An In vitro, Nonexperimental, Exploratory Research for the Development of a Guidance System to Identify Dental Implant System Used in India Based on Their Radiographic Appearance

Author:

Kute Sayali Ulhas1,Agrawal Amit Arvind1,Prakash Nilima2,Gulve Meenal N.3

Affiliation:

1. Department of Periodontics, MGV’s KBH Dental College and Hospital, Nashik, Maharashtra, India

2. Department of Oral Pathology, MGV’s KBH Dental College and Hospital, Nashik, Maharashtra, India

3. Department of Conservative Dentistry and Endodontics, MGV’s KBH Dental College and Hospital, Nashik, Maharashtra, India

Abstract

Introduction: Identifying an osseointegrated dental implant could become vitally important in case some other clinician tries to restore it and plays a vital role in forensic odontology. However, existing ways to identify them are very crude and nonspecific. In addition, they are not focusing on implants used frequently in India. Aims: The aim of this study was to design a guidance system to identify different implant systems and their subtypes used in India and to evaluate the efficiency of this guidance system to identify an unknown dental implant. Materials and Methods: Radiographs of the 15 most common dental implant systems used in India were analyzed and categorized based on their morphological appearance under the headings. Nontapered or tapered/threaded or not, neck design, thread length, shape, etc., were observed on intraoral periapical radiographs, and a guidance system in the form of a flow chart was made. Based on the flow chart, 15 randomized assessor-blinded radiographs were tested for the accuracy of the guidance system that was developed. The Chi-square test was used at a 95% confidence interval to determine the accuracy of the guidance system used for the identification of assessor-blinded radiographs. Results: The newly designed dental implant identification guidance system effectively identified 14 out of 15 unknown implant radiographs among implant systems and subtypes used in this study. Nonparametric Chi-square test was applied and the results were highly significant (P < 0.05). Conclusions: The guidance system developed has the potential to identify the implant system mentioned in this study based on its radiographic appearance.

Publisher

Medknow

Subject

Applied Mathematics

Reference11 articles.

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