Comparative clinical study of the marginal discrepancy of fixed dental prosthesis fabricated by the milling-sintering method using a presintered alloy

Kim, Mijoo; Kim, Jae-Won; Mai, Hang‐Nga; Kwon, Tae‐Yub; Choi, Yong-Do; Lee, Cheong-Hee; Lee, Du‐Hyeong

doi:10.4047/jap.2019.11.5.280

Cited by 13 publications

(9 citation statements)

References 24 publications

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“…7 The introduction of computer-aided design and computer-aided manufacturing (CAD/CAM) to dental prosthodontics has led to conventional fabrication methods being gradually replaced with CAD/CAM approaches. 2,8 Digital impressions have overcome many of the drawbacks of the analog impression-making process by eliminating the use of impression material and gypsum casts. [9][10][11] Digital impression images can be created using indirect or direct digitization.…”

Section: Introductionmentioning

confidence: 99%

The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software

2020

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PURPOSE.The aim of this study was to examine the importance of the defect-free scanning of a scan body by assessing the accuracy of virtual implant positioning in computer-aided design (CAD) software when the scan body image is improperly scanned. MATERIALS AND METHODS. A scan body was digitized in a dentiform model using an intraoral scanner, and scanned images with differing levels of image deficiency were generated: 5%, 10%, and 15% deficiency in the flat or rounded area. Using a best-fit image matching algorithm on each of the deficient scan body images, corresponding virtual implants were created. The accuracy of the implant position was evaluated by comparing the linear and angular discrepancies between the actual and virtual positions of the implant. Kruskal-Wallis tests and Mann-Whitney U tests with Bonferroni correction were used to determine the statistical differences among the seven scanned image deficiency groups (α=.05). RESULTS. In general, the linear and angular discrepancies of the implant position in the software increased as the deficiency of the scan body images increased. A 15% scan body image deficiency generated larger discrepancies than deficiency of 5% and 10%. The difference of scan defect position, flat or rounded area, did not affect the accuracy of virtual implant orientation at 5% and 10% deficiency level, but did affect the accuracy at 15% deficiency level. CONCLUSION. Deficiencies in the scanned images of a scan body can decrease the accuracy of the implant positioning in CAD software when the defect is large, thus leading to the incorrect fabrication of implant prostheses. [ J Adv

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Section: Introductionmentioning

confidence: 99%

The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software

2020

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“…2 With the advent of digital technology, the 3-dimensional (3D) digital measurement of marginal gaps has become possible with different imaging systems. 3,7,[9][10][11] The triple-scan technique, which is based on optical or tactile scans, has been used to evaluate the marginal gaps of single-and multiple-unit restorations, 7,[9][10][11] commonly in combination with a bestfit algorithm. This algorithm attempts to find the superimposition of 2 surface scans with the minimum difference between all surface points.…”

Section: Methodsmentioning

confidence: 99%

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Yılmaz

Guo

Schimmel

et al. 2023

The Journal of Prosthetic Dentistry

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“…The measurement value was defined as the vertical marginal discrepancy that was vertical marginal misfit measured parallel to the path of draw of the prosthesis [ 19 ]. For the internal gap assessment, a triple-scan technique was used, with three digital scans taken using a structured light scanner (Breuckmann SmartScan; AICON 3D Systems GmbH, Braunschweig, Germany) [ 5 ]. The first scan was of the cured prosthesis alone, the second was of the study model, and the third was of the prosthesis on the study model.…”

Section: Methodsmentioning

confidence: 99%

“…Because of these drawbacks, digital scanning and computer-aided design/computer-aided manufacturing (CAD/CAM) technologies are increasingly being used to fabricate interim polymeric prostheses [ 3 , 4 ]. The oral anatomic shape is virtually registered using an optical scanner, and the scan data are imported into dedicated dental CAD software, in which the cementation space of the prosthetic crown is set and a final prosthesis is designed [ 5 ]. The design is then transferred to CAM software where the 3D image is divided into 2D cross-sectional images and processed to the polymeric prosthesis using additive manufacturing technologies [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Postcuring Process on Dimensional Accuracy and Seating of 3D-Printed Polymeric Fixed Prostheses

Kim

Lee

2020

BioMed Research International

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The postcuring process is essential for 3-dimensional (3D) printing of photopolymer-based dental prostheses. However, the deformation of prostheses resulting from the postcuring process has not been fully investigated. The purpose of this study was to evaluate the effects of different postcuring methods on the fit and dimensional accuracy of 3D-printed full-arch polymeric fixed prostheses. A study stone model with four prosthetic implant abutments was prepared. A full-arch fixed dental prosthesis was designed, and the design was transferred to dental computer-aided manufacturing (CAM) software in which supports were designed to the surface of the prosthesis design for 3D printing. Using a biocompatible photopolymer and a stereolithography apparatus 3D printer, polymeric prostheses were produced ( N = 21 ). In postcuring, the printed prostheses were polymerized in three different ways: the prosthesis alone, the prosthesis with supports, or the prosthesis on a stone model. Geometric accuracy of 3D-printed prostheses, marginal gap, internal gap, and intermolar distance was evaluated using microscopy and digital techniques. Kruskal-Wallis and Mann-Whitney U tests with Bonferroni correction were used for the comparison of results among groups ( α = 0.05 ). In general, the mean marginal and internal gaps of cured prostheses were the smallest when the printed prostheses were cured with seating on the stone model ( P < 0.05 ). With regard to the adaptation accuracy, the presence of supports during the postcuring process did not make a significant difference. Error in the intermolar distance was significantly smaller in the model seating condition than in the other conditions ( P < 0.001 ). Seating 3D-printed prosthesis on the stone model reduces adverse deformation in the postcuring process, thereby enabling the fabrication of prostheses with favorable adaptation.

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Comparative clinical study of the marginal discrepancy of fixed dental prosthesis fabricated by the milling-sintering method using a presintered alloy

Cited by 13 publications

References 24 publications

The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software

The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Influence of the Postcuring Process on Dimensional Accuracy and Seating of 3D-Printed Polymeric Fixed Prostheses

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