Fully Digital Workflow for Planning Static Guided Implant Surgery: A Prospective Accuracy Study

Lin, Chia-Cheng; Wu, Chia Chang; Huang, Mao-Suan; Huang, Chih-Wei; Cheng, Hsin-Chung; Wang, Dayen Peter

doi:10.3390/jcm9040980

Cited by 49 publications

(48 citation statements)

References 41 publications

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“…A systematic review of 24 clinical and preclinical studies by Tahmaseb et al [ 21 ] revealed mean total errors of 1.12 mm at the implant platform and 1.39 mm at the implant apex, and a mean angular deviation of 3.89°. The mean error in our study was 0.44 mm at the entry point (implant platform) for FDW and 0.85 for PDW, similar to the results obtained by Lin et al [ 34 ] (0.78 mm), Cristache and Gurbanescu 0.79 mm [ 4 ] and Kiatkroekkrai et al 0.87(full digital group) and 1.01 (partially digital group) [ 9 ].…”

Section: Discussionsupporting

confidence: 91%

Accuracy, Labor-Time and Patient-Reported Outcomes with Partially versus Fully Digital Workflow for Flapless Guided Dental Implants Insertion—A Randomized Clinical Trial with One-Year Follow-Up

Cristache

Burlibașa

Tudor

et al. 2021

JCM

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(1) Background: Prosthetically-driven implant positioning is a prerequisite for long-term successful treatment. Transferring the planned implant position information to the clinical setting could be done using either static or dynamic guided techniques. The 3D model of the bone and surrounding structures is obtained via cone beam computed tomography (CBCT) and the patient’s oral condition can be acquired conventionally and then digitalized using a desktop scanner, partially digital workflow (PDW) or digitally with the aid of an intraoral scanner (FDW). The aim of the present randomized clinical trial (RCT) was to compare the accuracy of flapless dental implants insertion in partially edentulous patients with a static surgical template obtained through PDW and FDW. Patient outcome and time spent from data collection to template manufacturing were also compared. (2) Methods: 66 partially edentulous sites (at 49 patients) were randomly assigned to a PDW or FDW for guided implant insertion. Planned and placed implants position were compared by assessing four deviation parameters: 3D error at the entry point, 3D error at the apex, angular deviation, and vertical deviation at entry point. (3) Results: A total of 111 implants were inserted. No implant loss during osseointegration or mechanical and technical complications occurred during the first-year post-implants loading. The mean error at the entry point was 0.44 mm (FDW) and 0.85 (PDW), p ≤ 0.00; at implant apex, 1.03 (FDW) and 1.48 (PDW), p ≤ 0.00; the mean angular deviation, 2.12° (FDW) and 2.48° (PDW), p = 0.03 and the mean depth deviation, 0.45 mm (FDW) and 0.68 mm (PDW), p ≤ 0.00; (4) Conclusions: Despite the statistically significant differences between the groups, and in the limits of the present study, full digital workflow as well as partially digital workflow are predictable methods for accurate prosthetically driven guided implants insertion.

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Section: Discussionsupporting

confidence: 91%

Accuracy, Labor-Time and Patient-Reported Outcomes with Partially versus Fully Digital Workflow for Flapless Guided Dental Implants Insertion—A Randomized Clinical Trial with One-Year Follow-Up

Cristache

Burlibașa

Tudor

et al. 2021

JCM

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“…Thus, operators should be aware of the errors that inevitably occur because of the morphological differences between matched images, and they should focus on minimizing additional operator errors caused by inappropriate manual works. In this study, point-based surface registration was performed in planning software programs that are widely used in guided implant surgery [9]. The general results were similar in the 2 software programs.…”

Section: Discussionmentioning

confidence: 79%

“…In this study, point-based surface registration was performed in planning software programs that are widely used in guided implant surgery [ 9 ]. The general results were similar in the 2 software programs.…”

Section: Discussionmentioning

confidence: 99%

“…Image registration is the process of matching the optical scan image to the 3D-reconstructed CBCT image [9,10]. Accurate image registration is essential to replicate the exact relationship of underlying bone and oral cavity surface data [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…The computer algorithm of iterative closest points (ICPs) locates optimal positions of pair images by computing the 3D coordinates of image surface point clouds [14]. The accuracy of image superimposition by graphic processing has been validated [16], and currently, point-based surface matching is widely used in the dental planning and inspection computer software programs for the enhancement of efficiency and accuracy of matching [9].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography

Mai

Lee

2020

BioMed Research International

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The point-based surface registration method involves the manual selection process of paired matching points on the data of computed tomography and optical scan. The purpose of this study was to investigate the impact of selection error and distribution of fiducial points on the accuracy of image matching between 3-dimensional (3D) images in dental planning software programs. Computed tomography and optical scan images of a partial edentulous dental arch were obtained. Image registration of the optical scan image to computed tomography was performed using the point-based surface registration method in planning software programs under different conditions of 3 fiducial points: point selection error (0, 1, or 2 mm), point distribution (unilateral, bilateral), and planning software (Implant Studio, Blue Bio Plan) (n=5 per condition, N=60). The accuracy of image registration at each condition was evaluated by measuring linear discrepancies between matched images at X, Y, and Z axes. Kruskal-Wallis test, Mann-Whitney U test with Bonferroni correction, and 3-way analysis of variance were used to statistically analyse the measurement data (α=0.05). No statistically significant difference was exhibited between the 0 and 1 mm point mismatch conditions in either unilateral or bilateral point distributions. The discrepancy values in the 2 mm mismatch condition were significantly different from the other mismatch conditions, especially in the unilateral point distribution (P<0.05). Strong interactions among point selection error, distribution, and software programs on the image registration were found (P<0.001). Minor matching point selection error did not influence the accuracy of point-based automatic image registration in the software programs. When the fiducial points are distributed unilaterally with large point selection error, the image matching accuracy could be decreased.

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Interpolation of tensile properties of polymer composite based on Polyjet 3D printing

Mayyas

2021

Prog Addit Manuf

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Fully Digital Workflow for Planning Static Guided Implant Surgery: A Prospective Accuracy Study

Cited by 49 publications

References 41 publications

Accuracy, Labor-Time and Patient-Reported Outcomes with Partially versus Fully Digital Workflow for Flapless Guided Dental Implants Insertion—A Randomized Clinical Trial with One-Year Follow-Up

Accuracy, Labor-Time and Patient-Reported Outcomes with Partially versus Fully Digital Workflow for Flapless Guided Dental Implants Insertion—A Randomized Clinical Trial with One-Year Follow-Up

Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography

Interpolation of tensile properties of polymer composite based on Polyjet 3D printing

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