scholarly journals A descriptive study of bone density based on angle’s malocclusion classification on female patients aged 13–30 years old on panoramic radiograph

2017 ◽  
Vol 2 (2) ◽  
pp. 86
Author(s):  
Pei C. Ling ◽  
Ria N. Firman ◽  
Farina Pramanik
Keyword(s):  
Bone Density ◽  
Panoramic Radiograph ◽  
Descriptive Study ◽  
Class Ii ◽  
Class I ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Female Patients ◽  
The Mean ◽  
Imagej Software

Objective: This study was performed to determine the bone density based on angle’s malocclusion classification on female patients aged 13–30 years old using panoramic radiograph.Material and Methods: Ninety digital panoramic radiographs of female patients aged 13–30 years old and with 30 radiographs representing each of the angle’s malocclusion classes (class I, class II, class III) were used. The bone density was measured by using ImageJ software with 20 x 20 pixels intensity by using a method based on the mental index (MI).Results: The mean bone density of female patients aged 13–30 years old with angle’s malocclusion of class I was 18.726% of cortical and 81.274% of marrow, class II was 16.804% of cortical and 83.196% of marrow, and class III was 15.911% of cortical and 84.089% of marrow.Conclusion: The bone density of female patients aged 13–30 years old with angle’s class I malocclusion was higher than class II and class II malocclusion had higher bone density than class III on panoramic radiograph.

scholarly journals Environmental Cadmium Exposure and Dental Indices in Orthodontic Patients

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 ◽  
...  
Keyword(s):  
Cadmium Concentration ◽  
Class Ii ◽  
Cadmium Exposure ◽  
Class I ◽  
P Value ◽  
Tooth Decay ◽  
Class Iii ◽  
Orthodontic Patients ◽  
Urine Cadmium ◽  
The Mean

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.

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 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 ◽  
◽  
...  
Keyword(s):  
Class Ii ◽  
Growth Potential ◽  
Class I ◽  
Maturation Stage ◽  
Class Iii ◽  
Pubertal Growth ◽  
Lateral Cephalograms ◽  
Wide Range ◽  
Significant Difference ◽  
The Mean

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.

scholarly journals Validity of Index of Orthodontic Treatment Complexity in Assessing Complexity of Treatment among the Malocclusion Groups

2021 ◽  
Vol 10 (14) ◽  
pp. 1003-1007
Author(s):  
Sriman Vishnu ◽  
Saravanakumar Subranmanian ◽  
Prema Anbarasu ◽  
Nagappan Nagappan ◽  
Annamalai P.R. ◽  
...  
Keyword(s):  
Orthodontic Treatment ◽  
Predictor Variable ◽  
Correlation Coefficients ◽  
Class Ii ◽  
Class I ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Division 1 ◽  
Treatment Complexity

BACKGROUND To provide efficient and well-planned orthodontic treatment orthodontists must be able to assess the type of malocclusion and the complexity involved in its treatment. Hence, the purpose of this study was to validate index of orthodontic treatment complexity (IOTC) as a reliable index to assess the treatment complexity in treating different malocclusion groups. METHODS A retrospective study with sample of 120 pairs of orthodontic study model consisting of treated and untreated cases, were collected and equally divided into class I, class II including both division 1 and division 2 and class III malocclusions based on Angles system of classification of malocclusion. Study casts were scored according to criteria given by the index of orthodontic treatment complexity and the degree of complexity is established for each of the malocclusion groups and the occlusal traits. RESULTS The Spearman correlation coefficients test shows that occlusal traits like overjet, centreline discrepancy, molar correction, overbite, crowding, posterior cross bite, alone significantly correlated with degree of complexity. Multiple regression analysis and one way ANOVA tests were performed for the three types of malocclusion and the test showed that in individual classes of malocclusion, the predictor variable (occlusal traits) significantly predicts the degree of complexity in class I and class II malocclusion cases, but not in class III. CONCLUSIONS Overjet, centreline discrepancy, molar correction, overbite, crowding, posterior cross bite correlated with degree of complexity. IOTC forecasts the degree of complexity in class I and class II malocclusion cases, but not in class III. KEY WORDS IOTC, Malocclusion, Occlusal Traits

scholarly journals Skull bone thickness versus malocclusion

2015 ◽  
Vol 5 ◽  
pp. 255-261
Author(s):  
D. K. Mahamad Iqbal ◽  
Vivek B. Amin ◽  
Rohan Mascarenhas ◽  
Akther Husain
Keyword(s):  
Class Ii ◽  
Parietal Bone ◽  
Frontal Bone ◽  
Class I ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Bone Thickness ◽  
Significant Difference ◽  
Skull Thickness

