scholarly journals Dental anomalies in orthodontic patients with and without skeletal discrepancies

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Clarissa Christina Avelar Fernandez ◽  
Mônica Gentil Mattos ◽  
Christiane Vasconcellos Cruz Alves Pereira ◽  
Marcelo De Castro Costa
Keyword(s):  
Observational Studies ◽  
Class Ii ◽  
Systematic Search ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Dental Anomalies ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Orthodontic Patients

Objective:To determine whether individuals withskeletal discrepancies of Class II or IIIdisplay a higher frequency of dental anomalies in comparison with individuals with Class I malocclusion. Design:A systematic search of the main electronic medical scientific literaturedatabases was conducted. Observational studies were selected if mentioning dental anomalies in the different skeletal malocclusion patterns.Results:A total of 4,768 studies were found and the duplicated studies (1,279) were removed, resulting in 3,489 papers to be analyzed. After screening by title, 138 were fit for screening by abstract. After that, a total of 13 papers were carefully read in full. Five studies included dental anomaly frequencies in orthodontic patients and included 7,679 participants. The frequency of dental anomalies ranged from 11.2% to 40.3%.It was observed that individuals with skeletal discrepancies of Class II and III had more dental anomalies when compared to individuals with Class I.Conclusion:Individuals with skeletal malocclusion patternshave more dental anomalies and there is an association between dental anomalies and skeletal Class II or Class III malocclusion patterns.

scholarly journals Pattern of Malocclusion in Orthodontic Patients in South-Eastern Region of Nepal

2017 ◽  
Vol 7 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Anand Acharya ◽  
Bhushan Bhattarai ◽  
Diana George ◽  
Tarakant Bhagat
Keyword(s):  
Class Ii ◽  
Class I ◽  
Eastern Region ◽  
Class Iii ◽  
Skeletal Class ◽  
South Eastern ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Lateral Cephalograms ◽  
Orthodontic Patients

Introduction: Occlusal traits in orthodontic patients have been studied in different parts of Nepal. However, very few data are available on malocclusion in south-eastern region of Nepal.Objective: To assess the pattern of malocclusion occurring in orthodontic patients in south-eastern region of Nepal, and to estimate the age of presentation of Class II malocclusion among the patients.Materials & Method: Data were collected from 150 pre-treatment study models and lateral cephalograms from two orthodontic specialty clinics in Biratnagar. Angle’s classification system was used to determine dental malocclusion and ANB angle was used to determine skeletal malocclusion. Chi square test was used to test the association between dental and skeleton malocclusions.Result: Angle’s Class I malocclusion was found in 95(63.33%), Class II Div 1 in 41(27.33%), Class II Div 2 in 13(8.66%) and Class III in 1(0.66%). Among all subjects; 119 (79.33%) had skeletal Class I, 24(16%) had skeletal Class II and 7(4.66%) had skeletal Class III. There was significant association between dental and skeletal malocclusions. The average age for reporting Class II Div 1 malocclusion was 16.5 years and Class II Div 2 malocclusion was 19 years.Conclusion: Angle’s Class I is the most common malocclusion followed by Class II and Class III among orthodontic patients in south-eastern Nepal. The subjects lack awareness on age factor for orthodontic treatment. 

scholarly journals Relationship between skeletal malocclusion and dental anomalies in Nepalese population

2019 ◽  
Vol 9 (1) ◽  
pp. 15-18
Author(s):  
Bashu Dev Pant ◽  
Anjana Rajbhandari ◽  
Resina Pradhan ◽  
Manju Bajracharya
Keyword(s):  
Third Molar ◽  
Class Ii ◽  
Class I ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Dental Anomalies ◽  
Chi Square ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Third Molar Agenesis

Introduction: Teeth eruption is important for the development of alveolar process which increases vertical height of the face and third molar is the last tooth to erupt in the oral cavity after birth. The aim of this study was to determine relationship between skeletal malocclusion and dental anomalies in Nepalese population. Materials & Method: A sample of 170 patients with agenesis of at least one third molar was divided into four groups according to the third-molar agenesis pattern. Panoramic radiographs, lateral cephalograph and cast models were used to determine the skeletal malocclusion and associated dental anomalies. The Pearson chi-square test was used for stastical analysis. Result: Among 170 patients more than half of the patients were female with the average age being 18.15 ± 3.64 years. Majority of the patients had Class I skeletal malocclusion followed by Class II and III but on group wise comparison of patients with different skeletal patterns Class I skeletal malocclusion had highest prevalence of dental anomalies followed by Class III and Class II malocclusion. Conclusion: Prevalence of third-molar agenesis was more in skeletal class I malocclusion followed by class II and III but skeletal Class I malocclusions had more dental anomalies followed by class III and class II malocclusion.

