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Jun.-Prof. Kernen hat sein Zahnmedizinstudium an der Universität Basel absolviert und dort 2012 abgeschlossen. und war zunächst als Zahnarzt in einer Praxis tätig. Bereits einige Monate später Nach einer kurzen Tätigkeit niedergelassener Zahnarztkehrte ging er als wissenschaftlicher Mitarbeiter zurück an das Universitäre Zentrum für Zahnmedizin Basel und hat 2014 an der Universität Basel seine Promotion zum Dr. med. dent. abgeschlossen. Während der Promotionsphase ging er als International Fellow an das Department of Reconstructive Sciences der University of Connecticut in Farmington, USA. Nach Ende des Fellowships blieb er an der University of Connecticut und hat dort den Masterstudiengang "Dental Science" absolviert und zudem das “Certificate of Competence in Implant Surgery” am Department of Reconstructive Sciences erworben. Im November 2017 kam Jun-Prof. Kernen als Klinischer Wissenschaftler für Translationale Implantologie an die Klinik für Mund-, Kiefer- und Gesichtschirurgie des Universitätsklinikums Freiburg.
The tasks of Working Groups 1 to 6 at the 4th Consensus Meeting of the Oral Reconstruction Foundation were to elucidate clinical recommendations for implant-supported full-arch rehabilitations in edentulous patients. Six systematic/ narrative reviews were prepared to address the following subtopics: (1) the influence of medical and geriatric factors on implant survival; (2) the prevalence of peri-implant diseases; (3) the influence of material selection, attachment type, interarch space, and opposing dentition; (4) different interventions for rehabilitation of the edentulous maxilla; (5) different interventions for rehabilitation of the edentulous mandible; and (6) treatment choice and decision-making in elderly patients. Consensus statements, clinical recommendations, and implications for future research were determined based on structured group discussions and plenary session approval.
This article aims to give an overview of the application of digital technologies in implant dentistry. The workflow of digital imaging, computer-aided design and computer-aided manufacturing is followed with regard to implant dentistry.
In digital imaging, cone-beam computed tomography (CBCT) and optical surface scanning, including intraoral scanning and extraoral scanning of impressions or models are discussed. The advantages of direct digitization using intraoral scanners are contrasted by the lack of scientific data on the accuracy of these technologies in certain situations. CBCT is the clinical standard for three-dimensional imaging diagnostics, however, CBCT data are significantly compromised by imaging artifacts originating from dental restorations.
Computer-aided design (CAD) is used for virtual implant planning with regard to anatomical structures relevant to surgical implant placement and therefore to the long-term success of dental implants or the virtual design of implant-supported restorations. The acquired digital imaging data are used to virtually design the implant-supported restorations that are used for diagnosis and backward planning as well as possibly for the production of the final restorations on implants.
Computer-aided manufacturing is applied for the production of drill guides and implant-supported restorations. Additive and subtractive production technologies and available materials as well as their indications are the focus in this article.
Keywords: Digital implant dentistry, optical surface scanning, intraoral scanning, CAD/CAM, virtual implant planning, guided implant surgery
Teaching surgical procedures to students is a challenging task. They combine a thorough knowledge of anatomical structures with operational techniques and require an understanding of the three-dimensional configuration. Seminars, lectures, or video tutorials have their strengths in deepening theoretical knowledge. Their unfortunate drawback is that they can only offer a two-dimensional perspective. Trainee surgeons or students need to obtain adequate powers of spatial perception before commencing surgical procedures.
Dental implant placement does not require a special degree or training. After graduating from dental school the dentist can perform implant surgeries without passing through a specific training. Many predoctoral dental curricula, however, do not include implant dentistry. Furthermore, students often do not participate in surgical treatment and their approach to learning surgical techniques is limited to observing (Kihara et al., 2017). Present models for hands-on practice do not transfer clinical situations to the training lab and might therefore not be sufficient as preparation to actual surgical interventions (Li et al., 2011).
Three-dimensional imaging renders a unique possibility to study patient anatomy prior to surgery. Recent advances in computer-aided design and 3D printing technology are the foundation to transfer anatomical images to haptic models for surgery simulation. The use of patient-specific models replicating hard and soft tissue configuration provide helpful information not only to the surgeon but also to the student (Nobis et al., 2014).
Haptic models derived from three-dimensional imaging data are used to educate students on patient-individual anatomy and to prevent from intraoperative complications related to surgical technique.
Additionally, haptic models may be used to discuss and train soft tissue handling prior to a surgical intervention. Until today, fabricating a realistic soft tissue layer is the challenge but new materials introduced in stereolithography might be able to overcome this limitation (Park et al., 2017).
Combined hard and soft tissue models are a useful learning instrument and might therefore increase the efficiency and success of dental implant surgeries.
The purpose of this poster is to present a protocol for dental implant education. It may provide helpful information to increase the confidence of the inexperienced student and to visualize surgical challenges to the experienced clinician.
Keywords: dental training, surgical training, dental implant, image guided surgery, preoperative planning, haptic model, 3D printing