Abstract
Methods
Diagnostic cone-beam computed tomography images of 60 adult patients (120 temporomandibular joints) who visited the orthodontic clinic of Hallym University Sacred Heart Hospital were reviewed. The subjects were divided into three equal groups according to the mandibular plane angle: hypodivergent, normodivergent, and hyperdivergent groups. Morphology of the condyle and mandibular fossa and condylar position were compared among the groups.
Condylar position and morphology are important features for temporomandibular joint (TMJ)-oriented orthodontic treatment planning. Orthodontic diagnosis, treatment, and therapeutic responses are also dependent on the skeletal pattern.1,2 Whether the occlusal relationship affects the TMJ is controversial.3 The shape of the condyle and mandibular fossa has been reported to differ according to the type of malocclusion,3,4,5 but other studies have not demonstrated this relationship.3,6,7 The vertical facial pattern is known to influence the maximum occlusal force and masticatory muscle activities.8 Stringert and Worms9 showed higher prevalence of internal derangement in patients with the hyperdivergent skeletal pattern. Relationships between the sagittal skeletal pattern and condylar position have been defined in several studies using lateral cephalometric radiographs and tomograms.10,11,12 Cohlmia et al.11 found that patients with skeletal Class III malocclusion tend to have more anteriorly positioned condyles than those with skeletal Class I malocclusion, but no difference in condylar position was discovered between Class I and Class II malocclusions. Burke et al.10 also found no correlation between facial morphology and anteroposterior condylar position in patients with skeletal Class II malocclusion.
Diagnosis of temporomandibular disorders (TMDs) is complicated and requires comprehensive clinical and radiographic analyses.13 The complex structure of the TMJ makes radiographic examination difficult, and accurate diagnosis requires several types of radiographic images. Cone-beam computed tomography (CBCT) allows high-resolution imaging of TMJ structures with less radiation exposure than conventional spiral CT.14,15,16,17
Numerous efforts have been made to define relationships between facial morphology and condylar characteristics through multiplanar CT examinations of the condyle. 1,2,3,4,18,19,20 Several studies have emphasized the importance of condylar shape and volume for long-term stability after orthodontic treatment.21,22 Saccucci et al.21 reported that condylar volume and surface are correlated with mandibular divergence in young adults. However, little is known about the association between the vertical skeletal pattern and condylar position and morphology.
The purpose of this study was to compare condylar position and morphology among different vertical skeletal patterns. The null hypothesis was that these features do not differ considerably according to the vertical skeletal pattern.
Diagnostic CBCT images of 60 adult patients (120 TMJs) who visited the orthodontic clinic of Hallym University Sacred Heart Hospital were reviewed. The study protocol was approved by the Hospital Ethics Review Committee (IRB 2013-1130).
The subjects were 34 women and 26 men aged 20-40 years (mean age, 25.52±4.97 years) (Table 1). Patients were included if they did not have missing teeth except third molars, severe crossbite or openbite (overbite and overjet ≥ 0 mm), functional mandibular deviation due to occlusal interference, previous orthodontic treatment, clinical signs and symptoms of TMDs, previous TMD treatment, evident dental or facial asymmetry, congenital skeletal deformity such as cleft lip and palate, and history of trauma or general condition affecting the TMJ.
For imaging, the patient was seated with the head in the natural head position, eyes focused on a point at the same level in a mirror, and teeth in centric occlusion (maximum intercuspation). All scans were acquired with an Alphard VEGAunit (Asahi Roentgen, Kyoto, Japan) set at 80 kV, 5 mAs, 15-second scan time, and 0.39-mm3 voxel size. The exposure field was 200 mm in diameter and 179 mm in height. Images were transformed to DICOM (digital imaging and communications in medicine) format and three-dimensionally reconstructed and analyzed through OnDemand 3D Application software (Cybermed, Seoul, Korea).
