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1.
J Prosthet Dent ; 114(2): 229-35, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25957239

ABSTRACT

STATEMENT OF PROBLEM: Controlling tooth reduction for porcelain laminate veneers (PLVs) in fractions of millimeters is challenging. PURPOSE: The purpose of this study was to assess an automated robotic tooth preparation system for PLVs for accuracy and precision compared with conventional freehand tooth preparation. MATERIAL AND METHODS: Twenty maxillary central incisor tooth models were divided into 2 groups. Ten were assigned to a veneer preparation with a robotic arm according to preoperative preparation design-specific guidelines (experimental group). Ten were assigned to conventional tooth preparation by a clinician (control group). Initially, all tooth models were scanned with a 3- dimensional (3D) laser scanner, and a tooth preparation for PLVs was designed on a 3D image. Each tooth model was attached to a typodont. For the experimental group, an electric high-speed handpiece with a 0.9-mm-diameter round diamond rotary cutting instrument was mounted on the robotic arm. The teeth were prepared automatically according to the designed image. For the control group, several diamond rotary cutting instruments were used to prepare the tooth models according to preoperative preparation design guidelines. All prepared tooth models were scanned. The preoperative preparation design image and scanned postoperative preparation images were superimposed. The dimensional difference between those 2 images was measured on the facial aspect, finish line, and incisal edge. Differences between the experimental and the control groups from the 3D design image were computed. Accuracy and precision were compared for all sites and separately for each tooth surface (facial, finish line, incisal). Statistical analyses were conducted with a permutation test for accuracy and with a modified robust Brown-Forsythe Levene-type test for precision (α=.05). RESULTS: For accuracy for all sites, the mean absolute deviation was 0.112 mm in the control group and 0.133 mm in the experimental group. No significant difference was found between the 2 (P=.15). For precision of all sites, the standard deviation was 0.141 mm in the control group and 0.185 mm in the experimental group. The standard deviation in the control group was significantly lower (P=.030). In terms of accuracy for the finish line, the control group was significantly less accurate (P=.038). For precision, the standard deviation in the control group was significantly higher at the finish line (P=.034). CONCLUSIONS: For the data from all sites, the experimental procedure was able to prepare the tooth model as accurately as the control, and the control procedure was able to prepare the tooth model with better precision. The experimental group showed better accuracy and precision at the finish line.


Subject(s)
Dental Porcelain/standards , Dental Veneers/standards , Robotics/standards , Tooth Preparation, Prosthodontic/standards , Computer-Aided Design , Dental High-Speed Equipment , Imaging, Three-Dimensional/methods , Incisor , Lasers , Materials Testing , Models, Dental , Robotics/instrumentation , Robotics/methods , Therapy, Computer-Assisted/methods , Tooth Preparation, Prosthodontic/instrumentation , Tooth Preparation, Prosthodontic/methods
2.
Clin Oral Implants Res ; 20(1): 87-93, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19126112

ABSTRACT

OBJECTIVES: A novel implant surgery support system with computer simulation for implant insertion and fabrication of a surgical template that helps in drilling bone was developed. A virtual reality haptic device that gives the sense of touch was used for simulation and a surgical template was fabricated by CAD/CAM method. Surgical guides were applied for two clinical cases. MATERIAL AND METHODS: Three-dimensional (3D) jaw bone images transferred from DICOM data filmed by CT scanner were fed to the software and manipulated using the haptic device. The site for implant insertion was determined after evaluating the quality of bone and position of the mandibular canal. The surgical template was designed with ease using the free design CAD function of haptic device. The surgical template and bone model were fabricated by a fused deposit modeling machine. Two clinical cases were applied using the present system. RESULTS: Simulation to determine the site of implant insertion and fabrication of the surgical bone templates were successfully done in two clinical cases, one for three implant insertion in lower right jaw and the other is for seven implant insertion in lower edentulous jaw, respectively. During surgery, the templates could be firmly adapted on the bone and drilling was successfully performed in both cases. CONCLUSION: The present simulation and drilling support using the surgical template may help to perform safe and accurate implant surgery.


Subject(s)
Computer-Aided Design , Dental Implantation, Endosseous/methods , Surgery, Computer-Assisted , Computer Simulation , Female , Humans , Jaw, Edentulous, Partially/rehabilitation , Male , Mandible/surgery , Middle Aged , Models, Anatomic , Models, Dental , Radiology Information Systems , Tomography, X-Ray Computed , User-Computer Interface
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