scholarly journals The duration of pubertal growth peak among three skeletal classes

2016 ◽  
Vol 21 (5) ◽  
pp. 67-74 ◽  
Author(s):  
Waqar Jeelani ◽  
◽  
Mubassar Fida ◽  
Attiya Shaikh ◽  
◽  
...  

ABSTRACT Introduction: Pubertal growth peak is closely associated with a rapid increase in mandibular length and offers a wide range of therapeutic modifiability. Objective: The aim of the present study was to determine and compare the mean ages of onset and duration of pubertal growth peak among three skeletal classes. Methods: A retrospective cross-sectional study was conducted using lateral cephalograms of 230 subjects with growth potential (110 males, 120 females). Subjects were categorized into three classes (Class I = 81, Class II = 82, Class III = 67), according to the sagittal relationship established between the maxilla and the mandible. The cervical vertebral maturation stage was recorded by means of Baccetti's method. The mean ages at CS3 and CS4 and the CS3-CS4 age interval were compared between boys and girls and among three skeletal classes. Results: Pubertal growth peak occurred on average four months earlier in girls than boys (p = 0.050). The average duration of pubertal growth peak was 11 months in Class I, seven months in Class II and 17 months in Class III subjects. Interclass differences were highly significant (Cohen's d > 0.08). However, no significant difference was found in the timing of pubertal growth peak onset among three skeletal classes (p = 0.126 in boys, p = 0.262 in girls). Conclusions: Girls enter pubertal growth peak on average four months earlier than boys. Moreover, the duration of pubertal growth peak is on average four months shorter in Class II and six months longer in Class III subjects as compared to Class I subjects.

Author(s):  
Bharat Kumar ◽  
Muhammad Abbas ◽  
Asma Naz ◽  
Naresh Kumar ◽  
Shahid Ali ◽  
...  

Objective: The objective of this study was to evaluate the mean distance between the vibrating line and fovea palatinae in Class I, Class II and Class III Soft Palate types. Methodology: This study was conducted at Dr. Ishrat-ul-Ebad Khan Institute of Oral Health Sciences Karachi among 197patients. Duration of study was six months. All patients were examined for vibrating line clinically, assessed using phonation method. Subsequently, distance between vibrating line and fovea paltatinae was measured with uncalibrated compass in various contours of soft palate. Results: Out of 197 patient, the vibrating line was seen in130 (64%) anterior to fovea palatinae, whereas, 67 (34%) vibrating line was at the fovea palatinae. The mean distance of those anterior located vibrating line from fovea palatine was calculated as 2.13 (±0.82) mm in Class, 2.07 (±0.69) mm in Class II and 1.80 (±0.82) mm in Class III soft palate contours. Statistical analysis showed no significant between gender, while statistically significant difference among age group and mean distance of anterior located vibrating line from fovea palatinae were found. Conclusions: The mean distance of vibrating line which is predominately found anterior to the fovea palatinae was 2.07 (±0.77) mm.


2014 ◽  
Vol 4 (2) ◽  
pp. 16-20
Author(s):  
Sonahita Agarwal ◽  
Jitendra Bhagchandani ◽  
Praveen Mehrotra ◽  
Sudhir Kapoor ◽  
Raj Kumar Jaiswal

Introduction: Cephalometric analysis forms the backbone of orthodontic diagnosis and treatment planning. However most of the angles used to assess antero-posterior jaw base discrepancy are based on landmarks that change with age, jaw rotation and orthodontic treatment. Walkers point is one landmark that has been suggested to be stable and easy to locate on radiograph.Objective: To derive SAR angle based on Walkers point, points M and G to assess true sagittal discrepancy.Materials & method: Sixty pretreatment lateral cephalograms of North Indian subjects were grouped in three classes of skeletal pattern based on fulfillment of any two of the three criteria: ANB angle, Witt’s appraisal and Beta angle. The mean and SD for the SAR angle in three groups were calculated. ANOVA one-way of variance and Newman-Keuls tests were done to compare the groups.Result: The mean value for SAR angle of Class I skeletal pattern group was 55.98o (SD 2.24), whereas mean value for Class II and Class III skeletal groups were 50.18o and 63.65o with standard deviations 2.70 and 2.25 respectively. The receiver operating characteristic curves show that the cutoff point between Class I and Class II groups could be considered a SAR angle of approximately 53o, and the cutoff point between Class I and Class III groups could be considered a SAR angle of approximately 59o.Conclusion: The SAR angle can be a reliable diagnostic aid to assess the sagittal jaw discrepancy more consistently.