The images were saved in C-mode and reoriented along the Frankfort horizontal plane on the basis of the right porion, right orbitale, and left orbitale. Both three-dimensional (3D) and cephalometric analyses were performed. The subjects were divided into three equal groups according to the angle formed by Sella-Nasion plane and mandibular plane (SN-GoMe): hypodivergent (SN-GoMe, < 22°), normodivergent (SN-GoMe, 22°-36°), and hyperdivergent (SN-GoMe, >36°) groups.
One orthodontist performed all the measurements as described by Rodrigues et al.4,23 Sagittal slices showing a clear view of the condyle and mandibular fossa with a clear continuous line of cortical bone were examined. The position of each condyle was determined by measuring the anterior, superior, and posterior joint spaces (Table 2, Figure 1). Depth of the mandibular fossa and angulation of the posterior wall of the articular tubercle were measured for identifying fossa morphology (Figure 1). Axial condylar morphology was assessed by measuring the maximum medio-lateral width, maximum antero-posterior width, and angle between the condylar axis and the midsagittal plane (condyle head angle) (Figure 2). Sagittal condylar morphology was classified as normal, flattened osteophytic, and unclassified (Figure 3); normally shaped condyles were subclassified as oval and round on the basis of their shape in the axial view (Figure 4).
Another observer performed the same measurements in 30 randomly selected subjects, 10 from each group, to assess interobserver reliability. The measurements were repeated by both the observers after 2 weeks to assess intraobserver reliability. Pearson (intraobserver reliability) and intraclass (interobserver reliability) correlations were above 0.9 in all cases (Table 3).
One-way analysis of variance (ANOVA) and Tukey post-hoc test were used to compare mean values among the groups. The results were analyzed by using IBM SPSS Statistics software (release version 20.0; IBM Co., Armonk, NY, USA).
Significant differences in right and left superior joint spaces, antero-posterior condyle width, medio-lateral condyle width, and condyle head angle were found between the hypodivergent and the hyperdivergent groups (Tables 4 and 5). The hypodivergent and normodivergent groups showed a significant difference only in left condyle head angle (Tables 4 and 5). In the normodivergent and hyperdivergent groups, right antero-posterior condyle width and condyle head angle were significantly different (Tables 4 and 5).
Findings of sagittal condylar morphology are shown in Table 6. The hypodivergent and hyperdivergent groups showed differences in normally shaped condyles: the hyperdivergent group had a large proportion of round condyles, whereas the hypodivergent group commonly had oval condyles (Table 7, Figure 4).
Abnormal condylar morphology was common in the hyperdivergent and hypodivergent groups. In particular, hyperdivergent facial morphology was associated with smaller antero-posterior and medio-lateral condyle widths as well as narrower condyle head angle. Further, round condyles were found in patients with hyperdivergent facial morphology, whereas oval condyles were noted in those with hypodivergent facial morphology. Therefore, the null hypothesis was rejected.
The significantly smaller superior joint space in the hyperdivergent group indicates that the hyperdivergent skeletal pattern is associated with more superiorly positioned condyles. Similarly, Burke et al.10 found reduced superior joint space and posteriorly inclined condyles in preadolescent patients with skeletal Class II malocclusion and hyperdivergent tendency. They believe that this tendency reflects reduced condylar tissue, predicts decreased condylar growth potential, and eventually results in increased anterior facial height during growth and development of the nasomaxillary and dentoalveolar complex.10 The absence of a significant difference in anterior and posterior joint spaces indicate a lack of correlation between vertical facial morphology and anteroposterior condylar position.
