scholarly journals Prediction of the Dental Arch Perimeter in a Kurdish Sample in Sulaimani City Based on Other Linear Dental Arch Measurements as a Malocclusion Preventive Measure

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Fadil Abdullah Kareem ◽  
Aras Maruf Rauf ◽  
Arass Jalal Noori ◽  
Trefa M. Ali Mahmood

The current study aimed to find a prediction equation to estimate the arch perimeter (AP) depending on various arch dimensions including intercanine width (ICW), intermolar width (IMW), interpremolar width (IPMW), and arch length (AL) in a sample of the Kurdish population in Sulaimani City. The study sample was 100 pairs of preorthodontic dental casts. Calculations of dental arch dimensions and perimeter were performed by a digital vernier. Statistical analysis was performed via using the SPSS version 25 software. The developed prediction equation for the upper arch was Y = + 1.3 × arch   length + 1 × intermolar   width , whereas the equation for the lower arch was Y = + 0.9 × intermolar   width + 0.92 × intercanine   width . Paired t -test revealed no statistical difference between predicted and real arch perimeters. Two separate prediction equations for upper and lower arches were developed based on the arch length (AL) and intermolar width (IMW) for the maxillary arch, intermolar (IMW), and inter canine widths (ICW) for the lower arch. The developed equations could have further beneficial impacts on orthodontic diagnosis and treatment planning.

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Omnia A. Elhiny ◽  
Mohammed Abou Elyazied ◽  
Ghada A. Salem

Abstract Background The choice between extraction and expansion treatment is an endless debate in orthodontics. Ethnic and secular variations showed that there was a change in  arch perimeter over the last 50 years. Accordingly, the purpose of this study was to investigate the relation between the arch perimeter and the intercanine and intermolar widths in normal occlusion. Also, to design regression equations for the prediction of the arch perimeter based on arch width, in a sample of the Egyptian population. The images of 340 cast pairs for 11 to 13-year-old patients were traced using TracerNet. Intercanine width, intermolar width and arch perimeter were measured, statistical analysis was performed and regression equations for both arches were formulated. Results There was a positive correlation between the lower arch AP, ICW and IMW and between the upper arch AP and ICW. Lower arch perimeter = 0.536 I33 + 71.642, lower arch perimeter = 0.828 l66 + 58.604 and upper arch perimeter = 1.988 U33 + 30.492 were the significant derived equations. Conclusions The formulation of regression equations offers a tool for the prediction of arch perimeter or arch width that can act as a guide in diagnosis and treatment planning.


2020 ◽  
Vol 8 (4) ◽  
pp. 313-326
Author(s):  
Purv Shashank Patel ◽  
Purv S Patel ◽  
M Ganesh

Introduction: Orthodontists have relied on cephalometric radiographs for orthodontic diagnosis and treatment planning since the advent of cephalometric radiography. The variations in different ethnic groups within the same country creates a need for cephalometric norms for each of such ethnic groups. McNamara’s analysis is the most commonly used and most suitable for diagnosis and treatment planning. Aim: The study aims to formulate cephalometric norms for Gujarati boys and girls using McNamara’s analysis. Materials & Method: The sample of children for the study was selected from the government funded primary schools of Gujarat. The sample size consisted of 250 school going Gujarati children (125 boys and 125 girls) with age ranging from 9 to 12 years. Materials & Method: A digital lateral cephalograph was taken under standard conditions for all children and manual tracings were done for identifying all cephalometric landmarks. The analysis was done using McNamara’s analysis and statistical analysis was done Statistical Analysis: Gender differences were calculated using student’s t test. The software was utilized to calculate the mean value, standard deviation, range, maximum and minimum values for all parameters of McNamara’s analysis for Gujarati boys as well as girls. The inter examiner variability was tested using Karl Pearson correlation test. Results: The mean and standard deviation with minimum values, maximum values and range for each of 11 parameters were calculated for all male and female subjects. The gender differences were also calculated for all subjects. Conclusion: This study introduces cephalometric norms for the mixed dentition period using McNamara Analysis for Gujarati children residing in Ahmedabad – Gandhinagar districts of Gujarat which can be utilized for orthodontic treatment in the future.


2014 ◽  
Vol 19 (4) ◽  
pp. 71-79 ◽  
Author(s):  
Adriano Porto Peixoto ◽  
Ary dos Santos Pinto ◽  
Daniela Gamba Garib ◽  
João Roberto Gonçalves

INTRODUCTION: This study assessed the three-dimensional changes in the dental arch of patients submitted to orthodontic-surgical treatment for correction of Class II malocclusions at three different periods. METHODS: Landmarks previously identified on upper and lower dental casts were digitized on a three-dimensional digitizer MicroScribe-3DX and stored in Excel worksheets in order to assess the width, length and depth of patient's dental arches. RESULTS: During orthodontic preparation, the maxillary and mandibular transverse dimensions measured at the premolar regions were increased and maintained throughout the follow-up period. Intercanine width was increased only in the upper arch during orthodontic preparation. Maxillary arch length was reduced during orthodontic finalization, only. Upper and lower arch depths were stable in the study periods. Differences between centroid and gingival changes suggested that upper and lower arch premolars buccaly proclined during the pre-surgical period. CONCLUSIONS: Maxillary and mandibular dental arches presented transverse expansion at premolar regions during preoperative orthodontic preparation, with a tendency towards buccal tipping. The transverse dimensions were not altered after surgery. No sagittal or vertical changes were observed during the follow-up periods.