scholarly journals Relationship between skeletal Class II and Class III malocclusions with vertical skeletal pattern

2019 ◽  
Vol 24 (4) ◽  
pp. 63-72
Author(s):  
Sonia Patricia Plaza ◽  
Andreina Reimpell ◽  
Jaime Silva ◽  
Diana Montoya
Keyword(s):  
Class Ii ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Multinomial Regression ◽  
Lateral Cephalogram ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Skeletal Class Ii ◽  
Skeletal Pattern

ABSTRACT Objective: The purpose of this study was to establish the association between sagittal and vertical skeletal patterns and assess which cephalometric variables contribute to the possibility of developing skeletal Class II or Class III malocclusion. Methods: Cross-sectional study. The sample included pre-treatment lateral cephalogram radiographs from 548 subjects (325 female, 223 male) aged 18 to 66 years. Sagittal skeletal pattern was established by three different classification parameters (ANB angle, Wits and App-Bpp) and vertical skeletal pattern by SN-Mandibular plane angle. Cephalometric variables were measured using Dolphin software (Imaging and Management Solutions, Chatsworth, Calif, USA) by a previously calibrated operator. The statistical analysis was carried out with Chi-square test, ANOVA/Kruskal-Wallis test, and an ordinal multinomial regression model. Results: Evidence of association (p< 0.05) between sagittal and vertical skeletal patterns was found with a greater proportion of hyperdivergent skeletal pattern in Class II malocclusion using three parameters to assess the vertical pattern, and there was more prevalent hypodivergence in Class III malocclusion, considering ANB and App-Bpp measurements. Subjects with hyperdivergent skeletal pattern (odds ratio [OR]=1.85-3.65), maxillary prognathism (OR=2.67-24.88) and mandibular retrognathism (OR=2.57-22.65) had a significantly (p< 0.05) greater chance of developing skeletal Class II malocclusion. Meanwhile, subjects with maxillary retrognathism (OR=2.76-100.59) and mandibular prognathism (OR=5.92-21.50) had a significantly (p< 0.05) greater chance of developing skeletal Class III malocclusion. Conclusions: A relationship was found between Class II and Class III malocclusion with the vertical skeletal pattern. There is a tendency toward skeletal compensation with both vertical and sagittal malocclusions.

Nasalance Scores as a Function of Skeletal Malocclusion of English-Speaking Adults in the North Indian Population

2021 ◽  
pp. 1-10
Author(s):  
Sanjeev Verma ◽  
Nameksh Raj Bhupali ◽  
Satinder Pal Singh ◽  
Dharam Vir ◽  
Chaman Lal
Keyword(s):  
Class Ii ◽  
Normative Values ◽  
Control Group ◽  
Class Iii ◽  
Skeletal Class ◽  
The North ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Group 3 ◽  
Group 1

<b><i>Objective:</i></b> The objective of this study is quantitative assessment of nasalance for skeletal Class I (normative values), Class II, and III malocclusion in the English language for the North Indian population and to compare the normative values with the nasalance scores obtained from individuals with skeletal Class II and III malocclusion and to evaluate the normative values as a function of gender. <b><i>Material and Methods:</i></b> The study was conducted on a total sample of 200 patients with 100, 50, and 50 in group 1 (control group, Skeletal Class I), group 2 (Skeletal Class II), and group 3 (Skeletal Class III), respectively. ANB angle (anteroposterior angle formed by point A, nasion, and point B) measured on lateral cephalogram was used to categorize the patients into 3 groups. The normative nasalance scores were compared for males and females in the control group. The nasalance scores of skeletal Class II and III subjects were compared to the combined normative scores of the control group. The NasalView was used for the objective assessment of nasalance. Oral syllables (/pa/and/pi/), nasal syllables (/ma/and/mi/), and 3 passages (Zoo passage, Rainbow passage, and Nasal sentences) were used to determine the nasalance scores. <b><i>Results:</i></b> The intragroup comparison of nasalance scores in group 1 showed statistically significant differences for different stimuli. The gender-related comparison showed no statistically significant differences in nasalance scores. The intergroup comparison of nasalance scores for skeletal malocclusion showed no statistically significant differences for different stimuli except statistically significant lower nasalance values for nasal sentences in group 3 compared to the control group. <b><i>Conclusion:</i></b> The study concluded that the nasalance scores for nasal sentences in skeletal Class III malocclusion were significantly lower than in the control group and were not statistically significant between the 3 groups for all other stimuli.

