Literature DB >> 31819657

Cephalometric Measurements Of Non-Syndromic Oligodontia In Early Dental Age In A Japanese Population.

Hisayo Mayama1, Yukinori Kuwajima2, John D Da Silva3, Shahrzad Khorashadi2, R Frederick Lambert2,4, Yoshiki Ishida2, Shigemi Ishikawa-Nagai2, Hiroyuki Miura5, Kazuro Satoh1.   

Abstract

PURPOSE: Oligodontia significantly affects oral function and esthetics. Recognition of skeletal and dental patterns may aid in proper diagnosis and development of appropriate interventions. The aim of this study was to analyze skeletal and dental patterns for pre-adolescent patients with a diagnosis of oligodontia. PATIENTS AND METHODS: This study included 19 oligodontia patients (age: 9.5±1.3, Hellman's developmental stage IIIA~IIIB) along with a control group that comprised of 19 participants (age: 9.9±1.6) without any skeletal disharmony or congenitally missing teeth, with an Angle class I relationship and general crowding. Average cephalometric measurements among the oligodontia group were compared to the control group. The correlation between number of congenitally missing teeth (CMT) and each measurement was investigated. Skeletal measurements for both male and female patients in the oligodontia group and the control group were also compared.
RESULTS: No significant difference between the experimental and the control group was observed with respect to skeletal angular and linear measurements, except the gonial angle. Differences in dental pattern measurements were observed. The oligodontia group had significantly smaller Mo-Ms and Is-Mo than the control group (p<0.01). No correlation was detected between severity of oligodontia (number of CMT) and skeletal measurement except for SNB (R=-0.4). For females with oligodontia, Mo-Ms (eruption of maxillary first molar) and Is-Mo (mesial location of maxillary first molar) significantly differed from females in the control group (p<0.01). In contrast, no differences in Mo-Ms or Is-Mo were detected for male patients when oligodontia and control group were compared.
CONCLUSION: Among pre-adolescent Japanese patients with oligodontia in Hellman's developmental age IIIA~IIIB, no significant differences in skeletal characteristics were established when compared to the control group. However, tooth position of maxillary first molars indicated smaller vertical descent and mesial shift, which may suggest weak maxillary vertical development.
© 2019 Mayama et al.

Entities:  

Keywords:  congenitally missing teeth; craniofacial morphology; non-syndromic oligodontia; skeletal and dental pattern

Year:  2019        PMID: 31819657      PMCID: PMC6886537          DOI: 10.2147/CCIDE.S213111

Source DB:  PubMed          Journal:  Clin Cosmet Investig Dent        ISSN: 1179-1357


Introduction

Among the most common dental conditions in the maxillofacial region, congenitally missing teeth (CMT) significantly affects form, function and esthetics. More specifically, oligodontia is a rare genetic disorder which represents the congenital absence of more than six teeth in primary, permanent or both dentitions, excluding third molars. Although a missense mutation (P20L) was identified among patients with CMT, definitive etiology for the condition is still unknown.1 Comprehensive orthodontic treatment with space opening or closure before prosthetic therapy, bonded resin restorative technique, fabrication of removable or fixed partial dentures, implant-supported restorations, or combinations of the aforementioned treatments are often utilized to treat CMT.2–6 Early diagnosis of developmental patterns during growth and proper intervention is critical in achieving long-term treatment success. Differences in skeletal patterns and craniofacial morphology are both related to CMT. Reports suggest that the skeletal pattern of CMT correlates with a significantly smaller mandibular plane inclination and in more severe cases a prognathic mandible.7–11 Sarnas and Rune report that patients who are congenitally missing more than 4 teeth are more retrognathic in the maxilla, and the sagittal jaw relationship angle was smaller than in the average population.12 In the vertical dimension, an increasing number of missing teeth correlated with a decrease in the mandibular plane angle and a reduction in facial height. Others, however, report no relationship between the size of the mandible, general growth pattern, lip position, or facial esthetics and CMT.12–15 Differences in sample populations, such as age range which significantly affects skeletal growth patterns and craniofacial morphology, may account for contradictory reports. In previous studies, for example, the largest age range of subjects was from 6 to 23 years.8 In other studies, the average age varied from 11 to 17 years old.7–11 This wide age range includes a broad variety of skeletal growth patterns. Ben-Bassat et al and Gungor et al report that the severity, the number, and the location of congenitally missing teeth affect the skeletal pattern and craniofacial morphology of patients with oligodontia.8,10 Their studies include a wide age range of patients of oligodontia among whom skeletal patterns also varied. Oligodontia presents as congenital absence of more than six teeth, excluding the third molars is quite rare.10,16–18 Prevalence of non-syndromic oligodontia is less than 1% but varies across studied populations. The prevalence in the Turkish population is 0.13% while in the Japanese population it is 0.05% to 0.94%. Oligodontia prevalence in other populations such as USA, China, Britain, Canada, Sweden and Malaysia ranges from 0.05% to 0.43.17,19–23 It is difficult to obtain an adequate, balanced sample size and population from which to accurately study oligodontia. In this present study, we intentionally selected a study sample with a narrow age range, Hellman’s developmental stage IIIA (complete eruption of permanent first molar and incisors) to IIIB (exchange phase of lateral teeth) in order to minimize the effects and variations caused by age-related skeletal developmental and eruption of the second molar. Here, we analyzed cephalometric measurements of patients with oligodontia compared to a control group in the Japanese population. Cephalometric analysis included skeletal angular and linear measurements and oligodontia patients only included those missing more than six teeth excluding the third molar. Gender difference and the relationship between CMT severity, skeletal and dental patterns were analyzed.

