A three-dimensional soft tissue analysis of Class III malocclusion: a case-controlled cross-sectional study

Background: The primary aim of this study was to assess the esthetic profile and hard and soft tissue changes in patients with borderline class III malocclusion after maxillary advancement or mandibular setback surgery. The secondary aim was also to evaluate the patients’ face attractiveness after different surgical treatment. Materials and Methods: This observational cross-sectional study evaluated 50 patients with borderline class III malocclusion with a mean age of 29 ± 4 years treated from 2014 to 2019. They were divided into two groups based on the type of surgical treatment underwent: 13 patients were treated with mandibular setback (4 males, 9 females), and 37 patients with maxillary advancement (16 males, 21 females). Hard and soft tissue parameters were measured pre and postoperative evaluation. Frontal and profile photographs of these patients were judged by 15 orthodontists, 15 oral and maxillofacial surgeons, and 15 laypeople before and after surgery. The most and the least attractive profiles were scored 10 and 0, respectively. T-test was used to analyze normally distributed data while Mann-Whitney test for non-normally distributed data. The Kruskal-Wallis test was used to compare the esthetic judgement between the three groups of observers. Pairwise comparisons were carried out using the Mann-Whitney test. Results: Nasolabial angle, SNA, U1/NA (°), U1/NA (mm), L1/NB (°) and L1/NB (mm) were significantly different between the two groups p<0.04, p<0.001, p<0.001, p<0.005, p<0.07, p<0.08, p<0.01 respectively Orthodontists, oral and maxillofacial surgeons, and laypeople all gave a lower score to mandibular setback and higher score to maxillary advancement in terms of facial profile esthetics (P<0.001). Conclusion: Some cephalometric parameters were significantly different between the two groups. The maxillary advancement seemed to provide better results in facial profile esthetics than mandibular setback for patients with borderline class III malocclusion.

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ORTHODONTIC PATIENTS

The Professional Medical Journal ◽

10.29309/tpmj/2011.18.04.2648 ◽

2011 ◽

Vol 18 (04) ◽

pp. 611-614

Author(s):

RANA MODASSIR SHAMSHER KHAN ◽

ALI SAAD TARIQ

Keyword(s):

Total Sample ◽

Class Ii ◽

Cross Sectional Study ◽

Class Ii Malocclusion ◽

Class Iii ◽

Sectional Study ◽

Class Iii Malocclusion ◽

Cross Sectional ◽

Orthodontic Patients ◽

Males And Females

Objectives: To find out the prevalence of malocclusion in patients visiting orthodontic department of Lahore medical and dental college (LMDC). Study Design: It is a cross sectional study. Place of study: Orthodontic department, Lahore medical and dental College. Lahore. Material and methods: Malocclusion was clinically examined by using Angle’s classification in 1143 patients (708 girls and 435 boys). Results: Class I malocclusion was found in 23.27% of the total sample. Class II malocclusion was found in 53.19% and Class III malocclusion in 8.66% of sample. No statistically significant differences were found in distribution of malocclusion between males and females. Conclusions: The study revealed that Class II malocclusion predominated among patients visiting orthodontic department of LMDC.

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Evaluation depth of the curve of Spee in class I, class II, and class III malocclusion: A cross sectional study

Journal of Pharmacy And Bioallied Sciences ◽

10.4103/0975-7406.155821 ◽

2015 ◽

Vol 7 (5) ◽

pp. 94 ◽

Cited By ~ 2

Author(s):

Sanjna Nayar ◽

V Dinakarsamy ◽

S Santhosh

Keyword(s):

Class Ii ◽

Cross Sectional Study ◽

Class I ◽

Class Iii ◽

Sectional Study ◽

Class Iii Malocclusion ◽

Cross Sectional ◽

Curve Of Spee

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PR139: Association between periodontal biotype and clinical parameters: a cross-sectional study in patients with skeletal class III malocclusion

Journal Of Clinical Periodontology ◽

10.1111/jcpe.140_12915 ◽

2018 ◽

Vol 45 ◽

pp. 167-167

Keyword(s):

Cross Sectional Study ◽

Clinical Parameters ◽

Class Iii ◽

Sectional Study ◽

Class Iii Malocclusion ◽

Cross Sectional ◽

Skeletal Class ◽

Periodontal Biotype

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In-House, Open-Source 3D-Software-Based, CAD/CAM-Planned Mandibular Reconstructions in 20 Consecutive Free Fibula Flap Cases: An Explorative Cross-Sectional Study With Three-Dimensional Performance Analysis

Frontiers in Oncology ◽

10.3389/fonc.2021.731336 ◽

2021 ◽

Vol 11 ◽

Author(s):

Lucas M. Ritschl ◽

Paul Kilbertus ◽

Florian D. Grill ◽

Matthias Schwarz ◽

Jochen Weitz ◽

...