scholarly journals Pharyngeal airway dimensional changes after premolar extraction in skeletal class II and class III orthodontic patients

2018 ◽  
Vol 7 (1) ◽  
pp. 10 ◽  
Author(s):  
HudaM AlKawari ◽  
HanaO AlBalbeesi ◽  
AseelA Alhendi ◽  
HessahA Alhuwaish ◽  
Asma Al Jobair ◽  
...  
Keyword(s):  
Class Ii ◽  
Class Iii ◽  
Skeletal Class ◽  
Dimensional Changes ◽  
Premolar Extraction ◽  
Pharyngeal Airway ◽  
Skeletal Class Ii ◽  
Orthodontic Patients

scholarly journals Association between Crowding and the Effective Maxillary and Mandibular Length among Orthodontic Patients of Kathmandu, Nepal.

2021 ◽  
Vol 3 (2) ◽  
pp. 76-80
Author(s):  
Sanjay Prasad Gupta ◽  
Samarika Dahal ◽  
Shristi Rauniyar
Keyword(s):  
Class Ii ◽  
Dental Arch ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Lateral Cephalogram ◽  
Skeletal Class ◽  
Skeletal Class Ii ◽  
Significant Difference ◽  
Dental Crowding

Background: During orthodontic consultation, the most frequent major complaint of the patients is dental crowding, which is caused by a disparity between the arch length and tooth size. Objective: The purpose of this study was to evaluate the association between crowding and the effective maxillary and mandibular length in Nepalese orthodontic patients.Methods: The orthodontic records of 390 people (from January 2018 to December 2020) were randomly selected and classified into three skeletal malocclusions based on the ANB angle (Angle formed by point A and point B at the nasion). Subjects with skeletal malocclusions were subdivided into two groups depending on the degree of crowding in the mandibular arch: Group 1 had crowding of < 3mm, and Group 2 had crowding of >3mm. On pretreatment casts, digital vernier calipers (Digimatic, Precise, India) were used to assess dental arch crowding, whereas, on a pretreatment lateral cephalogram, digital cephalometric analysis (Vistadent OC 1.1, USA) was done to quantify effective maxillary and mandibular length. Inter-group comparisons were assessed using a one-way analysis of variance. The correlation was assessed by Pearson’s correlation coefficient (p≤0.05).Results: There was a statistically significant difference in effective maxillary and mandibular length among skeletal malocclusions (p<0.05). Skeletal Class II malocclusion had the greatest mandibular crowding, while skeletal Class III malocclusion had the least. The effective maxillary and mandibular lengths and dental crowding had a significant but weak inverse correlation, whereas a strong but moderate positive correlation existed between the maxillary and mandibular effective lengths (r=0.674) and also between maxillary and mandibular crowding (r=0.631).Conclusion: Effective maxillary length was highest in skeletal class II malocclusion whereas effective mandibular length was highest in skeletal class III malocclusion. The shorter effective maxillary and mandibular lengths showed a weak association with dental crowding.

Genetic Polymorphisms in FGFR2 Underlie Skeletal Malocclusion

2019 ◽  
Vol 98 (12) ◽  
pp. 1340-1347 ◽  
Author(s):  
Q. Jiang ◽  
L. Mei ◽  
Y. Zou ◽  
Q. Ding ◽  
R.D. Cannon ◽  
...  
Keyword(s):  
Osteogenic Differentiation ◽  
Bone Growth ◽  
Class Ii ◽  
Class I ◽  
Class Iii ◽  
Mobility Shift ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
The Common

