Xin Xiong,Jiaqi Liu,Yange Wu,Chengxinyue Ye,Qinlanhui Zhang,Yufan Zhu,Wenke Yang,Jun Wang
Association between the severity of hypodontia and the characteristics of craniofacial morphology in a Chinese population: A cross-sectional study
Tooth number,Cephalometrics,Hypodontia,Craniofacial morphology
Objective To investigate craniofacial differences in individuals with hypodontia and explore the relationship between craniofacial features and the number of congenitally missing teeth. Methods A cross-sectional study was conducted among 261 Chinese patients (males, 124; females, 137; age, 7–24 years), divided into four groups (without hypodontia no teeth missing, mild one or two missing teeth, moderate three to five missing teeth, severe six or more missing teeth) according to the number of congenitally missing teeth. Differences in cephalometric measurements among the groups were analyzed. Further, multivariate linear regression and smooth curve fitting were performed to evaluate the relationship between the number of congenitally missing teeth and the cephalometric measurements. Results In patients with hypodontia, SNA, NA-AP, FH-NA, ANB, Wits, ANS-Me/N-Me, GoGn-SN, UL-EP, and LL-EP significantly decreased, while Pog-NB, AB-NP, N-ANS, and S-Go/N-Me significantly increased. In multivariate linear regression analysis, SNB, Pog-NB, and S-Go/N-Me were positively related to the number of congenitally missing teeth. In contrast, NA-AP, FH-NA, ANB, Wits, N-Me, ANS-Me, ANS-Me/N-Me, GoGn-SN, SGn-FH (Y-axis), UL-EP, and LL-EP were negatively related, with absolute values of regression coefficients ranging from 0.147 to 0.357. Further, NA-AP, Pog-NB, S-Go/N-Me, and GoGn-SN showed the same tendency in both sexes, whereas UL-EP and LL-EP were different. Conclusions Compared with controls, patients with hypodontia tend toward a Class III skeletal relationship, reduced lower anterior face height, flatter mandibular plane, and more retrusive lips. The number of congenitally missing teeth had a greater effect on certain characteristics of craniofacial morphology in males than in females.
Association between the severity of hypodontia and the characteristics of craniofacial morphology in a Chinese population: A cross-sectional study

To investigate craniofacial differences in individuals with hypodontia and explore the relationship between craniofacial features and the number of congenitally missing teeth.

A cross-sectional study was conducted among 261 Chinese patients (males, 124; females, 137; age, 7–24 years), divided into four groups (without hypodontia no teeth missing, mild one or two missing teeth, moderate three to five missing teeth, severe six or more missing teeth) according to the number of congenitally missing teeth. Differences in cephalometric measurements among the groups were analyzed. Further, multivariate linear regression and smooth curve fitting were performed to evaluate the relationship between the number of congenitally missing teeth and the cephalometric measurements.

In patients with hypodontia, SNA, NA-AP, FH-NA, ANB, Wits, ANS-Me/N-Me, GoGn-SN, UL-EP, and LL-EP significantly decreased, while Pog-NB, AB-NP, N-ANS, and S-Go/N-Me significantly increased. In multivariate linear regression analysis, SNB, Pog-NB, and S-Go/N-Me were positively related to the number of congenitally missing teeth. In contrast, NA-AP, FH-NA, ANB, Wits, N-Me, ANS-Me, ANS-Me/N-Me, GoGn-SN, SGn-FH (Y-axis), UL-EP, and LL-EP were negatively related, with absolute values of regression coefficients ranging from 0.147 to 0.357. Further, NA-AP, Pog-NB, S-Go/N-Me, and GoGn-SN showed the same tendency in both sexes, whereas UL-EP and LL-EP were different.

Compared with controls, patients with hypodontia tend toward a Class III skeletal relationship, reduced lower anterior face height, flatter mandibular plane, and more retrusive lips. The number of congenitally missing teeth had a greater effect on certain characteristics of craniofacial morphology in males than in females.

