Virtual implant planning and fully guided implant surgery using magnetic resonance imaging—Proof of principle

T. Flügge, U. Ludwig, J.B. Hövener, R. Kohal, D. Wismeijer, K. Nelson

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)575-583
Number of pages9
JournalClinical Oral Implants Research
Volume31
Issue number6
DOIs
Publication statusPublished - 1 Jun 2020

Funding

JBH wishes to acknowledge support by the DFG (HO 4604/2‐2), Kiel University and the Medical Faculty for supporting the Molecular Imaging North Competence Center (MOIN CC) as core facility for imaging in vivo (ERDF, 122‐09‐053).

FundersFunder number
Kiel University
Deutsche ForschungsgemeinschaftHO 4604/2‐2
European Regional Development Fund122‐09‐053

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