Fibroblast growth factor receptor 2 ( FGFR2) in craniofacial bones mediates osteoprogenitor proliferation, differentiation, and apoptosis. The distortion of proper craniofacial bone growth may cause class II and class III skeletal malocclusion and result in compromised function and aesthetics. Here, we investigated the association between variations in FGFR2 and skeletal malocclusions. First, 895 subjects were included in a 2-stage case-control study with independent populations (stage 1: n = 138 class I, 111 class II, and 81 class III; stage 2: n = 279 class I, 187 class II, and 99 class III). Eight candidate single-nucleotide polymorphisms (SNPs) in FGFR2 were screened and validated. Five SNPs (rs2162540, rs2981578, rs1078806, rs11200014, and rs10736303) were found to be associated with skeletal malocclusions (all P < 0.05). That is, rs2162540 was significantly associated with skeletal class II malocclusion, while others were associated with skeletal class III malocclusion. Electrophoretic mobility shift assay and chromatin immunoprecipitation analysis showed that the common genotypes of rs2981578 and rs10736303 contained the binding sites of RUNX2 and SMAD4. Compared with the common genotypes, the minor genotypes at these 2 SNPs decreased the binding affinity and enhancer effect of RUNX2 and SMAD4, as well the levels of FGFR2 expression. In addition, FGFR2 expression contributed positively to osteogenic differentiation in vitro. Thus, we identified FGFR2 as a skeletal malocclusion risk gene, and FGFR2 polymorphisms regulated its transcriptional expression and then osteogenic differentiation.

Quantitative Analysis of Body Posture and Its Correlation With Cervical Posture in Various Malocclusions

2021 ◽  
Author(s):  
Shruthi Pradeep ◽  
Priyanka Venkatasubramanian ◽  
Ratna Parameswaran ◽  
Devaki Vijayalakshmi
Keyword(s):  
Class Ii ◽  
Body Posture ◽  
Force Platform ◽  
Class I ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Lateral Cephalograms ◽  
Cervical Posture

Abstract BACKGROUND: Considering that malocclusions can cause cervico-mandibular and cervico-cranial disorders, the aim of this study is to investigate whether there are significant differences in posture in subjects with skeletal class I, class II and skeletal class III malocclusion METHODS: A clinical study conducted on 90 subjects with Angle`s class I, II, III skeletal malocclusion. Standardized Casts of the subjects were used to analyze the tooth characteristics. Lateral cephalograms were used to assess cervical posture through cervical skull Rocabado analysis. A customized force platform with pressure sensors were used for posture analysis. RESULTS: There is a difference in body posture in subjects with skeletal class I, class II and class III malocclusion and a positive correlation between body posture and cervical posture is found in subjects with these classes of skeletal malocclusion. Subjects with class I malocclusion were found to have a normal cervical and body posture. Strain values from the force platform showed equal distribution of strain on both the feet. Subjects with class II malocclusion were found to have a forward cervical posture with the forward lean of body posture. Subjects with class III skeletal malocclusion were found to have a backward cervical posture with the posterior lean of body posture. CONCLUSION: The results suggest that different classes of malocclusion present with an alteration in cervical and body posture. Correction of the malocclusion or an intervention plan for the prevailing malocclusion should be done as early as possible which can be used to correct the posture thereby restoring the equilibrium of the body.

scholarly journals Perbedaan ukuran sinus maksilaris pada maloklusi kelas I, II, dan III skeletal ditinjau dari radiografi sefalometriThe difference in the maxillary sinus size of skeletal class I, II, and III malocclusions in terms of cephalometric radiographs

2021 ◽  
Vol 33 (1) ◽  
pp. 53
Author(s):  
Brandon Thamran ◽  
Mimi Marina Lubis
Keyword(s):  
Maxillary Sinus ◽  
Class Ii ◽  
Class I ◽  
Class Iii ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Significant Difference ◽  
Males And Females ◽  
The Mean