Hypodontia, or congenitally missing teeth, is one of the most prevalent developmental disorders characterized by the congenital absence of one or more teeth, excluding the third molar. The prevalence of hypodontia varies from 0.3–13.3%, depending on sex, ethnicity, geographical regions, and dentition type. Females have been reported to have a slightly higher prevalence than males, with a ratio of 1.37:1, and hypodontia was more common in deciduous dentition than in permanent dentition. Remarkably, the incidence of hypodontia has increased over the last few decades and appears to have a negative psychosocial impact on individuals. Hypodontia is classified as nonsyndromic or syndromic. Nonsyndromic hypodontia is an isolated trait that only involves congenitally missing teeth, whereas syndromic hypodontia can be associated with a cleft lip and palate or more than 50 craniofacial syndromes. Based on the number of missing teeth, hypodontia can be classified into different severities: mild (one or two missing teeth), moderate (three to five missing teeth), and severe (six or more missing teeth). It is generally agreed that hypodontia may occur due to genetic regulation and environmental factors. Several studies have confirmed that various genes, such as PAX9, AXIN2, FGF3, FGF10, and BMP4, are associated with tooth agenesis. Therefore, mutations in these related genes may contribute to hypodontia. However, no consensus has been reached on whether hypodontia is caused by a polygenetic or single gene defect. Environmental factors that can interfere with tooth development, including maternal exposure to alcohol and smoking, thalidomide, and rubella infection during pregnancy, may be related to hypodontia. Patients with hypodontia have different dental and craniofacial morphological characteristics than people without hypodontia. Although this association has been broadly investigated, the conclusions among different studies were inconsistent due to non-negligible sample heterogeneity. Several studies confirmed that patients with hypodontia had a reduced facial height, a smaller mandibular plane angle, a tendency to develop a retrognathic maxilla, and a Class III skeletal relationship, resulting in a flatter or more concave profile. Furthermore, hypodontia severity may be associated with craniofacial morphology alteration. In contrast, some studies have revealed bimaxillary retrognathism and a higher prevalence of Class I skeletal relationship in patients with hypodontia, while others found that hypodontia did not fabricate a significant skeletal distinction. Since no consensus has yet been reached in the literature, further research is required to elucidate this issue thoroughly. This study investigated the association between hypodontia severity and craniofacial morphological characteristics measured by cephalometry. Additionally, it explored the relationship between certain craniofacial features and the increasing number of congenitally missing teeth. The null hypotheses were as follows: 1) there was no difference in the characteristics of craniofacial morphology between individuals with or without hypodontia, and 2) there was no association between hypodontia severity and craniofacial morphology characteristics.

This cross-sectional study was approved by the Institutional Review Board of the West China Hospital of Stomatology (approval no. WCHSIRB-2020-376). Patients and their parents or legal guardians were informed of the possibility that patient records would be used for teaching and research purposes, and informed consent was obtained. The sample comprised a group without missing or supernumerary teeth (76 participants, aged 11–23 years) and a group of hypodontia patients (185 participants, aged 7–24 years). We adopted the previously described classification of hypodontia severity, identifying it using orthopantomograms and clinical examination. This classification further divided patients with hypodontia into three subgroups: mild (one or two missing teeth), moderate (three to five missing teeth), and severe (six or more missing teeth). The inclusion criteria were: 1) One or more congenitally missing permanent teeth (excluding third molars) 2) Pretreatment radiographs (orthopantomograms and cephalograms) with high quality 3) Seven years of age and above 4) Chinese (Mongoloid) The exclusion criteria were: 1) A history of tooth extraction (excluding third molars) 2) A history of orofacial trauma, orthodontic, or orthognathic treatment 3) Cranial anomalies or craniofacial syndromes Since growth may play a role in craniofacial morphology, the cervical vertebral maturation stage (CVMS) was used to divide participants into prepubertal/circumpubertal groups (CVMS 1-4) or postpubertal groups (CVMS 5-6) as described before. A sample size calculation was performed using the G*Power (Version 3.1.9.7; University of Düsseldorf, Düsseldorf, Germany), based on an estimated effect size of 0.40. The sample size calculation (significance level α, 0.05) was designed to achieve 80% power, resulting in 76 participants in the prepubertal/circumpubertal and postpubertal groups.