Materials And Methods

This study was the retrospective study and approved by the institutional review board (IRB) at Iwate Medical University, School of Dental Medicine (No. 01290), in Japan. First, orthodontic records including lateral cephalometric radiographs of patients at Iwate Medical University School of Dental Medicine during 2005–2015 were reviewed by the principal investigator (PI). Eligible patients were selected based on the following inclusion and exclusion criteria: patients with at least 6 CMT (excluding the third molars) in the permanent teeth in Hellman’s developmental stage IIIA ~ IIIB were included. Patients with cleft lip/palate, craniofacial anomalies, and/or diagnosed syndromes were excluded. Potential patients who met the inclusion criteria were informed of the general aim of the study by PI or Co-PI using lay language. For the patients who agreed, informed consent was obtained and participants were offered a copy of the consent information. The personal identification was removed from the records and radiographs so that all research data did not contain any identifiers. All research data were stored in the computer with password protection in a locked room (PI’s office). This study was performed under the compliance of Declaration of Helsinki. Nineteen patients with oligodontia between the ages of 7 and 12 years (mean 9.5 ± SD 1.3) were included. For the control group (Table 1), 19 participants without any skeletal disharmony or congenitally missing teeth and an Angle class I relationship with moderate crowding were included. Skeletal relationship was determined by cephalometric analysis, and dental Angle classification was determined by clinical examination of the first molar relationship. Average age among those in the control group was 9.9 ± 1.6 years (range: 6 ± 12 years old).
Table 1

Demographic Data Of The Patients Included

ControlOligodontiaTotal
FemaleMaleSub-TotalFemaleMaleSub-Total
Number of patients136191361938
Age (years)10.0±1.59.5±1.69.9±1.69.7±1.39.1±1.09.5±1.39.7±1.4
Demographic Data Of The Patients Included Lateral cephalometric radiographs were taken with the teeth in centric occlusion by cephalostat (Asahiroentgen Ind. Co., Ltd., Kyoto, Japan). These cephalometric radiographs had been taken as part of the routine comprehensive orthodontic evaluation of patients and not for the purpose of this study. Radiographic findings, a questionnaire, and clinical exam were used to diagnose CMT. Anatomical landmarks were identified on tracing paper. Cephalometric reference points and lines are illustrated in Figures 1 and 2. Cephalometric measurements (13 skeletal parameters and 6 dental patterns) were used to evaluate skeletal and dental characteristics.24,25 Cephalometric analyses were performed with cephalometric software program (Winceph 5.5, Rise Corporation, Sendai, Japan).
Figure 1

Landmarks for skeletal pattern measurements. (A) Linear measurements: 1. N-ANS, 2. ANS-Me, 3. A’-Ptm’, 4. Gn-Cd, 5. Pog’-Go, 6. Cd-Go. (B) Angular measurements: 1. facial angle, 2. Y-axis, 3. SNA, 4. SNB, 5. ANB, 6. mandibular plane to FH, 7. gonial angle.

