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In vitro comparison of dental implant insertion accuracy (trueness and precision) implementing static surgical guides fabricated using three-dimensional intraoral scan data vs. data from scanning conventional dental impression in tooth-supported and free-end posterior edentulous cases

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Date
2022
Author
Morshedi Oskouie, Asra
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Abstract
We will compare the accuracy of dental implant surgical guides made using intraoral 3D scan data with the accuracy of surgical guides made using conventional dental mold scan data in edentulous cases with tooth support and free ends in a laboratory environment. For this purpose, we use the reproduction of an existing radiopaque dental model for implant training in two groups: a group that uses intraoral scan data to create a surgical guide and a group that uses molding scan data to create a surgical guide. It is prepared from CBCT jaw model and DICOM data. Surgical guides are designed using the obtained data with the help of software and saved as STL files. Surgical guides are made from STL data using a stereolithography method by a 3D printer and a special transparent resin. Implants were placed on 18 resin models in each group according to the manufacturer's guided surgical protocol. Each model is rescanned by attaching the scanbody to the implants and its data is entered into the treatment review module of the design software. The accuracy of the implants placed with the surgical guide in the studied conditions is measured by referring to the data of the relevant module of the design software, including the deviation of the angles and the deviation of the distances of the coronal and apical part of the implant. To check the normality of the distribution of numerical data, the mean and median values are calculated using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Data will be represented by parametric distribution with mean values and standard deviation (SD). Paired t-test will be used for intergroup comparison. Statistical analysis was performed using IBM SPSS Statistics version 26 for Windows.
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https://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/67853
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