;17(1):40. https://doi.org/10.1186/s13005-021-00291-1

6. Cantor-Mora A, Fiori-Chíncaro GA. Evaluación del aplanamiento condilar en pacientes dentados y no dentados mediante radiografía panorámica. Rev Cient Odontol (Lima). 2020; 8(1): e006. https://doi.org/10.21142/2523-2754-0801-2020-006

7. Emshoff R, Bertram A, Hupp L, Rudisch A. A logistic analysis prediction model of TMJ condylar erosion in patients with TMJ arthralgia. BMC Oral Health. 2021;21(1):374. https://doi.org/10.1186/s12903-021-01687-w

8. Oliveira DFLM, Fernandes EE, Lopes SLPC, Rode SM, Oliveira W, Ertty E, Cardoso MA, Tien-Li A, Meloti F. Prevalence of condylar morphological changes in individuals with class II malocclusion. Braz Oral Res. 2024;38:e060. https://doi.org/10.1590/1807-3107bor-2024.vol38.0060

9. Arayasantiparb R, Mitrirattanakul S, Kunasarapun P, Chutimataewin H, Netnoparat P, Sae-Heng W. Association of radiographic and clinical findings in patients with temporomandibular joints osseous alteration. Clin Oral Investig. 2020;24(1):221-227. https://doi.org/10.1007/s00784-019-02945-6

10. Jeon KJ, Lee C, Choi YJ, Han SS. Analysis of three-dimensional imaging findings and clinical symptoms in patients with temporomandibular joint disorders. Quant Imaging Med Surg. 2021;11(5):1921-1931. https://doi.org/10.21037/qims-20-857

11. Cömert Kiliç S, Kiliç N, Sümbüllü MA. Temporomandibular joint osteoarthritis: cone beam computed tomography findings, clinical features, and correlations. Int J Oral Maxillofac Surg. 2015;44(10):1268-74. https://doi.org/10.1016/j.ijom.2015.06.023

12. Rodríguez López AKY, Valdez Palomino DJ. Estudio radiográfico de las alteraciones morfológicas de cóndilos mandibulares en una población adulta de Piura – Perú, 2017 – 2019. Repos Inst - UCV. 2020; Disponible en: https://repositorio.ucv.edu.pe/handle/20.500.12692/62837

13. 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(1):19. https://doi.org/10.1186/s40902-017-0117-1

14. Jung W, Lee K, Suh B. Comparison of Clinical and Radiological Characteristics of Temporomandibular Joint Osteoarthritis in Older and Young people . Open Dent J, 2022;16: e187421062112290. http://dx.doi.org/10.2174/18742106-v16-e2112290

15. Zhou J, Yang H, Li Q, Li W, Liu Y. Comparison of temporomandibular joints in relation to ages and vertical facial types in skeletal class II female patients: a multiple-cross-sectional study. BMC Oral Health. 2024;24(1):467. https://doi.org/10.1186/s12903-024-04219-4.

16. Vasegh Z, Safi Y, Azar MS, Ahsaie MG, Arianezhad SM. Assessment of bony changes in temporomandibular joint in patients using cone beam computed tomography - a cross sectional study. Head Face Med. 2023;19(1):47. https://doi.org/10.1186/s13005-023-00392-z

17. Canales, Patricio. Cofré, José. Collio, William. Descripción morfologica de la articulación temporomandibular observada en imágenes cone beam de un grupo de pacientes entre 8 y 83 años de la ciudad De Santiago, Chile. ResearchGate. Disponible en: https://doi.org/10.13140/RG.2.2.19147.23847

18. Koç N. Evaluation of osteoarthritic changes in the temporomandibular joint and their correlations with age: A retrospective CBCT study. Dent Med Probl. 2020;57(1):67-72. https://doi.org/10.17219/dmp/112392