Tabea Flügge1,2, Ute Ludwig3, Jan-Bernd Hövener3,4, Ralf Kohal5, Daniel Wismeijer6, Katja Nelson2. 1. Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Department of Oral and Maxillofacial Surgery, Berlin, Germany. 2. Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Translational Implantology, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany. 3. Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany. 4. Section for Biomedical Imaging and MOIN CC, Clinic for Radiology, University Medical Center Schleswig-Holstein, Kiel, Germany. 5. Department of Prosthetic Dentistry, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany. 6. Department of Oral Implantology, Academisch Centrum Tandheelkunde Amsterdam (ACTA), Amsterdam, Netherlands.
Abstract
OBJECTIVES: To present a workflow of virtual implant planning and guided implant surgery with magnetic resonance imaging (MRI) and virtual dental models without the use of ionizing radiation. METHODS: Five patients scheduled for implant placement underwent an MR examination at three Tesla using individualized 2D and 3D turbo spin-echo (TSE) sequences and dedicated head coils. The MRI data and virtual dental models derived from either optical model scans or intraoral scans were imported to a virtual implant planning software (coDiagnostiX, Dental Wings, Montreal, Canada). Virtual prosthetic planning and implant planning were performed regarding the hard and soft tissue anatomy. A drill guide was designed on the virtual dental model using computer-aided design (CAD) and manufactured in-house, using a 3D printer (Eden 260V, Stratasys, Eden Prairie, MN, USA). RESULTS: The MRI displayed all relevant anatomical structures for dental implant planning such as cortical and cancellous bone, floor of the nasal and maxillary sinus, inferior alveolar nerve and neighboring teeth. The manual alignment of virtual dental models with the MRI was possible using anatomical landmarks. Dental implant planning, CAD/CAM of a drill guide and fully guided implant placement were successfully performed. CONCLUSIONS: Guided implant surgery is feasible with MRI without ionizing radiation. Further studies will have to be conducted to study the accuracy of the presented protocol and compare it to the current workflow of guided surgery using CBCT.
OBJECTIVES: To present a workflow of virtual implant planning and guided implant surgery with magnetic resonance imaging (MRI) and virtual dental models without the use of ionizing radiation. METHODS: Five patients scheduled for implant placement underwent an MR examination at three Tesla using individualized 2D and 3D turbo spin-echo (TSE) sequences and dedicated head coils. The MRI data and virtual dental models derived from either optical model scans or intraoral scans were imported to a virtual implant planning software (coDiagnostiX, Dental Wings, Montreal, Canada). Virtual prosthetic planning and implant planning were performed regarding the hard and soft tissue anatomy. A drill guide was designed on the virtual dental model using computer-aided design (CAD) and manufactured in-house, using a 3D printer (Eden 260V, Stratasys, Eden Prairie, MN, USA). RESULTS: The MRI displayed all relevant anatomical structures for dental implant planning such as cortical and cancellous bone, floor of the nasal and maxillary sinus, inferior alveolar nerve and neighboring teeth. The manual alignment of virtual dental models with the MRI was possible using anatomical landmarks. Dental implant planning, CAD/CAM of a drill guide and fully guided implant placement were successfully performed. CONCLUSIONS: Guided implant surgery is feasible with MRI without ionizing radiation. Further studies will have to be conducted to study the accuracy of the presented protocol and compare it to the current workflow of guided surgery using CBCT.
Authors: Franz Sebastian Schwindling; Sophia Boehm; Christopher Herpel; Dorothea Kronsteiner; Lorenz Vogel; Alexander Juerchott; Sabine Heiland; Martin Bendszus; Peter Rammelsberg; Tim Hilgenfeld Journal: J Clin Med Date: 2021-11-26 Impact factor: 4.241
Authors: Mousa Zidan; Franz S Schwindling; Alexander Juerchott; Johannes Mente; Mathias Nittka; Zahra Hosseini; Sabine Heiland; Martin Bendszus; Tim Hilgenfeld Journal: Sci Rep Date: 2022-08-18 Impact factor: 4.996