Accuracy of 3D white light scanning of abutment teeth impressions: evaluation of trueness and precision.
- Author:
Jin Hun JEON
1
;
Hae Young KIM
;
Ji Hwan KIM
;
Woong Chul KIM
Author Information
- Publication Type:Original Article
- Keywords: White light scanner; Accuracy; Precision and trueness; Impression scanning; 3D shape data; Point cloud
- MeSH: Bicuspid; Crowns; Molar; Tooth*
- From:The Journal of Advanced Prosthodontics 2014;6(6):468-473
- CountryRepublic of Korea
- Language:English
- Abstract: PURPOSE: This study aimed to evaluate the accuracy of digitizing dental impressions of abutment teeth using a white light scanner and to compare the findings among teeth types. MATERIALS AND METHODS: To assess precision, impressions of the canine, premolar, and molar prepared to receive all-ceramic crowns were repeatedly scanned to obtain five sets of 3-D data (STL files). Point clouds were compared and error sizes were measured (n=10 per type). Next, to evaluate trueness, impressions of teeth were rotated by 10degrees-20degrees and scanned. The obtained data were compared with the first set of data for precision assessment, and the error sizes were measured (n=5 per type). The Kruskal-Wallis test was performed to evaluate precision and trueness among three teeth types, and post-hoc comparisons were performed using the Mann-Whitney U test with Bonferroni correction (alpha=.05). RESULTS: Precision discrepancies for the canine, premolar, and molar were 3.7 microm, 3.2 microm, and 7.3 microm, respectively, indicating the poorest precision for the molar (P<.001). Trueness discrepancies for teeth types were 6.2 microm, 11.2 microm, and 21.8 microm, respectively, indicating the poorest trueness for the molar (P=.007). CONCLUSION: In respect to accuracy the molar showed the largest discrepancies compared with the canine and premolar. Digitizing of dental impressions of abutment teeth using a white light scanner was assessed to be a highly accurate method and provided discrepancy values in a clinically acceptable range. Further study is needed to improve digitizing performance of white light scanning in axial wall.
