Effect of varying levels of expertise on the reliability and reproducibility of the digital waxing of single crowns: A preliminary in vitro study.

STATEMENT OF PROBLEM The digital waxing of single crowns can be affected by the quality of intraoral scans and use of computer-aided design (CAD) software programs. However, clinical outcomes of the resulting crowns are also affected by computer-aided manufacturing (CAM) methodologies. Studies on the effect of different levels of expertise on digital waxing are lacking. PURPOSE The purpose of this in vitro study was to assess the impact of different levels of expertise on the reliability and reproducibility of margin outlining during digital waxing. MATERIAL AND METHODS Thirty analogs of implant stock abutments (Ø4.8×4 mm) were embedded into resin blocks. To simulate different clinical situations, abutments were divided into 3 groups: 10 abutments (group GOS) received artificial gingiva and were scanned with an open system intraoral scanner, while 10 abutments with (group GIS) and 10 abutments without artificial gingiva (group IS) were scanned with an intraoral scanner within an integrated CAD-CAM system. All resulting standard tessellation language (STL) files were used by 2 different observers (an experienced CAD professional and a clinician with basic CAD knowledge) to digitally design a left mandibular central incisor in the same software program. All resulting digital crown designs were exported to STL files to assess crown margin accuracy at the coupling interface by superimposition with the control STL file of the scan body designed for the same abutment by the manufacturer. For this purpose, a CAD software program was used to automatically calculate median, minimum, and maximum deviations of margins in millimeters. Statistically significant pairwise differences among groups and between observers were assessed with the Wilcoxon signed-rank test (α=.05). RESULTS For the CAD professional, median deviations between designed crown STL files and the control STL of the scan body were 0.08 mm (range: 0.04 to 0.15) for group GOS; 0.10 mm (range: 0.06 to 0.18) for group GIS; and 0.05 mm (range: 0.03 to 0.08) for group IS. For the clinician, median deviations were 0.08 mm (range: 0.04 to 0.12) for group GOS; 0.11 mm (range: 0.07 to 0.17) for group GIS; and 0.05 mm (range: 0.04 to 0.11) for group IS. There were no significant differences between observers (P>.05). However, statistically significant differences were found between group IS and the other 2 groups (P=.001) but not between groups GOS and GIS (P>.05). CONCLUSIONS The present findings suggest that a digital wax pattern made with a dental CAD software program is not affected by varying levels of expertise but might be affected by subgingival margins.

[1]  Jong-Eun Kim,et al.  Accuracy of Scanned Stock Abutments Using Different Intraoral Scanners: An In Vitro study. , 2019, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[2]  P. Capparé,et al.  Milled versus moulded mock-ups based on the superimposition of 3D meshes from digital oral impressions: a comparative in vitro study in the aesthetic area , 2019, BMC oral health.

[3]  L. Cooper,et al.  Marginal Fit Evaluation of Cad/Cam All Ceramic Crowns Obtained by Two Digital Workflows: An In-Vitro Study Using Micro-Ct Technology. , 2019, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[4]  F. García-Godoy,et al.  The ability of marginal detection using different intraoral scanning systems: A pilot randomized controlled trial. , 2018, American journal of dentistry.

[5]  Yeganeh Memari,et al.  Marginal Adaptation of CAD/CAM All‐Ceramic Crowns Made by Different Impression Methods: A Literature Review , 2019, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[6]  Vincent Fehmer,et al.  Randomized controlled within‐subject evaluation of digital and conventional workflows for the fabrication of lithium disilicate single crowns. Part II: CAD‐CAM versus conventional laboratory procedures , 2017, The Journal of prosthetic dentistry.

[7]  S. B. Chaves,et al.  Marginal and internal fit of CAD‐CAM‐fabricated composite resin and ceramic crowns scanned by 2 intraoral cameras , 2017, The Journal of prosthetic dentistry.

[8]  U. Braegger,et al.  A digital approach for one-step formation of the supra-implant emergence profile with an individualized CAD/CAM healing abutment. , 2016, Journal of prosthodontic research.

[9]  A. Cortes,et al.  Influence of Gingival Contour on Marginal Fit of CAD-CAM Zirconia Copings on Implant Stock Abutments. , 2020, The European journal of prosthodontics and restorative dentistry.

[10]  A. Mehl,et al.  Accuracy of complete- and partial-arch impressions of actual intraoral scanning systems in vitro. , 2019, International journal of computerized dentistry.

[11]  Roberto Scotti,et al.  A fully digital approach to replicate peri-implant soft tissue contours and emergence profile in the esthetic zone. , 2016, Clinical oral implants research.

[12]  P. Bollero,et al.  Digital work-flow. , 2014, ORAL & implantology.

[13]  Tamer A. Hamza,et al.  In vitro evaluation of marginal discrepancy of monolithic zirconia restorations fabricated with different CAD‐CAM systems , 2017, The Journal of prosthetic dentistry.

[14]  Heike Rudolph,et al.  Three-dimensional fit of CAD/CAM-made zirconia copings. , 2011, Dental materials : official publication of the Academy of Dental Materials.

[15]  W. Arnold,et al.  Wear Behavior of Ceramic CAD/CAM Crowns and Natural Antagonists , 2017, Materials.

[16]  B. Chrcanovic,et al.  Intraoral Digital Impression Technique Compared to Conventional Impression Technique. A Randomized Clinical Trial. , 2016, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[17]  Vincent Fehmer,et al.  Randomized controlled clinical trial of digital and conventional workflows for the fabrication of zirconia‐ceramic posterior fixed partial dentures. Part II: Time efficiency of CAD‐CAM versus conventional laboratory procedures , 2019, The Journal of prosthetic dentistry.

[18]  M. Iijima,et al.  Accuracy of digital models generated by conventional impression/plaster-model methods and intraoral scanning. , 2018, Dental materials journal.

[19]  I. Nyström,et al.  Finish line distinctness and accuracy in 7 intraoral scanners versus conventional impression: an in vitro descriptive comparison , 2018, BMC Oral Health.

[20]  German O Gallucci,et al.  The virtual patient in dental medicine. , 2015, Clinical oral implants research.

[21]  Arthur Rodriguez Gonzalez Cortes,et al.  Fully Digital Workflow with Magnetically Connected Guides for Full-Arch Implant Rehabilitation Following Guided Alveolar Ridge Reduction. , 2020, Journal of prosthodontics : official journal of the American College of Prosthodontists.