A proposed methodology to assess the accuracy of 3D scanners and casts and monitor tooth wear progression in patients
Ahmed, Khaled E. and Witters, John and Ju, Xiangyang and Pierce, S. Gareth and Macleod, Charles N. and Murray, Colin A. (2016) A proposed methodology to assess the accuracy of 3D scanners and casts and monitor tooth wear progression in patients. International Journal of Prosthodontics, 29 (5). pp. 514-521. ISSN 1942-4426 (https://doi.org/10.11607/ijp.4685)
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Purpose: The aim of this study was to detail and assess the capability of a novel methodology to 3D-quantify tooth wear progression in a patient over a period of 12 months. Materials and Methods: A calibrated stainless steel model was used to identify the accuracy of the scanning system by assessing the accuracy and precision of the contact scanner and the dimensional accuracy and stability of casts fabricated from three different types of impression materials. Thereafter, the overall accuracy of the 3D scanning system (scanner and casts) was ascertained. Clinically, polyether impressions were made of the patient’s dentition at the initial examination and at the 12-month review, then poured in type IV dental stone to assess the tooth wear. The anterior teeth on the resultant casts were scanned, and images were analyzed using 3D matching software to detect dimensional variations between the patient’s impressions. Results: The accuracy of the 3D scanning system was established to be 33 μm. 3D clinical analysis demonstrated localized wear on the incisal and palatal surfaces of the patient’s maxillary central incisors. The identified wear extended to a depth of 500 μm with a distribution of 4% to 7% of affected tooth surfaces. Conclusion: The newly developed 3D scanning methodology was found to be capable of assessing and accounting for the various factors affecting tooth wear scanning. Initial clinical evaluation of the methodology demonstrates successful monitoring of tooth wear progression. However, further clinical assessment is needed.
ORCID iDs
Ahmed, Khaled E., Witters, John, Ju, Xiangyang, Pierce, S. Gareth ORCID: https://orcid.org/0000-0003-0312-8766, Macleod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769 and Murray, Colin A.;-
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Item type: Article ID code: 57387 Dates: DateEvent30 September 2016Published3 May 2016AcceptedSubjects: Medicine > Dentistry Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 Aug 2016 10:20 Last modified: 25 Nov 2024 13:04 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/57387