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.


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    Titel :

    Virtual implant planning and fully guided implant surgery using magnetic resonance imaging - proof of principle


    Beteiligte:
    Flügge, Tabea (Autor:in) / Ludwig, Ute (Autor:in) / Hövener, Jan-Bernd (Autor:in) / Kohal, Ralf-Joachim (Autor:in) / Wismeijer, Daniel (Autor:in) / Nelson, Katja (Autor:in)

    Erscheinungsdatum :

    2020-01-01


    Anmerkungen:

    Clinical oral implants research. - 31, 6 (2020) , 575-583, ISSN: 1600-0501



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Schlagwörter :

    Klassifikation :

    DDC:    610 / 629



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