2016 ◽  
Vol 6 (2) ◽  
pp. 7-9
Author(s):  
Hemant Kumar Halwai ◽  
Vanita Gautam ◽  
Manju Pandey

Objective: To determine the distribution of different skeletal pattern in orthodontic patients visiting a tertiary center in midwestern Nepal.Materials & Method: A sample of 200 lateral cephalograms of Nepali patients visiting UCMS-College of Dental Surgery, Bhairahawa was obtained. The jaw base relationship was assessed from lateral cephalograms using angular measurement (ANB angle). Among the total sample size; 74 (37%) were males and 126 (63%) were female. Age was divided into 3 groups: 8-11 years, 12-17 years, and 18-36 years. Pearson Chi square test was done to test the association between age group and distribution of skeletal jaw base relationship. All data were recorded and analyzed with SPSS software.Result: The distribution of skeletal malocclusion according to ANB angle classification revealed that the most prevalent skeletal malocclusion was Class II skeletal jaw base relationship accounting up to 97(48.5%), followed by Class I 87(43.5%) and Class III 16(8%). The study showed statistically significant difference between gender and distribution of skeletal jaw base relationship (p<0.05). However, there was no significant difference between the age groups and distribution of skeletal jaw base relationship (p<0.05).Conclusion: Most common skeletal jaw base relationship in patients seeking orthodontic patients was Class II followed by Class I and Class III in a tertiary center of mid-western Nepal. 


2021 ◽  
Vol 33 (1) ◽  
pp. 53
Author(s):  
Brandon Thamran ◽  
Mimi Marina Lubis

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.


Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 413
Author(s):  
Hui-Ling Chen ◽  
Jason Chen-Chieh Fang ◽  
Chia-Jung Chang ◽  
Ti-Feng Wu ◽  
I-Kuan Wang ◽  
...  

Background. Previous studies have shown that environmental cadmium exposure could disrupt salivary gland function and is associated with dental caries and reduced bone density. Therefore, this cross-sectional study attempted to determine whether tooth decay with tooth loss following cadmium exposure is associated with some dental or skeletal traits such as malocclusions, sagittal skeletal pattern, and tooth decay. Methods. Between August 2019 and June 2020, 60 orthodontic patients with no history of previous orthodontics, functional appliances, or surgical treatment were examined. The patients were stratified into two groups according to their urine cadmium concentrations: high (>1.06 µg/g creatinine, n = 28) or low (<1.06 µg/g creatinine, n = 32). Results. The patients were 25.07 ± 4.33 years old, and most were female (female/male: 51/9 or 85%). The skeletal relationship was mainly Class I (48.3%), followed by Class II (35.0%) and Class III (16.7%). Class I molar relationships were found in 46.7% of these patients, Class II molar relationships were found in 15%, and Class III molar relationships were found in 38.3%. The mean decayed, missing, and filled surface (DMFS) score was 8.05 ± 5.54, including 2.03 ± 3.11 for the decayed index, 0.58 ± 1.17 for the missing index, and 5.52 ± 3.92 for the filled index. The mean index of complexity outcome and need (ICON) score was 53.35 ± 9.01. The facial patterns of these patients were within the average low margin (26.65 ± 5.53 for Frankfort–mandibular plane angle (FMA)). There were no significant differences in the above-mentioned dental indices between patients with high urine cadmium concentrations and those with low urine cadmium concentrations. Patients were further stratified into low (<27, n = 34), average (27–34, n = 23), and high (>34, n = 3) FMA groups. There were no statistically significant differences in the urine cadmium concentration among the three groups. Nevertheless, a marginally significant p-value of 0.05 for urine cadmium concentration was noted between patients with low FMA and patients with high FMA. Conclusion. This analysis found no association between environmental cadmium exposure and dental indices in our orthodontic patients.


