Accuracy of manual and artificial intelligence-based superimposition of cone-beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study

IF 4.8 1区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Clinical Oral Implants Research Pub Date : 2024-06-10 DOI:10.1111/clr.14313

Panagiotis Ntovas, Laurent Marchand, Matthew Finkelman, Marta Revilla-León, Wael Att

{"title":"Accuracy of manual and artificial intelligence-based superimposition of cone-beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study","authors":"Panagiotis Ntovas, Laurent Marchand, Matthew Finkelman, Marta Revilla-León, Wael Att","doi":"10.1111/clr.14313","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>To investigate the accuracy of conventional and automatic artificial intelligence (AI)-based registration of cone-beam computed tomography (CBCT) with intraoral scans and to evaluate the impact of user's experience, restoration artifact, number of missing teeth, and free-ended edentulous area.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>Three initial registrations were performed for each of the 150 randomly selected patients, in an implant planning software: one from an experienced user, one from an inexperienced operator, and one from a randomly selected post-graduate student of implant dentistry. Six more registrations were performed for each dataset by the experienced clinician: implementing a manual or an automatic refinement, selecting 3 small or 3 large in-diameter surface areas and using multiple small or multiple large in-diameter surface areas. Finally, an automatic AI-driven registration was performed, using the AI tools that were integrated into the utilized implant planning software. The accuracy between each type of registration was measured using linear measurements between anatomical landmarks in metrology software.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Fully automatic-based AI registration was not significantly different from the conventional methods tested for patients without restorations. In the presence of multiple restoration artifacts, user's experience was important for an accurate registration. Registrations' accuracy was affected by the number of free-ended edentulous areas, but not by the absolute number of missing teeth (<i>p</i> < .0083).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>In the absence of imaging artifacts, automated AI-based registration of CBCT data and model scan data can be as accurate as conventional superimposition methods. The number and size of selected superimposition areas should be individually chosen depending on each clinical situation.</p>\n </section>\n </div>","PeriodicalId":10455,"journal":{"name":"Clinical Oral Implants Research","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Oral Implants Research","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/clr.14313","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives

To investigate the accuracy of conventional and automatic artificial intelligence (AI)-based registration of cone-beam computed tomography (CBCT) with intraoral scans and to evaluate the impact of user's experience, restoration artifact, number of missing teeth, and free-ended edentulous area.

Materials and Methods

Three initial registrations were performed for each of the 150 randomly selected patients, in an implant planning software: one from an experienced user, one from an inexperienced operator, and one from a randomly selected post-graduate student of implant dentistry. Six more registrations were performed for each dataset by the experienced clinician: implementing a manual or an automatic refinement, selecting 3 small or 3 large in-diameter surface areas and using multiple small or multiple large in-diameter surface areas. Finally, an automatic AI-driven registration was performed, using the AI tools that were integrated into the utilized implant planning software. The accuracy between each type of registration was measured using linear measurements between anatomical landmarks in metrology software.

Results

Fully automatic-based AI registration was not significantly different from the conventional methods tested for patients without restorations. In the presence of multiple restoration artifacts, user's experience was important for an accurate registration. Registrations' accuracy was affected by the number of free-ended edentulous areas, but not by the absolute number of missing teeth (p < .0083).

Conclusions

In the absence of imaging artifacts, automated AI-based registration of CBCT data and model scan data can be as accurate as conventional superimposition methods. The number and size of selected superimposition areas should be individually chosen depending on each clinical situation.

查看原文本刊更多论文

利用种植规划软件对锥形束计算机断层扫描与数字扫描数据进行人工叠加和人工智能叠加的准确性：随机临床研究。

研究目的研究传统和基于人工智能（AI）的锥束计算机断层扫描（CBCT）与口内扫描配准的准确性，并评估用户经验、修复假象、缺失牙数量和自由缺牙面积的影响：对随机抽取的 150 名患者分别在种植规划软件中进行了三次初始注册：一次来自经验丰富的用户，一次来自经验不足的操作者，还有一次来自随机抽取的种植牙研究生。经验丰富的临床医生对每个数据集又进行了六次注册：实施手动或自动细化，选择 3 个小直径或 3 个大直径表面区域，使用多个小直径或多个大直径表面区域。最后，使用集成在所使用的种植规划软件中的人工智能工具，进行人工智能驱动的自动配准。每种配准方式的精确度都是通过计量软件中解剖地标之间的线性测量来衡量的：结果：对于没有修复体的患者，全自动人工智能配准与传统方法的差异不大。在存在多种修复假象的情况下，用户的经验对准确套准非常重要。注册的准确性受缺牙区数量的影响，但不受缺牙绝对数量的影响（p 结论）：在没有成像伪影的情况下，基于人工智能的 CBCT 数据和模型扫描数据的自动配准与传统的叠加方法一样准确。所选叠加区域的数量和大小应根据不同的临床情况单独选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinical Oral Implants Research 医学-工程：生物医学

CiteScore

7.70

自引率

11.60%

发文量

149

审稿时长

3 months

期刊介绍： Clinical Oral Implants Research conveys scientific progress in the field of implant dentistry and its related areas to clinicians, teachers and researchers concerned with the application of this information for the benefit of patients in need of oral implants. The journal addresses itself to clinicians, general practitioners, periodontists, oral and maxillofacial surgeons and prosthodontists, as well as to teachers, academicians and scholars involved in the education of professionals and in the scientific promotion of the field of implant dentistry.