Investigation into the validity of WearCompare, a purpose-built software to quantify erosive tooth wear progression.

Dental technology Diagnostic imaging Tooth erosion Tooth wear

Journal

Dental materials : official publication of the Academy of Dental Materials
ISSN: 1879-0097
Titre abrégé: Dent Mater
Pays: England
ID NLM: 8508040

Informations de publication

Date de publication:
10 2019
Historique:
received: 26 03 2019
revised: 20 06 2019
accepted: 15 07 2019
pubmed: 14 8 2019
medline: 18 12 2019
entrez: 13 8 2019
Statut: ppublish

Résumé

The use of surface matching software with intraoral scanners is developing rapidly which increases the need for accessible, accurate and validated measurement software. This investigation compared the current gold-standard Geomagic Control software to a purpose-built software "WearCompare". Artificially created occlusal defects of a known size were created on 10 natural molar teeth scanned with a structured-light model-scanner (Rexcan DS2, Europac 3D, Crewe). The volume change, maximum profilometric loss and mean profilometric loss were obtained from both Geomagic Control (3D Systems, Darmstadt, Germany) and WearCompare (leedsdigitaldentistry.com). Duplicated datasets were randomly repositioned and re-alignment performed. The effect of the re-alignment was calculated by analysing differences between the known defect size and defect size after re-alignment using the same measurement metrics. Lastly, clinical wear measurements were compared on natural molar surfaces (n=60) over 6 months using study models collected from a previous longitudinal trial. Data analysis was performed in SPSS v25 (paired t-tests, Pearson correlations, p<0.05). Measurement correlation between the softwares was greater than 0.97 (p<0.001) for all measurement metrics. The volume change error (SD) after alignment was -0.67mm WearCompare is a comparable tool to Geomagic for quantifying erosive tooth wear. WearCompare reported statistically less profile gain indicating less error but further research is needed to reduce the human errors in both softwares.

Identifiants

pubmed: 31402133
pii: S0109-5641(19)30699-2
doi: 10.1016/j.dental.2019.07.023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1408-1414

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Auteurs

Saoirse O'Toole (S)

Centre for Clinical, Oral and Translational Sciences, King's College London Faculty for Dental, Oral and Craniofacial Sciences, Guy's Hospital, London, SE1 9RT, UK. Electronic address: saoirse.otoole@kcl.ac.uk.

Cecilie Osnes (C)

Department of Restorative Dentistry, School of Dentistry, University of Leeds, Leeds, LS2 9LU, UK; Department of Medical Biotechnologies, University of Siena, Siena, Italy.

David Bartlett (D)

Centre for Clinical, Oral and Translational Sciences, King's College London Faculty for Dental, Oral and Craniofacial Sciences, Guy's Hospital, London, SE1 9RT, UK.

Andrew Keeling (A)

Department of Restorative Dentistry, School of Dentistry, University of Leeds, Leeds, LS2 9LU, UK.

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