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.

scholarly journals Evaluating Distance between Vibrating Line and Fovea Palatinae in Class I, Class II and Class III Soft Palate Types

2021 ◽  
pp. 78-86
Author(s):  
Bharat Kumar ◽  
Muhammad Abbas ◽  
Asma Naz ◽  
Naresh Kumar ◽  
Shahid Ali ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Oral Health ◽  
Soft Palate ◽  
Class Ii ◽  
Health Sciences ◽  
Class I ◽  
Age Group ◽  
Class Iii ◽  
Significant Difference ◽  
The Mean

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.

scholarly journals Class II subdivision treatment with the Herbst appliance

2012 ◽  
Vol 83 (2) ◽  
pp. 327-333 ◽  
Author(s):  
Niko C. Bock ◽  
Benjamin Reiser ◽  
Sabine Ruf
Keyword(s):  
Class Ii ◽  
Class I ◽  
Class Iii ◽  
Midline Shift ◽  
Herbst Appliance ◽  
Short Term ◽  
Retention Period ◽  
Mean Values ◽  
The Mean ◽  
Original Class

ABSTRACT Objective: To assess the effectiveness of Class II subdivision Herbst nonextraction treatment and its short-term stability retrospectively. Materials and Methods: Twenty-two Class II subdivision (SUB: right-left molar difference ≥0.75 cusp width) and 22 symmetric Class II patients (SYM: ≥0.75 cusp width bilaterally) were matched according to gender and pretreatment handwrist radiographic stage. The mean treatment duration of the Herbst and subsequent multibracket phase was 8 months and 14 months, respectively. The mean retention period amounted to 36 months. Dental casts from before treatment (T1), after Herbst treatment (T2), after Multibracket treatment (T3), and after retention (T4) were evaluated. Results: A bilateral Class I or super Class I molar relationship was seen in 72.7% (SUB) and 77.3% (SYM) at T3. The corresponding values at T4 were 63.7% (SUB) and 72.7% (SYM). A unilateral or bilateral Class III molar relationship was more frequent in the SUB group (T3: +4.6%; T4: +13.6%). For overjet, similar mean values were seen in both groups after treatment (T3: SUB, 2.7 mm; SYM, 2.3 mm) and after retention (T4: SUB, 3.0 mm; SYM, 3.4 mm). This was also true for the midline shift (T3: SUB, −0.4 mm; SYM, 0.0 mm; T4: SUB, −0.3 mm; SYM, 0.0 mm). Conclusion: Class II subdivision Herbst treatment was successful similarly to symmetric Class II Herbst treatment. However, a slight overcompensation of the molar relationship (Class III tendency) was more frequent in the subdivision patients (original Class I side).

scholarly journals Original Research. Correlation Between Cranial Base Morphology And Various Types Of Skeletal Anomalies

2017 ◽  
Vol 2 (s1) ◽  
pp. 57-61
Author(s):  
Irinel Panainte ◽  
Victor Suciu ◽  
Krisztina-Ildikó Mártha
Keyword(s):  
Class Ii ◽  
Cranial Base ◽  
Class I ◽  
Original Research ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Division 1 ◽  
Base Of The Skull ◽  
Cephalometric Study ◽  
Division 2

Abstract Background: Previous studies regarding various types of malocclusions have found correlations between the angle of the base of the skull and prognathism. Aim of the study: This cephalometric study sought to investigate the function of the cranium base angle in different types of malocclusion on a group of Romanian subjects. Materials and methods: Forty-four cephalometric radiographs were selected from patients referred to orthodontic treatment. The cephalometric records were digitized, and with the CorelDRAW Graphics Suite X5 software 22 landmarks have been marked on each radiograph. A number of linear and angular variables were calculated. Results: The angle of the base of the skull was found to be higher in Class II Division 1 subjects compared to the Class I group. The cranial base lengths, N-S and S-Ba, were significantly larger in both categories of Class II malocclusion than in Class I patients, but measurements were comparable in Class I and Class III. The SNA angle showed no considerable variation between Class I subjects and the other groups. SNA-SNP was significantly increased above Class I values in Class II Division1 and Class II Division 2 groups. No significant dissimilarities were observed for these lengths between Class I and Class III patients. Conclusions: The angle of the cranium base (S-N-Ba, S-N-Ar) does not have a major role in the progression of malocclusion. In Angle Class II malocclusion the SNA angle is increased, and SNB is increased in malocclusion Class III. The anterior skull base length is increased in Class II anomalies. The length of the maxillary bone base is increased in Class II malocclusions type; in Class III type of malocclusion the length of the mandible bone is increased.

