The Sensitivity of Digital Intraoral Scanners at Measuring Early Erosive Wear

Sandeep Kumar, Andrew Keeling, David Bartlett, Cecile Osnes, Saoirse O'Toole

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44 Citations (Scopus)
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Abstract

Objectives: To investigate the sensitivity of intraoral scanners to quantitatively detect early erosive tooth wear. Methods: Natural buccal enamel samples were mounted in acrylic and scanned at baseline with an intraoral scanner (3M True Definition Scanner, 3M, USA). Samples were then exposed to 0.3% citric acid pH 3.2 at intervals of 10 minutes up to a total of 120 minutes and scanned after each exposure resulting in analysis of 13 datapoints per sample. Each scan was aligned with the baseline and data points super-imposed using an iterative closest point (ICP) algorithm on the acrylic surfaces (Geomagic Control Software, 3Dsystems, Darmstadt, Germany). Wear was measured using maximum profile loss, average profile loss and volume change. Data were normally distributed and Pearson correlations between erosion time and wear measurements assessed. Results: After each 10-minute exposure until 120 minutes, maximum profile loss (m) increased from 33.4 to 72.8 m, average profile loss from 9.1 to 18.6 m. Wear correlated with increasing acid exposure for both maximum profile loss wear (r=0.877 p<0.001) and average profile loss (r=0.663 p=0.019) respectively. Volume measurements were inconsistent at this level of wear. Conclusions: Using scan data obtained from the intra oral scanners (IOS), increasing step height changes were observed with increasing exposures to acid. This study indicates there is potential of scans taken with an IOS to be used to detect early erosive tooth wear. However, precision was low suggesting limitations for minimal changes. Clinical Significance: Although sub-visual wear was detected by intra-oral scanners on natural enamel surfaces, the accuracy was not sufficient to reliably diagnose that wear had occurred and interpretation of measurements should be done with caution. However, these results may be promising for detecting wear at more advanced stages.
Original languageEnglish
JournalJournal of Dentistry
Early online date16 Dec 2018
DOIs
Publication statusE-pub ahead of print - 16 Dec 2018

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