Analysis of maxillary anterior teeth proportion in relationship with lower facial height and malocclusion

Author:

Gyawali Rajesh,Singh Varun Pratap

Abstract

Background & Objectives: Maxillary anterior tooth to tooth proportion has a special value in dental esthetics. This study aimed to assess the apparent proportion of maxillary anteriors and possible association with lower anterior facial height and malocclusion type. Materials & Methods: One-hundred and sixty samples with well aligned maxillary dentition were selected and the lower anterior facial height was measured with digital caliper. Molar relationship was examined and intraoral frontal photograph was taken for digital measurement of tooth proportion. The ratio of maxillary canine to lateral and lateral to central incisors were measured and compared between gender and the sides. These ratios were further compared among various malocclusion type using ANOVA and its association with lower anterior facial height was evaluated with Pearson’s correlation.Results: Most of the samples had Class I molar relationship (70%) followed by Class II (23%) and Class III (7%). The mean lower anterior facial height was 62.82mm and ratio of maxillary lateral to central incisor and canine to lateral incisor was 0.68 and 0.76 respectively. No statistically significant difference was found when the ratio was compared between the gender and the sides. These ratios were statistically different from the golden ratio and has no significant correlation with lower anterior facial height. These mean ratios were also found similar across the malocclusion type.Conclusion: Ratio of apparent dimension of maxillary canine to lateral incisor and lateral to central incisor was different from the golden ratio and showed no association with lower anterior facial height and malocclusion type.

Publisher

Nepal Journals Online (JOL)

Subject

Applied Mathematics,General Mathematics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3