Intra-Oral Scanner, the Promise of an Accurate Guide Fitting
Objectives: The study aimed to evaluate the feasibility and effectiveness of using intra-oral scanner (IOS) for assessing the position of endodontic guides and predicting drilling deviation. Methods: The study involved creating a maxillary model and scanning it using CBCT and a laboratory scanner. A virtual image of a drill was superimposed on the right central incisor, and an ideal endodontic guide was created. Four types of defective endodontic guides were designed with varying thicknesses to simulate defects ranging from 200 to 1150 μm. The STL files of the 4 defective endodontic guides were uploaded to the computer-aided manufacturing software, and the endodontic guides were printed using a 3D printer. The fitting of each endodontic guide on the study model was visually checked, and the study model and endodontic guide were scanned using the Trios 4 IOS by three experienced operators. Linear and angular deviations of the guide were assessed using the Geomagic metrology software and the trueness and precision of the IOS system were measured on posterior area. Results: Linear and angular deviations of the guide were assessed, and the trueness and precision of the IOS system were measured. The results showed that the mean linear deviation was 46.11 μm and the mean angular deviation was 5.91°. The IOS system presented a mean trueness of 1.28 μm and a mean precision of 11.52 μm. The study identified a linear deviation, suggesting that the fit of a guide will be inaccurate before any intervention on the tooth. Conclusions: Overall, the use of IOS for assessing the position of endodontic guides and predicting drilling deviation is feasible and effective, but further studies are needed to address the limitations of the current study, such as the use of posterior teeth as references for 3D model alignment and the requirement for a full arch impression with sufficient accuracy.
2023 Continental European and Scandinavian Divisions Meetings (Rhodes, Greece) Rhodes, Greece
2023 0018 Digital Dentistry Research Network
Binvignat, Pauline
( Université Claude Bernard Lyon 1
, Lyon
, France
)
Bittar, Elias
( Université Claude Bernard Lyon 1
, Lyon
, France
)
Villat, Cyril
( Université Claude Bernard Lyon 1
, Lyon
, France
)
Maurin, Jean-christophe
( Université Claude Bernard Lyon 1
, Lyon
, France
)
Ducret, Maxime
( Université Claude Bernard Lyon 1
, Lyon
, France
)
Richert, Raphael
( Université Claude Bernard Lyon 1
, Lyon
, France
)