Craniomaxillofacial patient-specific CAD/CAM implants based on cone-beam tomography data – A feasibility study

Customized implants have simplified surgical procedures and have improved patient outcome in craniomaxillofacial surgery. Traditionally, patient-specific data is gathered by conventional computed tomography (CT). However, cone-beam CT (CBCT) can generate a 3D reconstruction of the area of interest w...

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Veröffentlicht in:Journal of cranio-maxillo-facial surgery 2018-09, Vol.46 (9), p.1461-1464
Hauptverfasser: Thiele, Oliver C., Nolte, Isabel M., Mischkowski, Robert A., Safi, Ali F., Perrin, Jason, Zinser, Max, Zöller, Joachim E., Kreppel, Matthias
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Sprache:eng
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Zusammenfassung:Customized implants have simplified surgical procedures and have improved patient outcome in craniomaxillofacial surgery. Traditionally, patient-specific data is gathered by conventional computed tomography (CT). However, cone-beam CT (CBCT) can generate a 3D reconstruction of the area of interest with a lower dose of radiation at reduced cost. In this study, we investigated the feasibility of using CBCT data to design and generate customized implants for patients requiring craniomaxillofacial reconstruction. We used CBCT to generate 62 implants for 51 consecutive patients admitted to our department between January 2015 and December 2017. The indications for reconstruction and types of reconstruction were very variable. In all cases, the implants were well fitted and no implant-related complications were detected. Pre-surgical planning was faster and more efficient as we did not have to consult a radiologist. Although CBCT data is more difficult to process than conventional CT data for the implant provider, the clinical advantages are pronounced and we now use CBCT as standard in our department. In conclusion, we have shown that using CBCT to design and manufacture customized implants for reconstruction of the craniomaxillofacial area is feasible and recommend this approach to other departments.
ISSN:1010-5182
1878-4119
DOI:10.1016/j.jcms.2018.05.056