An accurate and efficient method for occlusal tooth wear assessment using 3D digital dental models

被引:0
|
作者
Nikolaos Gkantidis
Konstantinos Dritsas
Yijin Ren
Demetrios Halazonetis
Christos Katsaros
机构
[1] University of Bern,Department of Orthodontics and Dentofacial Orthopedics
[2] W.J. Kolff Institute,Department of Orthodontics
[3] University Medical Center Groningen,Department of Orthodontics
[4] University of Groningen,undefined
[5] School of Dentistry,undefined
[6] National and Kapodistrian University of Athens,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Tooth or material wear in a dentition is a common finding that requires timely diagnosis for management and prevention of further loss or associated esthetic or functional impairment. Various qualitative and quantitative methods have been suggested to measure tooth or material wear, but they present with limitations, such as imprecision, subjectivity, or high complexity. Here we developed and assessed an efficient 3D superimposition method to accurately measure occlusal tooth wear on 3D digital dental models. For this purpose, teeth on plaster casts were manually grinded on their occlusal surfaces to simulate various degrees of tooth wear. The casts were scanned using a surface scanner. Grinded tooth crowns (T1) were segmented and compared to the original crowns (T0) using five 3D surface superimposition techniques and a gold standard technique (GS). GS measurements were obtained by using intact adjacent structures as superimposition references. The technique of choice (complete crown with 30% estimated overlap of meshes) showed the best reproducibility (maximum difference < 0.050 mm3) and excellent agreement with the GS technique (median difference: 0.032 mm3). The suggested 3D superimposition method offers a highly efficient and accurate tool for tooth wear assessment, which could be applicable to clinical conditions.
引用
收藏
相关论文
共 50 条
  • [21] Generation of 3D digital models of the dental arches using optical scanning techniques
    Claus, D.
    Radeke, J.
    Zint, M.
    Vogel, A. B.
    Satravaha, Y.
    Kilic, F.
    Hibst, R.
    Lapatki, B. G.
    SEMINARS IN ORTHODONTICS, 2018, 24 (04) : 416 - 429
  • [22] Dental wear estimation using a digital intra-oral optical scanner and an automated 3D computer vision method
    Meireles, Agnes Batista
    Vieira, Antonio Wilson
    Corpas, Livia
    Vandenberghe, Bart
    Bastos, Flavia Souza
    Lambrechts, Paul
    Campos, Mario Montenegro
    de Las Casas, Estevam Barbosa
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2016, 19 (05) : 507 - 514
  • [23] Comparison of Tooth Size Measurements in Orthodontics Using Conventional and 3D Digital Study Models
    Petrovic, Valentina
    Slaj, Martina
    Buljan, Mia
    Civljak, Tadej
    Zulijani, Ana
    Peric, Berislav
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (03)
  • [24] Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models
    Tan, Yuwen
    Xiang, Xiang
    Chen, Yifeng
    Jing, Hongyi
    Ye, Shiyang
    Xue, Chaoran
    Xu, Hui
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VI, 2023, 14225 : 411 - 420
  • [25] Reliability of an Occlusal and Nonocclusal Tooth Wear Grading System: Clinical Use Versus Dental Cast Assessment
    Wetselaar, Peter
    Lobbezoo, Frank
    Koutris, Michail
    Visscher, Corine M.
    Naeije, Machiel
    INTERNATIONAL JOURNAL OF PROSTHODONTICS, 2009, 22 (04) : 388 - 390
  • [26] A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning
    Sagl, Benedikt
    Besirevic-Bulic, Ferida
    Schmid-Schwap, Martina
    Laky, Brenda
    Janjic, Klara
    Piehslinger, Eva
    Rausch-Fan, Xiaohui
    DIAGNOSTICS, 2021, 11 (08)
  • [27] Is a Basic Erosive Wear Examination (BEWE) reliable for recording erosive tooth wear on 3D models?
    Alaraudanjoki, Viivi
    Saarela, Henna
    Pesonen, Reetta
    Laitala, Marja-Liisa
    Kiviahde, Heikki
    Tjaderhane, Leo
    Lussi, Adrian
    Pesonen, Paula
    Anttonen, Vuokko
    JOURNAL OF DENTISTRY, 2017, 59 : 26 - 32
  • [28] Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models
    Chen, Qingguang
    Huang, Junchao
    Salehi, Hassan S.
    Zhu, Haihua
    Lian, Luya
    Lai, Xiaomin
    Wei, Kaihua
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 208
  • [29] Wear resistance of 3D printed occlusal device materials
    Lawson, Nathaniel C.
    Brown, Pierpont
    Hamdan, Suleiman
    Alford, Aaron
    Nejat, Amir H.
    JOURNAL OF PROSTHETIC DENTISTRY, 2025, 133 (02): : 576e1 - 576e6
  • [30] Efficient discovery service for a digital library of 3D models
    Anan, H
    Maly, K
    Zubair, M
    FIFTH INTERNATIONAL CONFERENCE ON 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 2005, : 492 - 498