2013 ◽  
Vol 84 (2) ◽  
pp. 304-309 ◽  
Author(s):  
Susan N. Al-Khateeb ◽  
Emad F. Al Maaitah ◽  
Elham S. Abu Alhaija ◽  
Serene A. Badran

ABSTRACT Objective: To assess the morphology and dimensions of mandibular symphysis (MS) in different anteroposterior jaw relationships and to investigate whether craniofacial parameters have any correlation with its shape and/or dimensions. Materials and Methods: Lateral cephalograms of subjects with Class I, Class II, and Class III skeletal relationships were traced. Several craniofacial and MS parameters were measured. MS parameters were compared between the three groups using analysis of variance and were correlated with the craniofacial parameters using the Pearson correlation coefficient. Results: Larger angle of concavity of the chin, more inclination of the alveolar bone toward the mandibular plane, and larger MS dimensions and area (P &lt; .001) were found with a Class III skeletal relationship compared to Class I and Class II relationships. The Pearson correlation coefficient between Id-Me and AFH was r  =  0.83 and between Id-Me and LAFH it was r  =  0.81. Conclusions: The dimensions and configuration of MS in the Class III relationship were different than those in Class I and Class II relationships; the alveolar part of MS compensated for the skeletal relationship in the Class III pattern. MS dimensions were strongly correlated to anterior facial dimensions.


2015 ◽  
Vol 19 (1) ◽  
pp. 13-20 ◽  
Author(s):  
A. Diamantidou ◽  
N. Topouzelis ◽  
S. Sidiropoulou-Hadjigianni ◽  
N. Gkantidis

SUMMARYObjectives: To investigate potential differences in the pharynx, the soft palate, the pharyngeal tonsil, and the tongue between patients with different Angle Classes of malocclusion.Study Design: Pre-treatment lateral cephalograms of 116 normal breathing individuals aged between 9 and 12 years were analyzed. 20 linear and 4 angular measurements, as well as 5 variables concerning the surface area of the pharynx and the soft palate were evaluated.Results: The angle formed by the palatal plane and the base of the skull had lower values in Class II groups. The soft palate height was smaller in Class II, div. 1 group. The angle between the soft and hard palates was smaller in Class III, followed by Class I, Class II, div. 2, and Class II, div. 1, with increasing values. The distance of the tongue from the palatal plane was larger in Class I and Class III groups. The surface area of the oropharynx was larger in Class III than in Class II groups. The total surface area of the pharynx had higher values in Class III than in Class II/1.Conclusion: Subjects with Class II malocclusion may be more prone to develop respiratory related disorders, such as obstructive sleep apnea, followed by Class I and Class III subjects.


2015 ◽  
Vol 5 ◽  
pp. 151-155
Author(s):  
Divi Mittal ◽  
Shivanand Venkatesh ◽  
Prashantha Govinakovi Shivamurthy ◽  
Silju Mathew

