A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning

Abstract

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 mm2 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.

Validation of a new diagnostic method for quantification of sleep bruxism activity

“…The analysis of 18 standardized splints, each with eight grinding surfaces, revealed an intraclass correlation coefficient of 0.998. The authors concluded from their results that the proposed method was innovative, fast, and cost-effective and would support the initial diagnosis of SB [29]. However, the single-colour sheet applied in the cited study has to date never been validated regarding its capability to diagnose SB.…”