Comparison of the accuracy of implant placement using different drilling systems for static computer‐assisted implant surgery: A simulation‐based experimental study

Author(s):  
Paknisa Sittikornpaiboon ◽  
Sirida Arunjaroensuk ◽  
Boosana Kaboosaya ◽  
Keskanya Subbalekha ◽  
Nikos Mattheos ◽  
...  
2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
LuisErnesto Arriola-Guillén ◽  
Nicole Báez-Marrero ◽  
JoséLuis Rafel ◽  
YalilAugusto Rodríguez-Cárdenas ◽  
AronAliaga-Del Castillo ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniele De Santis ◽  
Luciano Malchiodi ◽  
Alessandro Cucchi ◽  
Adam Cybulski ◽  
Giuseppe Verlato ◽  
...  

Purpose. Computer-assisted stereolithographically guided surgery allows an ideal implant placement for prosthetic restoration. Two types of stereolithographic templates are currently available: a fully guided template and a pilot-drill guided template. The purpose of this study was (i) to evaluate the accuracy of implant insertion using these types of surgical templates and (ii) to define parameters influencing accuracy. Materials and Methods. 20 patients were enrolled and divided into 2 study groups: in group A, implants were placed using CAD-CAM templates with fully guided sleeves; in group B, implants were placed with a template with only pilot-drill guided sleeves. Pre- and postoperative computed tomographies were used to measure differences between final positions of implants and virtually planned positions. Three linear discrepancies (coronal, apical, and depth) and two angular ones (buccolingual and mesiodistal) were measured. Correlations between accuracy and jaws of interest, implant length and diameters, and type of edentulism were also analysed. Results. A total of 50 implants were inserted in 15 patients using CAD-CAM templates: 23 implants in group A and 27 in group B. The mean coronal deviations were 1.16 and 1.11 mm (P = 0.35), respectively; the mean apical deviations were 1.65 and 1.71 mm (P = 0.22); the mean depth deviations were 0.95 and −0.68 mm (P = 0.032); the mean buccolingual angular deviations were 4.16° and 6.72° (P = 0.042); and the mean mesiodistal ones were 2.81° and 5.61° (P = 0.029). In addition, the accuracy was statistically influenced only by implant diameter for coronal discrepancy (P = 0.035) and by jaw of interest for mesiodistal angulation (P = 0.045). Conclusion. Fully guided implant surgery was more accurate than pilot-drill guided surgery for different parameters. For both types of surgery, a safety margin of at least 2mm should be preserved during implant planning to prevent damage to nearby anatomical structures.


2021 ◽  
Vol 38 (SI-2) ◽  
pp. 148-156
Author(s):  
Ceylan ÇİÇEKDAĞI İLHAN ◽  
Mehmet DİKMEN ◽  
Emir YÜZBAŞIOĞLU

Advances in digital technologies offer 3D integrated solutions for digital implnat planning.Virtual implant placement and guided implant surgery are claimed to provide more predictable results even in complicated implant treatments.Technology is now capable to properly transfer the virtually planned optimal positon of implants to reality during surgery.However clinicians have to be aware of the potential deviation factors and risks of the different types of guided surgery systems to reduce the risk of complications.The aim of this review is to evaluate the efficiency and accuracy of different computer-assisted dental implant placement techniques and to discuss potential error sources for each technique.


2020 ◽  
Vol 49 (10) ◽  
pp. 1335-1342 ◽  
Author(s):  
M. Cassetta ◽  
F. Altieri ◽  
M. Giansanti ◽  
M. Bellardini ◽  
G. Brandetti ◽  
...  

2018 ◽  
Author(s):  
Chris Vogl ◽  
Peng Zheng ◽  
Stephen P. Seslar ◽  
Aleksandr Y. Aravkin

AbstractWe consider the problem of locating a point-source heart arrhythmia using data from a standard diagnostic procedure, where a reference catheter is placed in the heart, and arrival times from a second diagnostic catheter are recorded as the diagnostic catheter moves around within the heart.We model this situation as a nonconvex feasibility problem, where given a set of arrival times, we look for a source location that is consistent with the available data. We develop a new optimization approach and fast algorithm to obtain online proposals for the next location to suggest to the operator as she collects data. We validate the procedure using a Monte Carlo simulation based on patients’ electrophysiological data. The proposed procedure robustly and quickly locates the source of arrhythmias without any prior knowledge of heart anatomy.


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