Influence of edentulous areas on the accuracy of the maximum intercuspal position recorded by using different intraoral scanners or an artificial intelligence-based program.

IF 4.3 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Marta Revilla-León, Panagiotis Ntovas, Abdul B Barmak, John C Kois, Jorge Alonso Pérez-Barquero
{"title":"Influence of edentulous areas on the accuracy of the maximum intercuspal position recorded by using different intraoral scanners or an artificial intelligence-based program.","authors":"Marta Revilla-León, Panagiotis Ntovas, Abdul B Barmak, John C Kois, Jorge Alonso Pérez-Barquero","doi":"10.1016/j.prosdent.2024.12.010","DOIUrl":null,"url":null,"abstract":"<p><strong>Statement of problem: </strong>Intraoral scans can be articulated in maximum intercuspal position (MIP) by using an artificial intelligence (AI) based program; however, the impact of edentulous areas on the accuracy of the MIP located using this AI-based program is unknown.</p><p><strong>Purpose: </strong>The purpose of this in vitro study was to assess the impact of edentulous areas (0, 1, 2, 3, and 4 posterior mandibular teeth) on the accuracy of the MIP located using 3 intraoral scanners (IOSs) and an AI-based program.</p><p><strong>Material and methods: </strong>Stone casts articulated in MIP in an articulator were digitized (T710). Five groups were created: no edentulous area (Group 0) or edentulous area of 1 (Group 1), 2 (Group 2), 3 (Group 3), or 4 (Group 4) posterior mandibular teeth. A maxillary and mandibular scan were obtained from the reference casts with 3 IOSs: Primescan, Aoralscan3, and i700. The nonarticulated scans were duplicated 20 times. Six subgroups were created based on the program used to locate the MIP: 3 IOS subgroups: PrimeScan, AoralScan3, and i700 and 3 subgroups for the AI-based program (Bitefinder) (Primescan-AI-articulated, Aoralscan3-AI articulated, and i700-AI articulated) (n=10). In the Group 0-Primescan subgroup, the 10 duplicated corresponding scans were articulated by recording a bilateral occlusal record. In the Group 0-Primescan-AI articulated subgroup, the 10 duplicated corresponding scans were automatically articulated in MIP by the AI-based program. In the Group 0-Aoralscan3 and Group 0-i700 subgroups, the same procedures were completed as in the Group 0-Primescan. In the Group 0-Aoralscan3-AI articulated and Group 0-i700-AI articulated subgroups, the same procedures were accomplished as in the Group 0- Primescan-AI articulated. For the data acquisition of Groups 1, 2, 3, and 4, the right mandibular posterior teeth were removed sequentially. The same procedures were completed as in Group 0. A program (Geomagic Wrap) was selected to compute interlandmark measurements on the digitized articulated casts (control) and each articulated specimen. Two-way ANOVA and pairwise multiple comparison Tukey tests were used to analyze trueness (α=.05). The Levene and pairwise multiple comparison Wilcoxon rank tests were used to analyze precision (α=.05).</p><p><strong>Results: </strong>Trueness and precision discrepancies were found between the groups (P<.001) and subgroups (P<.001), with a significant interaction group×subgroup (P<.001). Groups 0, 1, and 2 obtained the best trueness and precision, while Group 4 demonstrated the worst trueness and precision. Primescan and Aoralscan3 obtained better trueness than the i700. The AI-based program obtained lower MIP trueness and precision when compared with the IOSs tested. The AI-based program revealed the best MIP accuracy when articulating scans recorded by using the i700 and the worst with the Aoralscan3.</p><p><strong>Conclusions: </strong>Edentulous areas impacted the trueness and precision of the MIP recorded by using the IOSs or AI-based program tested. Edentulous spaces involving 1 or 2 posterior teeth did not impact the MIP accuracy. An edentulous space of 4 teeth revealed the worst accuracy values captured by using the IOSs assessed or AI-based program. The performance of the AI-based program was influenced by the IOS system used to record the nonarticulated digital scans.</p>","PeriodicalId":16866,"journal":{"name":"Journal of Prosthetic Dentistry","volume":" ","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Prosthetic Dentistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.prosdent.2024.12.010","RegionNum":2,"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

Statement of problem: Intraoral scans can be articulated in maximum intercuspal position (MIP) by using an artificial intelligence (AI) based program; however, the impact of edentulous areas on the accuracy of the MIP located using this AI-based program is unknown.

Purpose: The purpose of this in vitro study was to assess the impact of edentulous areas (0, 1, 2, 3, and 4 posterior mandibular teeth) on the accuracy of the MIP located using 3 intraoral scanners (IOSs) and an AI-based program.