Figure 2

Landmarks for dental pattern measurements. (A) Linear measurements: 1. Mo-Ms, 2. Is-Mo, 3. Mo-Mi, 4. Ii-Mo. (B) Angular measurements: 1. U1 to FH, 2. L1 to mandibular plane.

Landmarks for skeletal pattern measurements. (A) Linear measurements: 1. N-ANS, 2. ANS-Me, 3. A’-Ptm’, 4. Gn-Cd, 5. Pog’-Go, 6. Cd-Go. (B) Angular measurements: 1. facial angle, 2. Y-axis, 3. SNA, 4. SNB, 5. ANB, 6. mandibular plane to FH, 7. gonial angle. Landmarks for dental pattern measurements. (A) Linear measurements: 1. Mo-Ms, 2. Is-Mo, 3. Mo-Mi, 4. Ii-Mo. (B) Angular measurements: 1. U1 to FH, 2. L1 to mandibular plane.

Data Analysis

Cephalometric measurements among oligodontia and control groups were compared using Student's t-test (p<0.05). Pearson’s correlation coefficients between number of missing teeth and each cephalometric measurement were calculated.26 Distributions of CMT among females and males with oligodontia were analyzed by Chi-square test. Skeletal measurements of females with oligodontia (n=13) were compared to females in the control group (n=13), and measurements of males with oligodontia (n=6) were compared to males in the control group (n=6) using a student t-test (p<0.05).

Results

Number of CMT per patient ranged from 6 to 12 in this study. The most prevalent CMT, among the study participants, were the maxillary second premolar (22.1%) and the mandibular second premolar (22.1%). Following the premolars, the most prevalent missing teeth were the mandibular first premolar (10.4%) and the maxillary first premolar (9.7%). In this study, congenitally missing first molars were not observed among any of the participants (Table 2).
Table 2

The Number And Rate Of Congenitally Missing Teeth

Type Of ToothNumberRate
Maxillary
 Central incisor00.0%
 Lateral incisor149.1%
 Canine138.4%
 First premolar159.7%
 Second premolar3422.1%
 First molar00.0%
 Second molar106.5%
 Sub-total8655.8%
Mandibular
 Central incisor53.2%
 Lateral incisor63.9%
 Canine31.9%
 First premolar1610.4%
 Second premolar3422.1%
 First molar00.0%
 Second molar42.6%
 Sub-total6844.2%
Total154100%
The Number And Rate Of Congenitally Missing Teeth When compared with the control group, participants with oligodontia had significantly smaller Mo-Ms, Is-Mo (p<0.01), and gonial angle (p<0.05, Table 3). There was no significant correlation between Mo-Ms (R=−0.12) and Is-Mo (R=0.02) measurements and number of CMT, i.e. severity of oligodontia. Only a weak negative correlation was observed between gonial angle (R=0.21) and number of CMT (Table 4).
Table 3

Comparison Of Cephalometric Linear And Angular Measurements On The Control And Oligodontia Group

ControlOligodontiaP-Value
MeanS.D.MeanS.D.
Skeletal Pattern
Linear measurements (mm)
 N-ANS51.22.952.13.30.406
 ANS-Me65.53.963.24.00.098
 A’-Ptm’46.11.845.23.30.330
 Gn-Cd106.94.8105.65.60.453
 Pog’-Go71.13.170.64.20.721
 Cd-Go52.12.351.64.80.680
Angular measurements (degree)
 Facial angle83.41.783.12.70.690
 Y-axis64.81.964.72.80.895
 SNA81.31.180.73.80.466
 SNB76.91.077.53.20.474
 ANB4.40.73.23.10.106
 Mandibular plane to FH31.11.529.14.50.087
 Gonial angle127.83.1123.97.60.048*
Dental Pattern
Linear measurements (mm)
 Mo-Ms19.81.317.62.40.002**
 Is-Mo37.11.534.43.10.002**
 Mo-Mi30.01.430.52.70.526
 Ii-Mo32.21.032.32.80.911
Angular measurements (degree)
 U1 to FH110.35.3110.45.50.972
 L1 to mandibular plane94.84.293.27.10.417

Notes: *P<0.05, **P<0.01.