Clinical information, including age, sex, and number and type of missing teeth, was recorded. Craniofacial morphology was described by a customized cephalometric analysis that included the most frequently used cephalometric measurements from previous studies, comprising 10 angular and 7 linear measurements and 2 derived proportions. These measurements covered the maxillary, mandibular, and maxillomandibular skeletal characteristics, vertical relationship, and soft tissue morphology (Figure 1, Table 1). The cephalograms of the patients were taken with a natural head position and later analyzed using Uceph software (version 780; Uceph, Chengdu, China) by one independent operator. A month after the initial cephalometric analysis, 20 lateral cephalograms were randomly selected and repeatedly measured by the same operator to evaluate intra-operator reliability. The intraclass correlation coefficients of all measurements were > 0.9, indicating excellent agreement. Additionally, a Bland–Altman analysis was performed for all measurements, and the test-retest difference was plotted against the mean value for each measurement. Of the 19 measurements, 4 Bland–Altman plots comprising angular and linear measurements and proportions are shown in Figure 2. Test-retest bias ranged from –0.22 to 0.16, and all p-values were greater than 0.05, indicating no significant bias.

Statistical analyses were performed using the SPSS software (version 24.0; IBM Corp., Armonk, NY, USA), R software (http://www.R-project.org), and Empower (R) (www.empowerstats.com; X&Y Solutions, Inc., Boston, MA, USA). For all hypothesis tests, statistical significance was predetermined at α = 0.05. The Kolmogorov–Smirnov test was performed to analyze the normality of age and cephalometric measurements. Non-normally distributed data (age, NA-AP, Pog-NB, N-Me, N-ANS, and LL-EP) among groups were analyzed using the Mann–Whitney U test or Kruskal–Wallis test followed by multiple comparisons using the Dunn–Bonferroni approach if the difference was significant. Normally distributed data among groups were analyzed by independent samples t-test or one-way analysis of variance (ANOVA), followed by multiple comparisons using the least significant difference (LSD) test. The chi-square test was used to examine the differences in sex among the groups. A multivariate linear regression test was performed to evaluate the effect of the number of congenitally missing teeth on cephalometric measurements adjusted for sex and age. The number of congenitally missing teeth was the independent variable. Subsequently, six cephalometric measurements with high regression coefficients were selected to perform smooth curve fitting to determine the association between the number of congenitally missing teeth and cephalometric measurements.

The number of patients of both sexes and the mean age of each group are presented in Tables 2 and 3. No significant difference was found between the prepubertal/circumpubertal and postpubertal groups. The frequencies of different types of permanent teeth (maxillary or mandibular incisors, canines, premolars, and molars) missing are shown (Figure 3A). Each type of permanent tooth has the potential to be congenitally absent, with the mandibular second premolar being the most common, followed by the maxillary lateral and mandibular incisors. Of the patients with hypodontia, 50.27% were missing both maxillary and mandibular teeth, 35.68% were missing only mandibular teeth, and 14.05% were missing only maxillary teeth (Figure 3B). Regarding patterns in different sites of dental arches, 37.30% of patients with hypodontia were missing both anterior and posterior teeth, 34.59% were missing only anterior teeth, and 28.11% were missing only posterior teeth (Figure 3C).