scholarly journals Class II Skeletal Malocclusion and Prevalence of Temporomandibular Disorders. An Epidemiological Pilot Study on Growing Subjects

2021 ◽  
Vol 6 (3) ◽  
pp. 63
Author(s):  
Grazia Fichera ◽  
Vincenzo Ronsivalle ◽  
Simona Santonocito ◽  
Khaled S. Aboulazm ◽  
Gaetano Isola ◽  
...  
Keyword(s):  
Temporomandibular Disorders ◽  
Class Ii ◽  
Class I ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Predisposing Factor ◽  
Skeletal Malocclusion ◽  
Skeletal Class Ii ◽  
Group A ◽  
Male Subjects

The purpose of our work is to evaluate the correlation between skeletal Class II malocclusion and temporomandibular disorders, by assessing potential different frequency scores compared with Class I and Class III skeletal malocclusion, and to evaluate associated etiological and risk factors. Fifty-five subjects were examined, 35 females and 20 males, with a mean age of 18 ± 1.3 years, divided into two groups: those with TMD and those without TMD, and prevalence was evaluated in the two groups of Class II subjects. Symptoms and more frequent signs were also examined in the TMD group. Regarding Group A (subjects with the presence of TMD), we found that 48% have a Class II, 16% have Class I, and 28% have Class III. In the totality of the group A sample, only 8% were male subjects. In Group B (subjects without TMD), we found that 40% were females, with 26.7% in Class I, 10% in Class II, and 3.3% in Class III; the male subjects in this group (60%) were distributed with 33.3% in Class I, 16.7% in Class II, and 10% in Class III. Class II malocclusion is not a causal factor of TMD but may be considered a predisposing factor.

scholarly journals On anthropometric data of the male student candidates of the Institute of Sport Sciences and Physiotherapy at the University of Tartu in 2017

2020 ◽  
Vol 28 (2) ◽  
Author(s):  
Mart Lintsi ◽  
Rein Aule ◽  
Heiti Annus ◽  
Martin Mooses ◽  
Mehis Viru ◽  
...  
Keyword(s):  
Body Weight ◽  
Male Student ◽  
Class Ii ◽  
Class I ◽  
Average Weight ◽  
Class Iii ◽  
Ideal Weight ◽  
The Mean ◽  
The University ◽  
The Ideal

The purpose of this study was to investigate some anthropometric variables of student candidates of the Institute of Sport Sciences and Physiotherapy, Faculty of Medicine, University of Tartu in 2017. All anthropometric measurements were made according to the recommendations of R. Martin [7]. Comparison of the height and weight data of the studied subjects with the height and weight norms of Estonia provided by Kaarma et al. [9] revealed that the entrants were taller in height but with the same average weight. In our study, the somatotypes recommended by Kaarma et al. [9] were used for the first time on entrants to the university. Our study found that male student candidates’ body somatotypes were divided into SD classes as follows: small 8.6%, medium 22.9%, large 18.6%; subtypes of pycnomorphic somatotypes: 7.1% in class I, 1.4% in class II, and 8.6% in class III; leptomorphic somatotypes were divided: 11.4% in class I, none in class II and 31.4% in class III. Based on the recommendations of several authors, we calculated the ideal body weight for all the entrants enrolled in the study. Comparison of the average body weight of entrants with the average weight calculated using the ideal weight method revealed an interesting situation. Namely, the mean values calculated using the Devine (1974) formula did not differ statistically significantly from the mean of the measured weights (t=0.101, p> 0.05). Neither did Devine’s (1974) ideal weight and BMI, Rohrer’s index and ponderal index calculated from it, and the body surface calculated according to the formulas of Dubois and Dubois and Mosteller differ from the actual figures.

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