Pendahuluan: Ukuran sinus maksilaris dapat dipengaruhi maloklusi skeletal, oleh karena itu pengetahuan dalam perkembangan dan ukuran sinus maksilaris penting dalam diagnosa dan menentukan rencana perawatan kasus maloklusi. Tujuan penelitian untuk menganalisis perbedaan rerata ukuran sinus maksilaris pada maloklusi kelas I, II, dan III skeletal pada laki-laki dan perempuan. Metode: Jenis penelitian Penelitian deskriptif analitik dilakukan pada 96 pasien RSGM USU usia 18-35 tahun dengan Teknik purposive sampling, terdiri dari 27 relasi rahang Kelas I, 31 Kelas II dan 22 Kelas III. Subjek  diperoleh melalui pengukuran metode Steiner. Hasil tracing dipindahkan melalui scanner dan  pengukuran luas Sinus Maksilaris dengan program AutoCAD. Hasil: Rerata sinus maksilaris Kelas I skeletal adalah 1492,18268,44 mm2  untuk laki-laki dan 1614,80259,13 mm2 untuk perempuan p=0,275, maka tidak ada perbedaan signifikan antara rerata sinus maksilaris Kelas I skeletal pada laki-laki dan perempuan, Kelas II skeletal adalah 1879,75 mm2 untuk laki-laki dan 1544,41239,47 mm2 untuk perempuan diperoleh p=0,016, maka terdapat perbedaan signifikan antara rerata  sinus maksilaris Kelas II skeletal pada laki-laki dan perempuan, dan Kelas III skeletal adalah 1619,36 mm2 untuk laki-laki dan 1489,92 mm2 untuk perempuan diperoleh p=0,239, maka tidak ada perbedaan signifikan antara rerata  sinus maksilaris  Kelas III skeletal pada laki-laki dan perempuan. Rerata ukuran antar kelompok didapatkan 1572,93 263,72 mm2  untuk Kelas I skeletal, 1609,32 mm2 untuk Kelas II skeletal, dan 1531,11 mm2 untuk Kelas III skeletal dengan p=0,600, Hasil ini menunjukkan tidak ada perbedaan rerata  sinus maksilaris pada maloklusi Kelas I, Kelas II dan Kelas III skeletal. Simpulan: Tidak ada perbedaan pada rerata ukuran sinus maksilaris pada maloklusi Kelas I, Kelas II dan Kelas III skeletal.Kata kunci: Ukuran sinus maksilaris, maloklusi skeletal, analisa Steiner, radiogram sefalometri. ABSTRACTIntroduction: Maxillary sinus size can be affected by skeletal malocclusion. Therefore knowledge of maxillary sinus development and size is essential in diagnosing and determining the treatment plan for malocclusion cases. This study was aimed to analyse the mean difference in maxillary sinus size in skeletal class I, II, and III malocclusions in males and females. Methods: This type of study was a descriptive-analytic study conducted on 96 patients at Universitas Sumatera Utara Dental Hospital aged 18-35 years with a purposive sampling technique, consisting of 27 Class I, 31 Class II and 22 Class III jaw relations. Subjects were obtained by measuring the Steiner method. The tracing results were transferred through a scanner and measuring the maxillary sinus area using the AutoCAD program. Results: The mean skeletal Class I maxillary sinus was 1492.18268.44 mm2 for men and 1614,80259.13 mm2 for women p = 0.275, so there was no significant difference between the mean skeletal Class I maxillary sinus in males and females. Class II skeletal is 1879.75 mm2 for men and 1544.41239.47 mm2 for women obtained p = 0.016. Hence, there is a significant difference between the mean skeletal Class II maxillary sinus in males and females, and skeletal Class III is 1619.36 mm2 for men and 1489.92 mm2 for women obtained p = 0.239, so there was no significant difference between the mean skeletal Class III maxillary sinus in males and females. The mean size between groups was 1572.93 263.72 mm2 for skeletal Class I, 1609.32 mm2 for skeletal Class II, and 1531.11 mm2 for skeletal Class III with p = 0.600. skeletal Class I, Class II and Class III malocclusions. Conclusion: There was no difference in mean maxillary sinus size in skeletal Class I, Class II and Class III malocclusions.Keywords: Maxillary sinus size, skeletal malocclusion, Steiner analysis, cephalometric radiograph.

scholarly journals Evaluation of Facial Esthetics using Golden Proportion Values in Dravidian Population for Different Classes of Malocclusions

2020 ◽  
Vol 11 (SPL4) ◽  
pp. 418-422
Author(s):  
Prasanna Arvind T R ◽  
Navaneethan Ramasamy ◽  
Sri Rengalakshmi
Keyword(s):  
Class Ii ◽  
Class I ◽  
Class Iii ◽  
Golden Proportion ◽  
Skeletal Class ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Facial Esthetics ◽  
Significant Difference ◽  
Facial Proportions

Improvement in esthetic appearance and functional occlusion are the pillars of contemporary orthodontic procedures. The aim of this study was to assess variations in facial proportions between skeletal classes I, II, III populations in order to establish objective departures from Golden Proportion norms. The study sample was divided into three groups based on the skeletal malocclusion, namely skeletal class I, class II and class III groups. Various markers were identified in these photographs in order to define facial symmetry and balance with the ideal values. Golden Proportion values were compared with that of the obtained results, and these values were checked for skeletal class I, II, III malocclusions. Our study showed a significant difference between skeletal class II and III malocclusions when correlated with Golden Proportion values. Skeletal Class I malocclusions showed a greater correlation with golden proportion values. Golden proportion ratios are more valid in cases of skeletal class I malocclusions. Hence, the objective of treating class II and class III malocclusions should be more focused on attaining values closer to the desired ratio for optimal facial balance and symmetry.

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