CBCT is a powerful tool for TMD diagnosis.13,17,24 CBCT scans provide multiplanar images of the condyle and surrounding structures and can be three-dimensionally reconstructed, allowing analysis of TMJ morphology, position, and dynamics.14,25,26,27 They enable easier and more accurate visualization of complicated anatomic structures with less radiation exposure, lower operating cost, and shorter scan time than conventional spiral CT.9,10,14,26,28 In the present study, an expert orthodontist measured all the variables by using CBCT software. The software simultaneously provides sagittal, axial, coronal, and 3D reconstructed views of every landmark; measurement errors caused by inaccurate determination of key anatomic points are therefore minimized.24
The study excluded patients with TMJ dysfunction or degenerative joint diseases who had received treatment. Those without TMD history were included depending on absence of TMD symptoms. Subject selection may therefore be a limitation: the patients were not radiographically screened, so asymptomatic patients with degenerative joint diseases could have been included. Osteoarthritis, a degenerative change in joints is radiographically characterized by subcortical cysts, surface erosion, osteophytes, and/or generalized sclerosis.29 In the present study, 9 condyles showed osteophytes (5 and 4 in the hypodivergent and hyperdivergent groups, respectively). Further, 24 condyles were flattened, including 8, 4, and 12 condyles in the hypodivergent, normodivergent, and hyperdivergent groups, respectively. Because these patients did not present symptoms such as pain, clicking, and limited mouth opening, they were not excluded. Notably, osteoarthritis cannot be diagnosed by CBCT alone. Additional diagnostic tools, such as magnetic resonance imaging and clinical examination, are required for accurate diagnosis and proper treatment.
Patients requiring orthodontic treatment often have TMDs.27,30,31 Therefore, orthodontic treatment should be aimed at not only correcting tooth alignment and occlusal relationships but also normalizing condylar position. Consideration of condylar morphology and position as well as centric relation during treatment planning would yield better outcomes.
Patients with the hyperdivergent skeletal pattern tend to have smaller and more superiorly positioned condyles than those with the hypodivergent skeletal pattern. They also have narrower angle between the midsagittal plane and the condylar axis. Therefore, condylar position and morphology vary according to vertical facial morphology. This relationship should be considered for predicting and treating TMDs during orthodontic treatment.
Figures and Tables
Table 1
Values are presented as number only, mean±standard deviation, or number (%).
Group I, Hypodivergent; Group II, normodivergent; Group III, hyperdivergent.
SN-GoMe, angle formed by Sella-Nasion plane and mandibular plane; ANB, A point-Nasion-B point angle to measure the relative position of maxilla to mandible.
References
1. Girardot RA Jr. Comparison of condylar position in hyperdivergent and hypodivergent facial skeletal types. Angle Orthod. 2001; 71:240–246.
2. Ponces MJ, Tavares JP, Lopes JD, Ferreira AP. Comparison of condylar displacement between three biotypological facial groups by using mounted models and a mandibular position indicator. Korean J Orthod. 2014; 44:312–319.
3. Vitral RW, Telles Cde S, Fraga MR, de Oliveira RS, Tanaka OM. Computed tomography evaluation of temporomandibular joint alterations in patients with class II division 1 subdivision malocclusions: condyle-fossa relationship. Am J Orthod Dentofacial Orthop. 2004; 126:48–52.
4. Rodrigues AF, Fraga MR, Vitral RW. Computed tomography evaluation of the temporomandibular joint in Class I malocclusion patients: condylar symmetry and condyle-fossa relationship. Am J Orthod Dentofacial Orthop. 2009; 136:192–198.
5. Schudy FF. Treatment of adult midline deviation by condylar repositioning. J Clin Orthod. 1996; 30:343–347.
6. Matsumoto MA, Bolognese AM. Radiographic morphology of the temporomandibular joint related to occlusal characteristics. Braz Dent J. 1994; 5:115–120.
7. Burley M. An examination of the relation between the radiographic appearance of the temporomandibular joint and some features of the occlusion. Br Dent J. 1961; 110:195–200.
8. Custodio W, Gomes SG, Faot F, Garcia RC, Del Bel Cury AA. Occlusal force, electromyographic activity of masticatory muscles and mandibular flexure of subjects with different facial types. J Appl Oral Sci. 2011; 19:343–349.
9. Stringert HG, Worms FW. Variations in skeletal and dental patterns in patients with structural and functional alterations of the temporomandibular joint: a preliminary report. Am J Orthod. 1986; 89:285–297.
10. Burke G, Major P, Glover K, Prasad N. Correlations between condylar characteristics and facial morphology in Class II preadolescent patients. Am J Orthod Dentofacial Orthop. 1998; 114:328–336.
11. Cohlmia JT, Ghosh J, Sinha PK, Nanda RS, Currier GF. Tomographic assessment of temporomandibular joints in patients with malocclusion. Angle Orthod. 1996; 66:27–35.