Table 4

The Correlation Between The Number Of Missing Teeth And Cephalometric Measurements

Skeletal Pattern
Linear measurements (mm)RAngular measurements (degree)R
 N-ANS0.13 Facial angle−0.09
 ANS-Me0.12 Y-axis0.22*
 A’-Ptm’−0.25* SNA−0.28*
 Gn-Cd−0.06 SNB−0.42**
 Pog’-Go0.18 ANB0.10
 Cd-Go0.03 Mandibular plane to FH0.01
 Gonial angle−0.21*
Dental Pattern
Linear measurements (mm)Angular measurements (degree)
 Mo-Ms−0.12 U1 to FH−0.06
 Is-Mo0.02 L1 to mandibular plane−0.19
 Mo-Mi0.28*
 Ii-Mo−0.29*

Notes: *|R|>0.1, **|R|>0.4.

Comparison Of Cephalometric Linear And Angular Measurements On The Control And Oligodontia Group Notes: *P<0.05, **P<0.01. The Correlation Between The Number Of Missing Teeth And Cephalometric Measurements Notes: *|R|>0.1, **|R|>0.4. In contrast, no significant difference in A’-Ptm’, Mo-Mi, Ii-Mo, Y-axis, SNA, and SNB measurement was observed between the oligodontia group and control group (Table 3); however, weak-to-moderate correlations with the number of CMT (severity of oligodontia) were observed (Table 4). Correlation of Mo-Mi (R=+0.28) and Ii-Mo (R=−0.29) with the number of CMT indicates that the mandibular molar is extruded and drifts farther forward in the dental arch as the severity of oligodontia increases. Negative correlation of SNA (R=−0.28), SNB (R=−0.42), and A’-Ptm’ (R=−0.25) with the number of CMT indicates that with increasing severity of CMT, A’-Ptm’ is smaller and both the mandible and maxilla are more posteriorly positioned (Table 4). Lastly, a positive correlation on Y-axis (R=+0.22) implies mandibular development in a downward and forward direction (Table 4). No statistically significant difference was detected in the distribution of CMT in both arches [p=0.25; maxillary (p=0.08) and mandibular (p=0.5)] among females and males with oligodontia (Table 5). Average linear and angular measurements differed significantly among females with oligodontia when compared to female controls. Only average angular measurements differed significantly among males with oligodontia compared with male controls. Females with oligodontia had significantly smaller average ANS-Me (p<0.05), Mo-Ms (p<0.01) and Is-Mo (p<0.01) measurements than female controls. The male group had a smaller mandibular Pl to FH (p<0.05) than the control. The average U1 to FH measurement among female participants with oligodontia was smaller than the control group, though not significantly;, but among males with oligodontia, the average U1 to FH measurement was significantly larger than among male controls (p<0.05, Table 6).
Table 5

The Distribution Of CMT In Female And Male Group

MaxillaryMandibularTotal
FemaleMaleSub-totalFemaleMaleSub-total
Central incisor0004155
Lateral incisor1131442620
Canine761312316
First premolar87151061631
Second premolar23113424103468
First molar0000000
Second molar1001040414
Table 6

