Literature DB >> 25798412

Three-dimensional cone-beam computed tomography based comparison of condylar position and morphology according to the vertical skeletal pattern.

In-Young Park1, Ji-Hyun Kim1, Yang-Ho Park2.   

Abstract

OBJECTIVE: To compare condylar position and morphology among different vertical skeletal patterns.
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.
RESULTS: The hypodivergent and hyperdivergent groups showed significant differences in superior joint spaces, antero-posterior condyle width, medio-lateral condyle width, condyle head angle, and condylar shapes.
CONCLUSIONS: Condylar position and morphology vary according to vertical facial morphology. This relationship should be considered for predicting and establishing a proper treatment plan for temporomandibular diseases during orthodontic treatment.

Entities:  

Keywords:  Computed tomography; Condylar morphology; Condylar position; Temporomandibular joint

Year:  2015        PMID: 25798412      PMCID: PMC4367133          DOI: 10.4041/kjod.2015.45.2.66

Source DB:  PubMed          Journal:  Korean J Orthod            Impact factor:   1.372


INTRODUCTION

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.

MATERIALS AND METHODS

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.
Table 1

Mean age, SN-GoMe, ANB, Angle's classification of malocclusion and standard deviation (SD) for each group

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.

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).
Table 2

Definition of the variables

Figure 1

Sagittal measurements. 1, Anterior joint space; 2, superior joint space; 3, posterior joint spaces, 4, angulation of the posterior wall of articular tubercle; 5, depth of the mandibular fossa.

Figure 2

Measurements from the axial view. 1, Antero-posterior width; 2, medio-lateral width of the condyle; 3, the angle between the condylar process and the midsagittal plane.

Figure 3

Different shapes of condyles. A, Normal. B, Flattened. C, Osteophyte.

Figure 4

Condylar shape difference within the normal group. A, Oval. B, Round.

Statistical analysis

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).
Table 3

Interobserver reliability

R, Right; L, left; ICC, intraclass correlations coefficients.

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).

RESULTS

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).
Table 4

Measurements for the variables in all groups

Values are presented as mean ± standard deviation.

Group I, Hypodivergent; Group II, normodivergent; Group III, hyperdivergent; R, right; L, left.

*p < 0.05, analyzed by one-way ANOVA and level of significance (Sig) among groups.

Table 5

Mean difference and level of significance tested with post-hoc test

Group I, Hypodivergent; Group II, normodivergent; Group III, hyperdivergent; R, right; L, left; NS, not significant.

*p < 0.05.

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).
Table 6

Distribution of condylar shape in each group

Values are presented as number (%).

Group I, Hypodivergent; Group II, normodivergent; Group III, hyperdivergent.

Table 7

Condylar shape distribution within normal group

Values are presented as number (%).

Group I, Hypodivergent; Group II, normodivergent; Group III, hyperdivergent.

DISCUSSION

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.

CONCLUSION

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.
  30 in total

1.  Detectability of anterior displacement of the articular disk in the temporomandibular joint on helical computed tomography: the value of open mouth position.

Authors:  T Hayashi; J Ito; J Koyama; A Hinoki; F Kobayashi; Y Torikai; Y Hiruma
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  1999-07

2.  Comparison of condylar position in hyperdivergent and hypodivergent facial skeletal types.

Authors:  R A Girardot
Journal:  Angle Orthod       Date:  2001-08       Impact factor: 2.079

3.  Evaluation of internal derangement of the temporomandibular joint by panoramic radiographs compared with magnetic resonance imaging.

Authors:  Sug-Joon Ahn; Tae-Woo Kim; Dong-Yul Lee; Dong-Seok Nahm
Journal:  Am J Orthod Dentofacial Orthop       Date:  2006-04       Impact factor: 2.650

4.  Radiographic examination of the temporomandibular joint using cone beam computed tomography.

Authors:  K Tsiklakis; K Syriopoulos; H C Stamatakis
Journal:  Dentomaxillofac Radiol       Date:  2004-05       Impact factor: 2.419

5.  Measurement accuracy of temporomandibular joint space in Promax 3-dimensional cone-beam computerized tomography images.

Authors:  Zhi-ling Zhang; Jun-ge Cheng; Gang Li; Ji-zong Zhang; Zu-yan Zhang; Xu-Chen Ma
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2012-04-06

6.  Variations in skeletal and dental patterns in patients with structural and functional alterations of the temporomandibular joint: a preliminary report.