2012 ◽  
Vol 9 (1) ◽  
pp. 1-3
Author(s):  
Ashis Kumar Biswas ◽  
Gazi Shamim Hassan ◽  
Nasreen Akhter ◽  
Ranjit Ghosh ◽  
Mohammad Rakibul Islam Babu

Objectives : To study the variations in arch length among different classes of dento-alveolar malocclusion in the permanent dentition. Materials and Methods: Both male and female Bangladeshi subjects with permanent dentition who attended during 1st July 2007 to 1st January 2011 to the Department of Orthodontics, BSMMU for treatment were included in this study. Dental arch length were measured from dental casts of the permanent dentition of 96 Bangladeshi subjects of which 48 male, 48 female, 24 class 1, 24 class 2 div. I, 24 class 2 div. II, 24 class III. Arch length was measured by adapting a length of brass wire (diameter 0.5 mm) on the maxillary and mandibular arches. Comparison of arch length was done among different malocclusion classes. Results: In these study we found maxillary arch length was largest in class II div. 1 malocclusion. Mandibular arch length was highest in class III and lowest in class II div. 1 malocclusion. Least significant difference (LSD) is used to compare two of the four group. P<0.05 was set as the level of significance. Conclusions : Class III malocclusion has large lower arch and short upper arch. In Class II division 1, arch length is larger in upper than lower arch and Class II division 2 show the shortest maxillary arch length.DOI: http://dx.doi.org/10.3329/cdcj.v9i1.11827 City Dental College Journal Vol.9(1) 2012 1-3


2021 ◽  
pp. 146531252110218
Author(s):  
Jill Sweeney ◽  
Catherine McCann ◽  
Paul McLaughlin

Study models are frequently used in orthodontics and are a key part of both initial assessment and treatment planning. They are an important part of comprehensive orthodontic records; furthermore, study models are an essential diagnostic aid that can be studied in detail without the patient being present. We present a case of a 14-year-old boy with an abnormal palatal swelling detected by his specialist orthodontist after review of study models taken at the initial appointment. At the assessment alone, the significance of the abnormality was not recognised and without the help of study models, diagnosis and treatment of his fibrous dysplasia may have been significantly delayed.


1989 ◽  
Vol 16 (4) ◽  
pp. 645-658 ◽  
Author(s):  
Katherine Dryland Vig, BDS ◽  
Edward Ellis

2015 ◽  
Vol 2 ◽  
pp. 40-43
Author(s):  
Rudys Rodolfo de Jesus Tavarez ◽  
Adriana Santos Malheiros ◽  
Carolina Carramilo Raposo ◽  
Washington Luís Machado dos Reis

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Makeda Sinaga ◽  
Melese Sinaga Teshome ◽  
Tilhun Yemane ◽  
Elsah Tegene ◽  
David Lindtsrom ◽  
...  

Abstract Background Application of advanced body composition measurement methods is not practical in developing countries context due to cost and unavailability of facilities. This study generated ethnic specific body fat percent prediction equation for Ethiopian adults using appropriate data. Methods A cross-sectional study was carried ifrom February to April 2015 among 704 randomly selected adult employees of Jimma University. Ethnic specific Ethiopian body fat percent (BF%) prediction equation was developed using a multivariable linear regression model with measured BF% as dependent variable and age, sex, and body mass index as predictor variables. Agreement between fat percent measured using air displacement plethysmography and body fat percent estimated using Caucasian prediction equations was determined using Bland Altman plot. Results Comparison of ADP measured and predicted BF% showed that Caucasian prediction equation underestimated body fat percent among Ethiopian adults by 6.78% (P < 0.0001). This finding is consistent across all age groups and ethnicities in both sexes. Bland Altman plot did not show agreement between ADP and Caucasian prediction equation (mean difference = 6.7825) and some of the points are outside 95% confidence interval. The caucasian prediction equation significantly underestimates body fat percent in Ethiopian adults, which is consistent across all ethnic groups in the sample. The study developed Ethnic specific BF% prediction equations for Ethiopian adults. Conclusion The Caucasian prediction equation significantly underestimates body fat percent among Ethiopian adults regardless of ethnicity. Ethiopian ethnic-specific prediction equation can be used as a very simple, cheap, and cost-effective alternative for estimating body fat percent among Ethiopian adults for health care provision in the prevention of obesity and related morbidities and for research purposes.


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