Modified dental crowding treatment in mixed dentition

Author:

Krymovskyy KyrylORCID,Kaniura OleksandrORCID

Abstract

Dental crowding in mixed dentition is one of the most common orthodontic pathologies nowadays. According to modern literature database it’s prevalence reaches 77% and present at all occlusion periods, which is a significant sign of malocclusion’s severity.  The aim of our research is to develop rational treatment protocol of patients with dental crowding during mixed dentition period according to facial skeleton growth patterns and also to make comparative analysis of treatment efficiency by using traditional and suggested protocol. Patients in mixed dentition period with dental crowding (n=164) were examined over a period of last three years at the base of NMU O.O. Bogomolets Dental Center, Kyiv. A total of 328 CBCT sections of facial skeleton (medium FOV) before and after treatment were submitted to the general analysis. The results and conclusions of treatment efficiency analysis were carried out by using the suggested protocol of dental crowding treatment with different facial skeleton growth patterns. Results indicated an improvement in treatment efficiency of this pathology and significant treatment time shortening. The results obtained after 16 months in patients with a horizontal growth pattern indicate that  treatment efficiency value of clinical group (CG) II patients was 58.1±1.3%; after 17 months in patients with  vertical and neutral  growth patterns, treatment efficiency value of CG III was 66.7±1.6%, CG I - was 52.3±0.9%. The algorithm proposed by us allows  to shorten treatment duration by 3-4 months.

Publisher

Bogomolets National Medical University

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