Authors:  H G Stringert; F W Worms
Journal:  Am J Orthod       Date:  1986-04

7.  Tomographic assessment of temporomandibular joints in patients with malocclusion.

Authors:  J T Cohlmia; J Ghosh; P K Sinha; R S Nanda; G F Currier
Journal:  Angle Orthod       Date:  1996       Impact factor: 2.079

8.  Computed tomography evaluation of temporomandibular joint alterations in patients with class II division 1 subdivision malocclusions: condyle-fossa relationship.

Authors:  Robert Willer Farinazzo Vitral; Carlos de Souza Telles; Marcelo Reis Fraga; Roberto Sotto Maior Fortes de Oliveira; Orlando Motohiro Tanaka
Journal:  Am J Orthod Dentofacial Orthop       Date:  2004-07       Impact factor: 2.650

9.  Correlation between articular eminence steepness measured with cone-beam computed tomography and clinical dysfunction index in patients with temporomandibular joint dysfunction.

Authors:  Shoaleh Shahidi; Mahroo Vojdani; Maryam Paknahad
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2013-07

10.  Assessing joint space and condylar position in the people with normal function of temporomandibular joint with cone-beam computed tomography.

Authors:  Zahra Dalili; Nasim Khaki; Seyed Javad Kia; Fatemeh Salamat
Journal:  Dent Res J (Isfahan)       Date:  2012-09
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  16 in total

1.  Correlation between condylar position and different sagittal skeletal facial types.

Authors:  Maryam Paknahad; Shoaleh Shahidi; Hajar Abbaszade
Journal:  J Orofac Orthop       Date:  2016-06-29       Impact factor: 1.938

2.  Mandibular ramus height and condyle distance asymmetries in individuals with different facial growth patterns: a cone-beam computed tomography study.

Authors:  Christian Reis Lemes; Carolina Fernandes Tozzi; Saulo Gribel; Bruno Frazão Gribel; Giovana Cherubini Venezian; Caroline do Carmo Menezes; William Custodio
Journal:  Surg Radiol Anat       Date:  2020-09-23       Impact factor: 1.246

3.  Evaluation of condyle-fossa relationships in adolescents with various skeletal patterns using cone-beam computed tomography.

Authors:  Jong-Moon Chae; Jae Hyun Park; Kiyoshi Tai; Kyosuke Mizutani; Satoshi Uzuka; Wataru Miyashita; Hye Young Seo
Journal:  Angle Orthod       Date:  2019-10-22       Impact factor: 2.079

4.  Comparison of condylar size among different anteroposterior and vertical skeletal patterns using cone-beam computed tomography.

Authors:  Atsushi Hasebe; Tetsutaro Yamaguchi; Takatoshi Nakawaki; Yu Hikita; Koushu Katayama; Koutaro Maki
Journal:  Angle Orthod       Date:  2018-11-26       Impact factor: 2.079

5.  [Cone-beam CT evaluation of temporomandibular joint in skeletal class Ⅱ female adolescents with different vertical patterns].

Authors:  J Zhou; Y Liu
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-12-29

6.  Cone-beam evaluation of pharyngeal airway space in adult skeletal Class II patients with different condylar positions.

Authors:  Jintao Xu; Ruonan Sun; Linna Wang; Xiaoying Hu
Journal:  Angle Orthod       Date:  2018-11-20       Impact factor: 2.079

7.  Comprehensive three-dimensional positional and morphological assessment of the temporomandibular joint in skeletal Class II patients with mandibular retrognathism in different vertical skeletal patterns.

Authors:  Saba Ahmed Al-Hadad; Enas Senan ALyafrusee; Abbas Ahmed Abdulqader; Waseem Saleh Al-Gumaei; Rana A A M Al-Mohana; Liling Ren
Journal:  BMC Oral Health       Date:  2022-04-28       Impact factor: 3.747

8.  Computed tomography assessment of temporomandibular joint position and dimensions in patients with class II division 1 and division 2 malocclusions.

Authors:  Hande Gorucu-Coskuner; Semra Ciger
Journal:  J Clin Exp Dent       Date:  2017-03-01

9.  Reliability of cone-beam computed tomography for temporomandibular joint analysis.

Authors:  Hande Gorucu-Coskuner; Ezgi Atik; Hakan El
Journal:  Korean J Orthod       Date:  2019-03-19       Impact factor: 1.372

10.  Comparative cone-beam computed tomography evaluation of temporomandibular joint position and morphology in female patients with skeletal class II malocclusion.

Authors:  Min Lin; Yifei Xu; Hao Wu; Haixia Zhang; Shuang Wang; Kun Qi
Journal:  J Int Med Res       Date:  2019-12-27       Impact factor: 1.671

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