Keyword(s):

Open Source ◽

Dimensional Analysis ◽

Open Source Software ◽

Three Dimensional ◽

Cross Sectional Study ◽

Sectional Study ◽

Free Fibula Flap ◽

Cross Sectional ◽

Cad Cam ◽

Free Fibula

BackgroundMandibular reconstruction is conventionally performed freehand, CAD/CAM-assisted, or by using partially adjustable resection aids. CAD/CAM-assisted reconstructions are usually done in cooperation with osteosynthesis manufacturers, which entails additional costs and longer lead time. The purpose of this study is to analyze an in-house, open-source software-based solution for virtual planning.Methods and MaterialsAll consecutive cases between January 2019 and April 2021 that underwent in-house, software-based (Blender) mandibular reconstruction with a free fibula flap (FFF) were included in this cross-sectional study. The pre- and postoperative Digital Imaging and Com munications in Medicine (DICOM) data were converted to standard tessellation language (STL) files. In addition to documenting general information (sex, age, indication for surgery, extent of resection, number of segments, duration of surgery, and ischemia time), conventional measurements and three-dimensional analysis methods (root mean square error [RMSE], mean surface distance [MSD], and Hausdorff distance [HD]) were used.ResultsTwenty consecutive cases were enrolled. Three-dimensional analysis of preoperative and virtually planned neomandibula models was associated with a median RMSE of 1.4 (0.4–7.2), MSD of 0.3 (-0.1–2.9), and HD of 0.7 (0.1–3.1). Three-dimensional comparison of preoperative and postoperative models showed a median RMSE of 2.2 (1.5–11.1), MSD of 0.5 (-0.6–6.1), and HD of 1.5 (1.1–6.5) and the differences were significantly different for RMSE (p < 0.001) and HD (p < 0.001). The difference was not significantly different for MSD (p = 0.554). Three-dimensional analysis of virtual and postoperative models had a median RMSE of 2.3 (1.3–10.7), MSD of -0.1 (-1.0–5.6), and HD of 1.7 (0.1–5.9).ConclusionsOpen-source software-based in-house planning is a feasible, inexpensive, and fast method that enables accurate reconstructions. Additionally, it is excellent for teaching purposes.

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An epidemiological cross-sectional study to assess the socio-demographic profile and to study the prevalence of overweight and obesity among adults in an urban slum of Mumbai

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20173197 ◽

2017 ◽

Vol 4 (8) ◽

pp. 2718

Author(s):

Daniel A. Saji ◽

Mahesh B. Jajulwar ◽

Anita G. Shenoy

Keyword(s):

Significant Relationship ◽

Urban Slum ◽

Cross Sectional Study ◽

Overweight And Obesity ◽

Age Group ◽

Class Iii ◽

Sectional Study ◽

Cross Sectional ◽

Obesity Epidemic ◽

Economic Class

Background: Obesity is perhaps the most prevalent form of malnutrition. As a chronic disease, prevalent in both developed and developing countries, and affecting both children and adults. In India due urbanization and modernization people are moving into urban centres and along with increasing wealth, concerns about an obesity epidemic in India are growing. The present study was carried out to assess the demographic distribution and prevalence of overweight and obesity in adults in an urban slum. Methods: The cross sectional study includes 350 adult populations from the Shivaji Nagar (Govandi) urban slum of the Mumbai city in India and study was carried out over a period of one year from August 2014 to July 2015. Results: Our study showed that most of subjects are in the age group of 38-57. Sex distribution was relatively equal with 44% males and 56% females. Majority of the population were Muslims. Majority of the subjects (50.6%) belong to class III, (26.9%). 32.3% subjects were obese and 8.6% were overweight according to BMI (basal metabolic index) while merely 6.6% were overweight according to WHR (waist to hip ratio). Thus BMI was found to be a better indicator than WHR for measuring obesity. Conclusions: From the present study it was seen that age group of the subjects, socio economic class, and level of education had a significant relationship with BMI, whereas sex of the subjects had non-significant relationship with BMI.

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Prevalence of smartphone addiction in an urban area of Kanchipuram district, Tamil Nadu: a cross sectional study

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20194166 ◽

2019 ◽

Vol 6 (10) ◽

pp. 4218

Author(s):

Renuka K. ◽

Gopalakrishnan S. ◽

Umadevi R.

Keyword(s):

Mobile Phones ◽

Tamil Nadu ◽

Smart Phone ◽

Cross Sectional Study ◽

Study Data ◽

Smartphone Addiction ◽

Class Iii ◽

Sectional Study ◽

Cross Sectional ◽

Attitudinal Changes

Background: The use of mobile phones especially smart phones have become an integral part of everyone’s life leading to addiction. Most of the studies conducted earlier were focused on youngsters. Hence this study was conducted to find out the prevalence of smart phone addiction in the study area.Methods: Community based cross sectional study carried out in Anakaputhur, Tamil Nadu from November 2018 to January 2019. Sample size of 400 was calculated using the formula 4PQ/L2. The respondents were selected by systematic random sampling. Subjects 18 years and above who are using mobile phones were included in the study. Data was analyzed using SPSS 16 version and presented using descriptive and analytical statistics.Results: Out of 405 participants 191 participants were non smart phone users and 214 were smart phone users. Overall prevalence of smart phone addiction was 27.6%. Male respondents were more addicted than the female (OR-1.94, 95%CI: 1.12-3.77, p=0.01). There was a statistically significant association between subjects <45 years of age and smart phone addiction (OR-2.33, 95% CI: 1.31-4.13, p=0.003) compared to older age group. Likewise respondents who were class III (modified BG Prasad Scale) and above were more addicted compared to subjects below class III (OR-2.29, 95% CI: 1.32-3.98, p=0.002).Conclusions: The prevalence of smart phone addiction is high that has to be addressed seriously. This can be tackled by better life style modification, awareness creation and attitudinal changes.

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