A comparison of cephalometric measurements between patients with and without hypodontia was conducted, with seven measurements showing statistically significant differences in the prepubertal/circumpubertal group and thirteen in the postpubertal group (Table 2). Moreover, a comparison of cephalometric measurements among patients with different hypodontia severities (mild, moderate, severe) and individuals without hypodontia was conducted, with seven measurements showing statistically significant differences in the prepubertal/circumpubertal group and ten in the postpubertal group. Multiple comparisons were conducted using these parameters (Table 3). The adjusted model showed that SNB, Pog-NB, and S-Go/N-Me were positively related to the number of congenitally missing teeth. Additionally, NA-AP, FH-NA, ANB, Wits, N-Me, ANS-Me, ANS-Me/N-Me, GoGn-SN, SGn-FH (Y-axis), UL-EP, and LL-EP were negatively correlated with the number of congenitally missing teeth in the multivariate linear regression analysis, with absolute values of regression coefficients ranging from 0.147 to 0.357 (Table 4). The smooth curves between the number of congenitally missing teeth and cephalometric measurements with high regression coefficients, which were adjusted for age and stratified by sex, revealed that NA-AP, Pog-NB, S-Go/N-Me, and GoGn-SN showed the same tendency in both sexes, while UL-EP and LL-EP were different (Figure 4). Further, NA-AP, Pog-NB, and GoGn-SN changed more significantly in males with less than 10 congenitally missing teeth; however, no such trait was found in females. Pog-NB of males tended to be more affected by the number of congenitally missing teeth than females. With the increasing number of congenitally missing teeth, the UL-EP and LL-EP first decreased and then increased in male patients with 10 and 13 congenitally missing teeth as turning points, respectively.