Material and methods: Stone casts articulated in MIP in an articulator were digitized (T710). Five groups were created: no edentulous area (Group 0) or edentulous area of 1 (Group 1), 2 (Group 2), 3 (Group 3), or 4 (Group 4) posterior mandibular teeth. A maxillary and mandibular scan were obtained from the reference casts with 3 IOSs: Primescan, Aoralscan3, and i700. The nonarticulated scans were duplicated 20 times. Six subgroups were created based on the program used to locate the MIP: 3 IOS subgroups: PrimeScan, AoralScan3, and i700 and 3 subgroups for the AI-based program (Bitefinder) (Primescan-AI-articulated, Aoralscan3-AI articulated, and i700-AI articulated) (n=10). In the Group 0-Primescan subgroup, the 10 duplicated corresponding scans were articulated by recording a bilateral occlusal record. In the Group 0-Primescan-AI articulated subgroup, the 10 duplicated corresponding scans were automatically articulated in MIP by the AI-based program. In the Group 0-Aoralscan3 and Group 0-i700 subgroups, the same procedures were completed as in the Group 0-Primescan. In the Group 0-Aoralscan3-AI articulated and Group 0-i700-AI articulated subgroups, the same procedures were accomplished as in the Group 0- Primescan-AI articulated. For the data acquisition of Groups 1, 2, 3, and 4, the right mandibular posterior teeth were removed sequentially. The same procedures were completed as in Group 0. A program (Geomagic Wrap) was selected to compute interlandmark measurements on the digitized articulated casts (control) and each articulated specimen. Two-way ANOVA and pairwise multiple comparison Tukey tests were used to analyze trueness (α=.05). The Levene and pairwise multiple comparison Wilcoxon rank tests were used to analyze precision (α=.05).

Results: Trueness and precision discrepancies were found between the groups (P<.001) and subgroups (P<.001), with a significant interaction group×subgroup (P<.001). Groups 0, 1, and 2 obtained the best trueness and precision, while Group 4 demonstrated the worst trueness and precision. Primescan and Aoralscan3 obtained better trueness than the i700. The AI-based program obtained lower MIP trueness and precision when compared with the IOSs tested. The AI-based program revealed the best MIP accuracy when articulating scans recorded by using the i700 and the worst with the Aoralscan3.

Conclusions: Edentulous areas impacted the trueness and precision of the MIP recorded by using the IOSs or AI-based program tested. Edentulous spaces involving 1 or 2 posterior teeth did not impact the MIP accuracy. An edentulous space of 4 teeth revealed the worst accuracy values captured by using the IOSs assessed or AI-based program. The performance of the AI-based program was influenced by the IOS system used to record the nonarticulated digital scans.

无牙区对不同口内扫描仪或人工智能程序记录的最大尖间位置准确性的影响。
问题说明:通过使用基于人工智能(AI)的程序,可以在最大口尖间位置(MIP)铰接口腔内扫描;然而,无牙区域对使用这种基于人工智能的程序定位的MIP精度的影响是未知的。目的:本体外研究的目的是评估无牙区(下颌后牙0、1、2、3和4颗)对使用3台口内扫描仪(ios)和基于人工智能的程序定位MIP准确性的影响。材料和方法:在MIP中铰接的石铸件在铰接器中进行数字化(T710)。制作无牙区(0组)和无牙区1(1组)、2(2组)、3(3组)、4(4组)后颌牙5组。使用Primescan、Aoralscan3和i700三种iss对参考铸型进行上颌和下颌扫描。非关节扫描重复了20次。根据用于定位MIP的程序创建了6个亚组:3个IOS亚组:PrimeScan、AoralScan3和i700; 3个基于ai的程序(Bitefinder)亚组(PrimeScan - ai -铰接、AoralScan3 - ai铰接和i700- ai铰接)(n=10)。在0-Primescan亚组中,通过记录双侧咬合记录来连接10个重复的相应扫描。在0-Primescan-AI关节亚组中,10个重复的相应扫描通过基于ai的程序在MIP中自动关节。在0-Aoralscan3组和0-i700组亚组中,完成的程序与0-Primescan组相同。在0- aoralscan3 - ai关节亚组和0-i700- ai关节亚组中,完成的程序与0- Primescan-AI关节亚组相同。1、2、3、4组依次拔除右侧下颌后牙进行数据采集。手术步骤与第0组相同。选择一个程序(Geomagic Wrap)来计算数字化铰接铸件(对照)和每个铰接标本的地标间测量。采用双因素方差分析(Two-way ANOVA)和两两多重比较Tukey检验进行分析(α= 0.05)。采用Levene检验和两两多重比较Wilcoxon秩检验进行精密度分析(α= 0.05)。结论:无牙区会影响使用ios或基于人工智能的程序所记录的MIP的准确性和准确性。1或2颗后牙无牙间隙对MIP精度无影响。4颗牙齿的无牙间隙显示了使用评估的iss或基于人工智能的程序捕获的最差精度值。基于人工智能的程序的性能受到用于记录非关节数字扫描的IOS系统的影响。
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
Journal of Prosthetic Dentistry
Journal of Prosthetic Dentistry 医学-牙科与口腔外科
CiteScore
7.00
自引率
13.00%
发文量
599
审稿时长
69 days
期刊介绍: The Journal of Prosthetic Dentistry is the leading professional journal devoted exclusively to prosthetic and restorative dentistry. The Journal is the official publication for 24 leading U.S. international prosthodontic organizations. The monthly publication features timely, original peer-reviewed articles on the newest techniques, dental materials, and research findings. The Journal serves prosthodontists and dentists in advanced practice, and features color photos that illustrate many step-by-step procedures. The Journal of Prosthetic Dentistry is included in Index Medicus and CINAHL.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信