| Literature DB >> 35621533 |
Yahya Deeban1,2, Keyvan Moharamzadeh1,3, Moosa Abuzayeda3, Nicolas Martin1.
Abstract
BACKGROUND: This study aimed to develop a tooth wear classification system that combined the extent, severity, and aesthetic impact of tooth wear and correlated them with the most appropriate clinical management strategy.Entities:
Keywords: aesthetics; tooth surface loss; tooth wear functional impact; tooth wear index
Year: 2022 PMID: 35621533 PMCID: PMC9139567 DOI: 10.3390/dj10050080
Source DB: PubMed Journal: Dent J (Basel) ISSN: 2304-6767
TSL indices and classification systems.
| Year | Author | Aim of the Index |
|---|---|---|
| Erosion classification systems | ||
| 1978 | Eccles | Early classification of erosion TSL of industrial origin [ |
| 1979 | Eccles | Modified erosional TSL index of nonindustrial origin [ |
| 1983 | Xhonga and Valdmanis | Considering extent of erosion in addition to severity [ |
| Indices based on Tooth Wear Index (TWI) | ||
| 1984 | Smith and Knight | Evaluate TSL severity regardless of the etiology [ |
| 1994 | Millward et al. | Adopt TWI criteria to measure erosion TSL in children [ |
| 2004 | Bardsley et al. | Simplified version of TWI to evaluate erosion TSL in children [ |
| TSL indices concentrating on treatment needs | ||
| 1987 | Oil et al. | Tried to provide reliable method to determine the treatment needs for each case [ |
| 1989 | Dahl et al. | Modification of Oilo et al.’s criteria [ |
| 2000 | Larsen et al. | First use of photograph as supplementary tool, with clinical examination [ |
| 2008 | Bartlett et al. | (BEWE) index to provide easy and reproducible diagnostic criteria [ |
| 2014 | Sawai | Simplified indices for cervical lesions [ |
| 2016 | Wetselaar and Lobbezoo | Aimed to provide comprehensive tooth wear evaluation system (TWES) [ |
| Use of casts and Three-dimensional methods to classify TSL | ||
| 2010 | Al-Omiri et al. | Use three-dimensional tools to classify TSL [ |
| 2015 | Lee et al. | Compared the change in tooth volume in a longitudinal comparison of the change in line angles on the occlusal surface of each tooth [ |
| 2018 | Soo-Hyun Kim et al. | New tooth wear index (NTWI) describing methods for quantitative measurement of tooth wear using the area and volume of virtual model cusps [ |
Figure 1First classification tool in the pilot study.
Figure 2Classification tools for the main study.
Interexaminer correlation coefficient from the main study.
| 95% Confidence Interval | |||
|---|---|---|---|
| Intraclass Correlation | Lower Bound | Upper Bound | |
| Maxillary anterior arch | 0.805 | 0.70 | 0.91 |
| Maxillary posterior arch | 0.81 | 0.71 | 0.91 |
| Mandibular anterior arch | 0.845 | 0.76 | 0.93 |
| Mandibular posterior arch | 0.76 | 0.64 | 0.88 |
| Aesthetic impact | 0.825 | 0.73 | 0.92 |
Range of agreement between examiners in each case (upper arch).
|
| Number of Examiners Scored Grades 0–3 for Each Sample | ||||||||
| Maxillary anterior | Maxillary posterior | ||||||||
| 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 | ||
| 1 | 3 | 7 | 1 | 9 | |||||
| 2 | 10 | 3 | 7 | ||||||
| 3 | 1 | 9 | 8 | 2 | |||||
| 4 | 2 | 8 | 1 | 9 | |||||
| 5 | 2 | 1 | 7 | 8 | 2 | ||||
| 6 | 2 | 8 | 7 | 3 | |||||
| 7 | 3 | 7 | 1 | 9 | |||||
| 8 | 1 | 2 | 7 | 3 | 6 | 1 | |||
| 9 | 10 | 2 | 7 | 1 | |||||
| 10 | 5 | 5 | 1 | 9 | |||||
| 11 | 1 | 9 | 3 | 7 | |||||
| 12 | 7 | 3 | 7 | 3 | |||||
| 13 | 2 | 8 | 9 | 1 | |||||
| 14 | 2 | 6 | 2 | 8 | 2 | ||||
| 15 | 2 | 6 | 2 | 5 | 5 | ||||
| 16 | 5 | 5 | 1 | 9 | |||||
| 17 | 10 | 7 | 3 | ||||||
| 18 | 10 | 4 | 6 | ||||||
| 19 | 8 | 2 | 7 | 3 | |||||
| 20 | 3 | 7 | 1 | 9 | |||||
Range of agreement between examiners in each case (lower arch).
|
| Number of Examiners Scored Grades 0–3 for Each Sample | ||||||||
| Mandibular anterior | Mandibular posterior | ||||||||
| 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 | ||
| 1 | 1 | 9 | 8 | 2 | |||||
| 2 | 1 | 9 | 8 | 2 | |||||
| 3 | 1 | 6 | 3 | 8 | 2 | ||||
| 4 | 9 | 1 | 2 | 8 | |||||
| 5 | 8 | 2 | 7 | 3 | |||||
| 6 | 10 | 1 | 9 | ||||||
| 7 | 1 | 7 | 2 | 2 | 8 | ||||
| 8 | 10 | 3 | 7 | ||||||
| 9 | 1 | 5 | 4 | 2 | 1 | 7 | |||
| 10 | 3 | 7 | 8 | 2 | |||||
| 11 | 1 | 3 | 6 | 4 | 6 | ||||
| 12 | 9 | 1 | 7 | 3 | |||||
| 13 | 6 | 4 | 5 | 5 | |||||
| 14 | 10 | 10 | |||||||
| 15 | 8 | 2 | 3 | 7 | |||||
| 16 | 4 | 6 | 8 | 2 | |||||
| 17 | 1 | 8 | 1 | 3 | 6 | 1 | |||
| 18 | 4 | 6 | 1 | 9 | |||||
| 19 | 9 | 1 | 2 | 8 | |||||
| 20 | 1 | 9 | 1 | 9 | |||||
Range of agreement between examiners in each case (aesthetic impact).
|
| Number of Examiners Scored Grades 0–3 for Each Sample | ||||
| 0 | 1 | 2 | 3 | ||
| 1 | 8 | 2 | |||
| 2 | 10 | ||||
| 3 | 1 | 9 | |||
| 4 | 8 | 2 | |||
| 5 | 1 | 9 | |||
| 6 | 6 | 4 | |||
| 7 | 1 | 1 | 8 | ||
| 8 | 1 | 9 | |||
| 9 | 1 | 9 | |||
| 10 | 1 | 8 | 1 | ||
| 11 | 5 | 5 | |||
| 12 | 8 | 2 | |||
| 13 | 9 | 1 | |||
| 14 | 3 | 7 | |||
| 15 | 1 | 9 | |||
| 16 | 8 | 2 | |||
| 17 | 10 | ||||
| 18 | 3 | 7 | |||
| 19 | 1 | 9 | |||
| 20 | 1 | 1 | 8 | ||
Figure 3Photographic version of the classification tools with suggested treatment for Stages 0 and 1.
Figure 4Photographic version of the classification tools with suggested treatment for Stage 2.
Figure 5Photographic version of the classification tools with suggested treatment for Stage 3.