12. Gianelly AA, Petras JC, Boffa J. Condylar position and Class II deep-bite, no-overjet malocclusions. Am J Orthod Dentofacial Orthop. 1989; 96:428–432.
13. Naeije M, Te Veldhuis AH, Te Veldhuis EC, Visscher CM, Lobbezoo F. Disc displacement within the human temporomandibular joint: a systematic review of a 'noisy annoyance'. J Oral Rehabil. 2013; 40:139–158.
14. Dalili Z, Khaki N, Kia SJ, Salamat F. Assessing joint space and condylar position in the people with normal function of temporomandibular joint with cone-beam computed tomography. Dent Res J (Isfahan). 2012; 9:607–612.
15. Tsiklakis K, Syriopoulos K, Stamatakis HC. Radiographic examination of the temporomandibular joint using cone beam computed tomography. Dentomaxillofac Radiol. 2004; 33:196–201.
16. Hayashi T, Ito J, Koyama J, Hinoki A, Kobayashi F, Torikai Y, et al. Detectability of anterior displacement of the articular disk in the temporomandibular joint on helical computed tomography: the value of open mouth position. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1999; 88:106–111.
17. Ikeda K, Kawamura A. Assessment of optimal condylar position with limited cone-beam computed tomography. Am J Orthod Dentofacial Orthop. 2009; 135:495–501.
18. Seren E, Akan H, Toller MO, Akyar S. An evaluation of the condylar position of the temporomandibular joint by computerized tomography in Class III malocclusions: a preliminary study. Am J Orthod Dentofacial Orthop. 1994; 105:483–488.
19. Vitral RW, Telles Cde S. Computed tomography evaluation of temporomandibular joint alterations in class II Division 1 subdivision patients: condylar symmetry. Am J Orthod Dentofacial Orthop. 2002; 121:369–375.
20. Hilgers ML, Scarfe WC, Scheetz JP, Farman AG. Accuracy of linear temporomandibular joint measurements with cone beam computed tomography and digital cephalometric radiography. Am J Orthod Dentofacial Orthop. 2005; 128:803–811.
21. Saccucci M, Polimeni A, Festa F, Tecco S. Do skeletal cephalometric characteristics correlate with condylar volume, surface and shape? A 3D analysis. Head Face Med. 2012; 8:15.
22. Katsavrias EG. Morphology of the temporomandibular joint in subjects with Class II Division 2 malocclusions. Am J Orthod Dentofacial Orthop. 2006; 129:470–478.
23. Rodrigues AF, Fraga MR, Vitral RW. Computed tomography evaluation of the temporomandibular joint in Class II Division 1 and Class III malocclusion patients: condylar symmetry and condyle-fossa relationship. Am J Orthod Dentofacial Orthop. 2009; 136:199–206.
24. Shahidi S, Vojdani M, Paknahad M. Correlation between articular eminence steepness measured with cone-beam computed tomography and clinical dysfunction index in patients with temporomandibular joint dysfunction. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013; 116:91–97.
25. Ahn SJ, Kim TW, Lee DY, Nahm DS. Evaluation of internal derangement of the temporomandibular joint by panoramic radiographs compared with magnetic resonance imaging. Am J Orthod Dentofacial Orthop. 2006; 129:479–485.
26. Zhang ZL, Cheng JG, Li G, Zhang JZ, Zhang ZY, Ma XC. Measurement accuracy of temporomandibular joint space in Promax 3-dimensional cone-beam computerized tomography images. Oral Surg Oral Med Oral Pathol Oral Radiol. 2012; 114:112–117.
27. Yang IH, Moon BS, Lee SP, Ahn SJ. Skeletal differences in patients with temporomandibular joint disc displacement according to sagittal jaw relationship. J Oral Maxillofac Surg. 2012; 70:e349–e360.
28. 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; 107:844–860.
29. Nah KS. Condylar bony changes in patients with temporomandibular disorders: a CBCT study. Imaging Sci Dent. 2012; 42:249–253.