Literature DB >> 30006228

Accuracy of 9 intraoral scanners for complete-arch image acquisition: A qualitative and quantitative evaluation.

Ryan Jin-Young Kim1, Ji-Man Park2, June-Sung Shim3.   

Abstract

STATEMENT OF PROBLEM: Different intraoral scanners (IOSs) are available for digital dentistry. However, information on the accuracy of various IOSs for complete-arch digital scans is limited.
PURPOSE: The purpose of this in vitro study was to evaluate the trueness and precision of complete-arch digital scans produced by 9 IOSs, using the superimposition method, and to compare them based on characteristics including the data capture principle and mode and the need for powder coating.
MATERIAL AND METHODS: Nine IOSs were used to obtain standard tessellation language (STL) data for a bimaxillary complete-arch model with various cavity preparations (N=10). The scanning performance was evaluated quantitatively and qualitatively. For quantitative evaluation, the images were processed and analyzed using 3-dimensional (3D) analysis software. After we superimposed the datasets, trueness was obtained by comparing it with the reference scan, and precision was obtained from intragroup comparisons. The IOSs were compared based on the data capture principle and mode and the need for powder coating. Statistical analyses were conducted using a Kruskal-Wallis test, followed by multiple Mann-Whitney U tests for pairwise comparisons among groups (α=.05). For qualitative evaluation, surface smoothness and sharp edge reproducibility of the digital images were compared.
RESULTS: The median precision values were lowest in the TRIOS model (average, 34.70 μm; maximum, 263.55 μm) and highest in the E4D model (average, 357.05 μm; maximum 2309.45 μm). Median average trueness values were lowest in the TRIOS model (42.30 μm) and highest in the Zfx IntraScan model (153.80 μm). The CS 3500 model had the lowest median maximum trueness values (450.75 μm); the E4D model had the highest values (2680.55 μm). Individual image and video sequence data captures showed similar median average trueness values (P>.05); the median maximum values of individual images were higher than those of the video sequence (P<.05). Swept source optical coherence tomography (SS-OCT) exhibited higher trueness values than those of other scanning principles (P<.05). The FastScan and True Definition, which require powder coating, showed significantly better trueness than other IOSs that did not require powdering (P<.05). The E4D, PlanScan, and Zfx IntraScan models had an increased tendency to produce images with imperfect surface features and to round off sharp edges.
CONCLUSIONS: The E4D and Zfx IntraScan models did not perform as accurately as the other IOSs. The data capture principle of SS-OCT and the mode of individual image acquisition exhibited inferior trueness. The FastScan and True Definition, which require powder coating, exhibited better trueness. The qualitative aspects of the IOSs varied in terms of polygon shapes, sharp edge reproducibility, and surface smoothness.
Copyright © 2018 Editorial Council for the Journal of Prosthetic Dentistry. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 30006228     DOI: 10.1016/j.prosdent.2018.01.035

Source DB:  PubMed          Journal:  J Prosthet Dent        ISSN: 0022-3913            Impact factor:   3.426


  14 in total

1.  Evaluation of different registration methods and dental restorations on the registration duration and accuracy of cone beam computed tomography data and intraoral scans: a retrospective clinical study.

Authors:  Xing-Yu Piao; Ji-Man Park; Hannah Kim; Youngjun Kim; June-Sung Shim
Journal:  Clin Oral Investig       Date:  2022-05-10       Impact factor: 3.606

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

Authors:  Se-Won Park; Yong-Do Choi; Du-Hyeong Lee
Journal:  J Adv Prosthodont       Date:  2020-06-18       Impact factor: 1.904

3.  Trueness and precision of 5 intraoral scanners in the impressions of single and multiple implants: a comparative in vitro study.

Authors:  Francesco Guido Mangano; Uli Hauschild; Giovanni Veronesi; Mario Imburgia; Carlo Mangano; Oleg Admakin
Journal:  BMC Oral Health       Date:  2019-06-06       Impact factor: 2.757

4.  Three-Dimensional Evaluation on Accuracy of Conventional and Milled Gypsum Models and 3D Printed Photopolymer Models.

Authors:  Jae-Won Choi; Jong-Ju Ahn; Keunbada Son; Jung-Bo Huh
Journal:  Materials (Basel)       Date:  2019-10-25       Impact factor: 3.623

5.  Repeatability of Intraoral Scanners for Complete Arch Scan of Partially Edentulous Dentitions: An In Vitro Study.

Authors:  Jae-Hyun Lee; Je-Hyeon Yun; Jung-Suk Han; In-Sung Luke Yeo; Hyung-In Yoon
Journal:  J Clin Med       Date:  2019-08-08       Impact factor: 4.241

6.  Trueness of ten intraoral scanners in determining the positions of simulated implant scan bodies.

Authors:  Ryan Jin Young Kim; Goran I Benic; Ji-Man Park
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

7.  Bias Evaluation of the Accuracy of Two Extraoral Scanners and an Intraoral Scanner Based on ADA Standards.

Authors:  Naiyu Cui; Jiayin Wang; Xingyu Hou; Shixun Sun; Qixuan Huang; Ho-Kyung Lim; HongXin Cai; Qi Jia; Eui-Seok Lee; Heng Bo Jiang
Journal:  Scanning       Date:  2021-06-10       Impact factor: 1.932

Review 8.  Ceramic Materials and Technologies Applied to Digital Works in Implant-Supported Restorative Dentistry.

Authors:  Se-Wook Pyo; Dae-Joon Kim; Jung-Suk Han; In-Sung Luke Yeo
Journal:  Materials (Basel)       Date:  2020-04-22       Impact factor: 3.623

Review 9.  Accuracy of an intraoral digital impression: A review.

Authors:  Kanchan Aswani; Sattyam Wankhade; Arun Khalikar; Suryakant Deogade
Journal:  J Indian Prosthodont Soc       Date:  2020-01-27

10.  Accuracy on Scanned Images of Full Arch Models with Orthodontic Brackets by Various Intraoral Scanners in the Presence of Artificial Saliva.

Authors:  Jihu Song; Minji Kim
Journal:  Biomed Res Int       Date:  2020-02-27       Impact factor: 3.411

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