Save
Online Library
Accuracy of digital and conventional implant impressions
EAO Online Library. Bohner L. 10/06/17; 198360; PR-25
Lauren Bohner
Lauren Bohner
Login now to access Regular content available to all registered users.
Abstract
Discussion Forum (0)
Rate & Comment (0)

Background

In order to ensure a correct occlusion and fit of restorations, the accuracy of entire arch is required. In these cases, the quality of the dental cast relies on the digitizing and machining processes provided by CAD-CAM systems. As geometric errors may be introduced during the step of scanning and manufacturing of casts, their accuracy is still questionable.

Aims

To compare the accuracy of casts obtained using digital and conventional implant impressions.

Methods

A maxillary model containing dental implants on the region of canine and pre-molar was used as master model. Dental casts (n=10) were fabricated through both conventional and digital implant impressions. The conventional casts (CC), stereolithographic casts (SC) and the master model (MM) were digitized and the accuracy was determined through a deviation analysis and linear measurements. Data were analyzed using Student t-test and ANOVA with p≤, 0.05.

Results

SC showed higher deviation at vestibular (CC: 41 ± 28, SC: 117 ± 37 µm) and lingual cusps (CC: 40 ± 19, SC: 80 ± 42 µm) in comparison to CC. No statistically significant difference was found for linear measurements of conventional and digital casts.

Conclusions

The entire-arch accuracy was comparable between casts. However, in located points, stereolithographic casts were less accurate in comparison with conventional casts.

Background

In order to ensure a correct occlusion and fit of restorations, the accuracy of entire arch is required. In these cases, the quality of the dental cast relies on the digitizing and machining processes provided by CAD-CAM systems. As geometric errors may be introduced during the step of scanning and manufacturing of casts, their accuracy is still questionable.

Aims

To compare the accuracy of casts obtained using digital and conventional implant impressions.

Methods

A maxillary model containing dental implants on the region of canine and pre-molar was used as master model. Dental casts (n=10) were fabricated through both conventional and digital implant impressions. The conventional casts (CC), stereolithographic casts (SC) and the master model (MM) were digitized and the accuracy was determined through a deviation analysis and linear measurements. Data were analyzed using Student t-test and ANOVA with p≤, 0.05.

Results

SC showed higher deviation at vestibular (CC: 41 ± 28, SC: 117 ± 37 µm) and lingual cusps (CC: 40 ± 19, SC: 80 ± 42 µm) in comparison to CC. No statistically significant difference was found for linear measurements of conventional and digital casts.

Conclusions

The entire-arch accuracy was comparable between casts. However, in located points, stereolithographic casts were less accurate in comparison with conventional casts.

Code of conduct/disclaimer available in General Terms & Conditions
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.



Google Analytics is used for user behavior tracking/reporting. Google Analytics works in parallel and independently from MLG’s features. Google Analytics relies on cookies and these cookies can be used by Google to track users across different platforms/services.


Save Settings