Aim The purpose of this investigation was to (1) compare the credibility of four recently introduced cephalometric measurements in assessing the antero-posterior jaw relationship; (2) To assess the correlation between various measurements used for assessment of antero-posterior discrepancy, including Yen linear, Yen angle, W angle and Pi angle. Materials and Methods The sample size for the study consisted of 45 subjects with age group of 15-19 years (mean age 17 ± 2.1) and was subdivided into Skeletal Class I, II and III groups of 15 each based upon the ANB angle derived from the pre treatment lateral cephalogram. Landmarks were located and Yen angle, Yen linear, W angle and Pi angle were assessed for each group. All the lateral cephalograms were traced by a single examiner. Intra examiner reliability was assessed by Intraclass co-efficient correlation (ICC) test. Correlation coefficients were obtained for each of parameters to compare their relationship with other parameters in Class I group. Receiver operating characteristics (ROC) curves were run to examine sensitivity and specificity of all the angles. Results The results showed that ICC for all the groups were ≥0.90 showing good repeatability of the measurements. There was statistically significant correlation between Yen angle and ANB angle, Yen linear and Yen angle for Class I group, between W angle and Yen angle for Class II group, between Yen angle, Yen linear and ANB for Class III group. ROC curves showed that Pi angle had 100% sensitivity and specificity to discriminate a Class II and a Class III group from a Class I and a Class III group from a Class II. Yen linear and W angle showed very low specificity to differentiate a Class II from a Class I group. Interpretation and Conclusion The new parameters considered in the study were found to be equally reliable and are not affected much by local remodeling due to tooth movements or by occlusal or Frankfurt horizontal plane. These parameters measure the antero-posterior discrepancy more consistently and accurately, with Pi angle being the most accurate.


2021 ◽  
Vol 10 (23) ◽  
pp. 5644
Author(s):  
Yu-Chuan Tseng ◽  
Shih-Wei Liang ◽  
Szu-Ting Chou ◽  
Shih-Chieh Chen ◽  
Chin-Yun Pan ◽  
...  

This study investigated the relationship between the thickness of the ramus and skeletal patterns using cone-beam computed tomography (CBCT) for sagittal split ramus osteotomy. Ninety participants were categorized into three skeletal patterns (Class I, Class II, and Class III). The first vertical slice (slice 0) was observed in the intact mandibular canal, and then moved forward to 40 mm (slice 21) with a 2 mm interval. The thickness of buccal bone marrow (B value) was measured. A B value of ≤0.8 mm was considered to be the major risk factor causing the occurrence of postoperative lower lip paresthesia. There were 461 sides with a B value of ≤0.8 mm. There was a significant difference in the skeletal patterns [Class III (198 sides: 15.7%) > Class I (159 sides: 12.6%) > Class II (104 sides: 8.3%)]. Class II participants had significantly larger B values (2.14 to 3.76 mm) and a lower occurrence rate (≤0.8 mm) than those of Class III participants (1.5 to 3 mm) in front of the mandibular foramen (from 6 mm to 20 mm). Class III participants had significantly shorter buccal bone marrow distance and a higher occurrence rate of B values (≤0.8 mm) than Class II.


2015 ◽  
Vol 5 ◽  
pp. 255-261
Author(s):  
D. K. Mahamad Iqbal ◽  
Vivek B. Amin ◽  
Rohan Mascarenhas ◽  
Akther Husain

Objective The objectives of this study were to determine the thickness of skull bones, namely frontal, parietal, and occipital bones in Class I, Class II, and Class III patients. Materials and Methods Three hundred subjects who reported to the Department of Orthodontics requiring orthodontic treatment within the age group 17-35 were selected for the study. They were subdivided into three groups of 100 each according to the skeletal and dental relation. Profile radiographs were taken and the tracings were then scanned, and uploaded to the MATLAB 7.6.0 (R 2008a) software. The total surface areas of the individual bones were estimated by the software, which represented the thickness of each bone. Result Frontal bone was the thickest in Class III malocclusion group and the thinnest in Class II malocclusion group. But the parietal and occipital bone thickness were not significant. During gender differentiation in Class I, malocclusion group frontal bone thickness was more in males than females, In Class II, malocclusion parietal bone thickness was more in males than females. No statistically significant difference exists between genders, in Class III malocclusion group. During inter-comparison, the frontal bone thickness was significant when compared with Class I and Class II malocclusion groups and Class II and Class III malocclusion groups. Conclusion The differences in skull thickness in various malocclusions can be used as an adjunct in diagnosis and treatment planning for orthodontic patients. It was found that the new method (MATLAB 7.6.0 [R 2008a] software) of measuring skull thickness was easier, faster, precise, and accurate.


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