Statistical analysis revealed significant differences in several measurements between the control group and the patients with mild, moderate, and severe hypodontia; hence, the null hypothesis was rejected. This study found that the most frequently congenitally missing teeth were mandibular second premolars, followed by maxillary lateral incisors and mandibular incisors, as reported by several studies. It has been proposed that human dentition tends to be smaller with fewer teeth. The most distal tooth in each tooth type was suggested to be the least genetically stable tooth with the highest potential to be congenitally missing, which could partially explain the results found in this study. Chan et al. reported that the maxilla was significantly retrognathic in patients with severe hypodontia by revealing a significant reduction in SNA and NA-FH, which partially agrees with the significantly reduced SNA and NA-FH found in the postpubertal group in the current study. In the prepubertal/circumpubertal, and postpubertal groups with varying hypodontia severity, a significantly reduced NA-AP was found, indicating that the maxilla position related to the face was more retrognathic in patients with hypodontia, consistent with the findings of Ben-Bassat and Brin and Ogaard and Krogstad. Notably, in the prepubertal/circumpubertal groups, such differences were not detected when comparing patients with and without hypodontia. ANB exhibited the same tendency, revealing that hypodontia severity plays an essential role in craniofacial morphology. Additionally, it was observed that as the hypodontia severity increased, ANB reduced; therefore, it was concluded that patients with hypodontia tended toward a Class III skeletal relationship. Meanwhile, Bassiouny et al. studied a sample of patients with congenitally missing maxillary lateral incisors and proved them to have a significant tendency to develop a Class III skeletal relationship with reduced ANB and Wits. In the present study, chin protrusion, measured by Pog-NB, was significantly increased in postpubertal patients with hypodontia, indicating that patients with hypodontia appeared to have a more prominent chin. This finding is supported by Chan et al. and Lisson and Scholtes, who found that patients with hypodontia generally had a thicker chin button. Permanent teeth absence has been reported to result in underdevelopment of the maxilla or mandible. Therefore, retrognathism may occur in the maxilla, mandible, or a combination of both, depending on the hypodontia location. Another theory proposed by Ogaard and Krogstad stated that maxillary retrusion occurring in patients with hypodontia was due to anterior rotation of the mandible due to the lack of support from posterior teeth. This theory could also explain the tendency toward a Class III skeletal relationship and chin protrusion discovered in this study. Regarding vertical relationship measurements, N-Me and ANS-Me were significantly smaller in prepubertal/circumpubertal patients with hypodontia. In contrast, ANS-Me/N-Me was significantly smaller in the postpubertal group, revealing either an absolute decrease or a relative decrease in lower anterior face height, which concurred with the results of previous studies. Several studies have reported a flatter mandibular plane in patients with hypodontia, which supports the finding of a significantly reduced GoGn-SN in prepubertal/circumpubertal, and postpubertal hypodontia patients. A significantly increased S-Go/N-Me was also observed in these groups, demonstrating a counterclockwise growth rotation, in agreement with Acharya et al., who found that in severe hypodontia, the total posterior face height increased, the total anterior face height decreased, or both, leading to increased S-Go/N-Me. Conversely, Vucic et al. spotted a decrease in the lower posterior facial height in children with anterior hypodontia, suggesting a tendency to develop hyperdivergent craniofacial patterns. The presence of sufficient teeth contributes to the vertical development of the alveolar process in both the maxilla and mandible. With the increasing number of absent teeth in patients with hypodontia, the deficiency of vertical development of the alveolar process might occur. Additionally, permanent teeth absence results in a lack of posterior occlusal support, which could lead to anterior mandible rotation. The significantly different vertical relationship measurements in patients with hypodontia found in this study, including a reduced lower anterior face height and a flatter mandibular plane, may be attributed to the deficiency of vertical development and anterior mandible rotation. Further, UL-EP and LL-EP significantly decreased in postpubertal patients with hypodontia, indicating that they had more retrusive lower lips, in agreement with previous studies. It has been hypothesized that the difference in soft tissues in patients with hypodontia could be explained by an altered tongue-lip-pressure balance or an adaption of the tongue in the hypodontia region. Remarkably, UL-EP in the prepubertal/circumpubertal group with different hypodontia severities significantly decreased; however, such a difference was not discovered in the comparison between the two groups with or without hypodontia, which further emphasized the potential impact of hypodontia severity. More importantly, sex may play a role in the relationship between hypodontia severity and craniofacial morphological characteristics. Sex differences in masticatory performance and occlusal force have been reported previously, revealing that males usually have greater occlusal force than females, mainly attributed to the greater muscular potential of males. In contrast, females might compensate for their low muscle strength with enhanced coordination of other motor and sensory functions. Therefore, based on the results of this study, it is speculated that males are more affected by the number of congenitally missing teeth because they are more dependent on occlusal force support. However, above a certain threshold (for example, more than 10 congenitally missing teeth), the influence of absent teeth decreases. Although most of this study’s results are consistent with those of most previous studies, the association between hypodontia severity and craniofacial morphology was further elaborated in this study. Moreover, this study revealed that sex may play a role in craniofacial morphology in patients with hypodontia. This study had some limitations. First, the standard deviations of a few measurements were relatively large, which could be attributed to the small sample size of the severe hypodontia group due to the low prevalence of severe hypodontia. However, according to the sample size calculation, 80% power could be achieved based on the current sample size. Second, only Chinese subjects who sought treatment in one center were included, which could have biased the findings. Therefore, the results should be extrapolated to patients with hypodontia of other ethnicities with extreme caution. In addition, the possible late formation of premolars or second molars could introduce bias since participants from 7 years of age were included. Finally, since this was a cross-sectional study, it cannot reflect any cause-and-effect relationship, and further longitudinal studies should be conducted to clarify the exact relationship.

Significant differences were observed in several cephalometric measurements of patients with hypodontia. Compared with individuals without hypodontia, patients with hypodontia tend toward a Class III skeletal relationship, a reduced lower anterior face height, a flatter mandibular plane, and more retrusive lips. Although the regression coefficients were weak, several cephalometric measurements were significantly associated with the number of congenitally missing teeth. Additionally, certain characteristics of male craniofacial morphology are more affected by the number of congenitally missing teeth than those of females.