Comparison Between Oligodontia And Control By Gender

FemaleControlOligodontiaP-Value
MeanS.D.MeanS.D.
Skeletal Pattern
Linear measurements (mm)
 N-ANS50.63.052.33.30.215
 ANS-Me65.74.562.13.80.042*
 A’-Ptm’46.21.544.33.10.063
 Gn-Cd107.65.2104.04.60.084
 Pog’-Go71.63.370.34.40.453
 Cd-Go52.42.450.85.30.370
Angular measurements (degree)
 Facial angle83.81.482.42.90.141
 Y-axis64.41.965.52.50.215
 SNA81.51.280.34.10.381
 SNB77.40.977.12.40.689
 ANB4.10.63.33.40.416
 Mandibular plane to FH30.91.429.74.90.431
 Gonial angle127.83.5122.38.50.051
Dental Pattern
Linear measurements (mm)
 Mo-Ms19.91.417.12.30.002**
 Is-Mo37.11.733.22.80.000**
 Mo-Mi29.81.530.43.20.505
 Ii-Mo31.80.931.52.60.652
Angular measurements (degree)
 U1 to FH112.14.4109.15.80.164
 L1 to mandibular plane94.84.593.27.80.543
MaleControlOligodontiaP-value
MeanS.D.MeanS.D.
Skeletal Pattern
Linear measurements (mm)
 N-ANS52.62.151.83.20.640
 ANS-Me64.92.165.73.30.655
 A’-Ptm’45.72.347.22.70.378
 Gn-Cd105.43.4109.15.90.252
 Pog’-Go70.02.271.33.60.526
 Cd-Go51.62.153.33.10.343
Angular measurements (degree)
 Facial angle82.51.984.61.20.070
 Y-axis65.61.662.82.40.051
 SNA81.10.781.42.70.844
 SNB75.90.278.44.40.238
 ANB5.10.53.02.30.068
 Mandibular plane to FH31.51.827.83.30.050*
 Gonial angle128.01.8127.33.30.662
Dental Pattern
Linear measurements (mm)
 Mo-Ms19.71.118.72.30.386
 Is-Mo37.31.137.11.20.842
 Mo-Mi30.60.830.60.90.927
 Ii-Mo33.00.434.12.30.333
Angular measurements (degree)
 U1 to FH106.45.0113.23.40.033*
 L1 to mandibular plane94.73.493.25.20.587

Notes: *P<0.05, **P<0.01.

The Distribution Of CMT In Female And Male Group Comparison Between Oligodontia And Control By Gender Notes: *P<0.05, **P<0.01.

Discussion

The average age of participants with oligodontia (9.5 ± 1.3 years old) and the narrow age range (7 to 12 years) relative to previous reports make this study particularly significant.7,27,28 The analysis was restricted to Hellman’s developmental stage IIIA and IIIB in order to limit the effects of second molar eruption (e.g. increase of vertical dimension and changes in craniofacial morphology). Exclusion of patients with hypodontia (fewer than 6 CMT) led to a smaller but more specific study population when compared to other studies. Distribution of CMT in this study was similar to previous studies with the highest prevalence occurring in the second premolar (maxillary and mandibular) followed by the maxillary lateral incisor and the mandibular first premolar.29 Similar to previous reports, participants with oligodontia had a smaller gonial angle, smaller angle of mandibular plane to FH and ANS-Me compared to controls.7–11,17 The above measurements among a cohort of participants with oligodontia of younger average age than previous studies may suggest that those with oligodontia may, on average, have a low angle skeletal pattern early in development. Regardless of the average age, those with oligodontia had smaller Mo-Ms and Is-Mo measurements compared to controls, indicating a weak eruption and mesial location of the maxillary first molar. Furthermore, neither measurement correlated with severity of oligodontia. These findings are predictors of a future class III skeletal relationship among patients with oligodontia. Average Mo-Mi, Ii-Mo, Y-axis, SNA, SNB and A’-Ptm’ measurements were moderately correlated with severity of oligodontia and are significant for predicting future skeletal development of both jaws. Gender differences in the dental pattern characteristics of oligodontia in this study suggest that females with oligodontia have a lower eruption and more mesial location of the maxillary first molar compared to controls. Males with oligodontia did not have those dental characteristics. On average, skeletal development of the maxilla is completed at 15 years of age in females and 17 years of age in males.9 The peak of maxillary skeletal development is around 8 to 10 years of age and the peak for males is 1 to 2 years later than females.30,31 Therefore, the average measurements of Mo-Ms, Is-Mo and ANS-Me among males with oligodontia should not be significantly different compared to male controls in the age range of the selected study population (9.1±1.0 for male and 9.7±1.3 for female). Currently, oligodontia is rarely diagnosed by Hellman’s developmental stage IIIA because symptoms of CMT are not clinically detectable and panoramic radiography is not frequently used in this age group. Although there was no significant difference in the skeletal patterns of the oligodontia group early in development, the dental pattern of maxillary first molar differed significantly from the control group. This study highlights the importance of early diagnosis of oligodontia. Early diagnosis of oligodontia from Hellman’s developmental stage IIIA to IIIB may facilitate better treatment outcomes through available treatments such as growth modification via orthodontics, molar extrusion, and increase/maintenance of vertical dimension. Early diagnosis and intervention may obviate the need for more invasive procedures such as orthognathic surgery and could create a more ideal dental arch, occlusal plane, and vertical dimension for final comprehensive restorative treatments to achieve optimal esthetics and function. Limitations of this study include a small study population and sample size. All patients, including controls, were collected from Japanese orthodontic patients, which limits the generalizability of the study, and, therefore, the results cannot be directly applicable to other ethnic groups. Although sample size calculation is not necessary for this type of study, if we applied the formula [n=2 x (SD/Δ)2 x 7.9] to all cephalometric measurements, average n is 18.7. Therefore, 19 patients for each experimental and control group in this study are justified. A future study with a larger sample size would allow an analysis of the association between number, type and location of missing teeth and skeletal pattern.

