A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning
Sleep bruxism is an oral parafunction that involves involuntary tooth grinding and clenching. Splints with a colored layer that gets removed during tooth grinding are a common tool for the initial diagnosis of sleep bruxism. Currently, such splints are either assessed qualitatively or using 2D photo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/11/8/1483 |
| _version_ | 1797524177303896064 |
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| author | Benedikt Sagl Ferida Besirevic-Bulic Martina Schmid-Schwap Brenda Laky Klara Janjić Eva Piehslinger Xiaohui Rausch-Fan |
| author_facet | Benedikt Sagl Ferida Besirevic-Bulic Martina Schmid-Schwap Brenda Laky Klara Janjić Eva Piehslinger Xiaohui Rausch-Fan |
| author_sort | Benedikt Sagl |
| collection | DOAJ |
| description | Sleep bruxism is an oral parafunction that involves involuntary tooth grinding and clenching. Splints with a colored layer that gets removed during tooth grinding are a common tool for the initial diagnosis of sleep bruxism. Currently, such splints are either assessed qualitatively or using 2D photographs, leading to a non-neglectable error due to the 3D nature of the dentition. In this study we propose a new and fast method for the quantitative assessment of tooth grinding surfaces using 3D scanning and mesh processing. We assessed our diagnostic method by producing 18 standardized splints with 8 grinding surfaces each, giving us a total of 144 surfaces. Moreover, each splint was scanned and analyzed five times. The accuracy and repeatability of our method was assessed by computing the intraclass correlation coefficient (ICC) as well reporting means and standard deviations of surface measurements for intra- and intersplint measurements. An ICC of 0.998 was computed as well as a maximum standard deviation of 0.63 mm<sup>2</sup> for repeated measures, suggesting an appropriate accuracy of our proposed method. Overall, this study proposes an innovative, fast and cost effective method to support the initial diagnosis of sleep bruxism. |
| first_indexed | 2024-03-10T08:52:44Z |
| format | Article |
| id | doaj.art-804f0e4a8c664a57b188d062909ca6f1 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T08:52:44Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-804f0e4a8c664a57b188d062909ca6f12023-11-22T07:21:09ZengMDPI AGDiagnostics2075-44182021-08-01118148310.3390/diagnostics11081483A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D ScanningBenedikt Sagl0Ferida Besirevic-Bulic1Martina Schmid-Schwap2Brenda Laky3Klara Janjić4Eva Piehslinger5Xiaohui Rausch-Fan6Center of Clinical Research, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaDivision of Prosthodontics, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaDivision of Prosthodontics, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaCenter of Clinical Research, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaCenter of Clinical Research, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaDivision of Prosthodontics, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaCenter of Clinical Research, University Clinic of Dentistry, Medical University of Vienna, 1090 Vienna, AustriaSleep bruxism is an oral parafunction that involves involuntary tooth grinding and clenching. Splints with a colored layer that gets removed during tooth grinding are a common tool for the initial diagnosis of sleep bruxism. Currently, such splints are either assessed qualitatively or using 2D photographs, leading to a non-neglectable error due to the 3D nature of the dentition. In this study we propose a new and fast method for the quantitative assessment of tooth grinding surfaces using 3D scanning and mesh processing. We assessed our diagnostic method by producing 18 standardized splints with 8 grinding surfaces each, giving us a total of 144 surfaces. Moreover, each splint was scanned and analyzed five times. The accuracy and repeatability of our method was assessed by computing the intraclass correlation coefficient (ICC) as well reporting means and standard deviations of surface measurements for intra- and intersplint measurements. An ICC of 0.998 was computed as well as a maximum standard deviation of 0.63 mm<sup>2</sup> for repeated measures, suggesting an appropriate accuracy of our proposed method. Overall, this study proposes an innovative, fast and cost effective method to support the initial diagnosis of sleep bruxism.https://www.mdpi.com/2075-4418/11/8/1483sleep bruxismdigital dentistrydiagnostic bruxism splint |
| spellingShingle | Benedikt Sagl Ferida Besirevic-Bulic Martina Schmid-Schwap Brenda Laky Klara Janjić Eva Piehslinger Xiaohui Rausch-Fan A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning Diagnostics sleep bruxism digital dentistry diagnostic bruxism splint |
| title | A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning |
| title_full | A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning |
| title_fullStr | A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning |
| title_full_unstemmed | A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning |
| title_short | A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning |
| title_sort | novel quantitative method for tooth grinding surface assessment using 3d scanning |
| topic | sleep bruxism digital dentistry diagnostic bruxism splint |
| url | https://www.mdpi.com/2075-4418/11/8/1483 |
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