Conclusion

Patients with oligodontia in Hellman’s developmental stage IIIA to IIIB display significant characteristics in the dental pattern (Mo-Ms and Is-Mo) and gonial angle when compared to the control group. Our data indicate that early diagnosis and intervention including growth modification and molar extrusion may contribute to successful long-term treatment outcomes.
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1.  The pattern and prevalence of hypodontia in Koreans.

Authors:  C J Chung; J-H Han; K-H Kim
Journal:  Oral Dis       Date:  2008-02-01       Impact factor: 3.511

2.  Analysis of the vertical facial form in patients with severe hypodontia.

Authors:  N Bondarets; F McDonald
Journal:  Am J Phys Anthropol       Date:  2000-02       Impact factor: 2.868

3.  The facial profile in advanced hypodontia: a mixed longitudinal study of 141 children.

Authors:  K V Sarnäs; B Rune
Journal:  Eur J Orthod       Date:  1983-05       Impact factor: 3.075

4.  A survey of hypodontia in Japanese orthodontic patients.

Authors:  Toshiya Endo; Rieko Ozoe; Mifumi Kubota; Mahito Akiyama; Shohachi Shimooka
Journal:  Am J Orthod Dentofacial Orthop       Date:  2006-01       Impact factor: 2.650

5.  Changes in cranio-facial morphology of individuals with hypodontia between the ages of 9 and 16.

Authors:  K L Roald; P J Wisth; O E Bøe
Journal:  Acta Odontol Scand       Date:  1982       Impact factor: 2.331

6.  An orthopantomographic study of hypodontia in permanent teeth of Japanese pediatric patients.

Authors:  Harold Agurto Goya; Shigeo Tanaka; Takahide Maeda; Yoshiaki Akimoto
Journal:  J Oral Sci       Date:  2008-06       Impact factor: 1.556

7.  Craniofacial structure and soft tissue profile in patients with severe hypodontia.

Authors:  B Ogaard; O Krogstad
Journal:  Am J Orthod Dentofacial Orthop       Date:  1995-11       Impact factor: 2.650

8.  Craniofacial morphology in patients with multiple congenitally missing permanent teeth.

Authors:  M Nodal; I Kjaer; B Solow
Journal:  Eur J Orthod       Date:  1994-04       Impact factor: 3.075

9.  Multidisciplinary treatment of non-syndromic oligodontia.

Authors:  Canan Bural; Evren Oztas; Sukru Ozturk; Gulsen Bayraktar
Journal:  Eur J Dent       Date:  2012-04

10.  Examination of craniofacial morphology in Japanese patients with congenitally missing teeth: a cross-sectional study.

Authors:  Yuki Takahashi; Norihisa Higashihori; Yuko Yasuda; Jun-Ichi Takada; Keiji Moriyama
Journal:  Prog Orthod       Date:  2018-10-01       Impact factor: 2.750

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1.  Effect of Tooth Agenesis on Mandibular Morphology and Position.

Authors:  Agnieszka Jurek; Dariusz Gozdowski; Ewa Monika Czochrowska; Małgorzata Zadurska
Journal:  Int J Environ Res Public Health       Date:  2021-11-12       Impact factor: 3.390

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