Jan Oliver Voss1, Viktor Varjas2, Jan-Dirk Raguse3, Nadine Thieme4, R Geoff Richards5, Lukas Kamer6. 1. AO Research Institute Davos, Clavadelerstrasse 8, 7270 Davos, Switzerland; Department of Oral & Maxillofacial Surgery, Charité Universitätsmedizin Berlin, Campus Virchow- Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany. Electronic address: jan.voss@charite.de. 2. AO Research Institute Davos, Clavadelerstrasse 8, 7270 Davos, Switzerland. Electronic address: viktor.varjas@aofoundation.org. 3. Department of Oral & Maxillofacial Surgery, Charité Universitätsmedizin Berlin, Campus Virchow- Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany. Electronic address: jan-dirk.raguse@charite.de. 4. Department of Radiology, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany. Electronic address: nadine.thieme@charite.de. 5. AO Research Institute Davos, Clavadelerstrasse 8, 7270 Davos, Switzerland. Electronic address: geoff.richards@aofoundation.org. 6. AO Research Institute Davos, Clavadelerstrasse 8, 7270 Davos, Switzerland. Electronic address: lukas.kamer@aofoundation.org.
Abstract
PURPOSE: Computer-assisted preoperative planning (CAPP) usually relies on computed tomography (CT) or cone beam CT (CBCT) and has already become an established technique in craniomaxillofacial surgery. The purpose of this study was to implement CT-based virtual fracture reduction as a key planning feature in patients with bimandibular fractures. MATERIAL AND METHODS: Nine routine preoperative CT scans of patients with bilateral mandibular fractures were acquired and post-processed using a mean model of the mandible and Amira software extended by custom-made scripting and programming modules. RESULTS: A computerized technique was developed that allowed three-dimensional modeling, separation of the mandible from the cranium, distinction of the fracture fragments, and virtual fracture reduction. User interaction was required to label the mandibular fragments by landmarks. Virtual fracture reduction was achieved by optionally using the landmarks or the contralateral unaffected side as anatomical references. CONCLUSION: We successfully elaborated an effective technique for virtual fracture reduction of the mandible using a standard CT protocol. It offers expanded planning options for osteosynthesis construction or the manufacturing of personalized rapid prototyping guides in fracture reduction procedures. CAPP is justified in complex mandibular fractures and may be adopted in addition to routine preoperative CT assessment.
PURPOSE: Computer-assisted preoperative planning (CAPP) usually relies on computed tomography (CT) or cone beam CT (CBCT) and has already become an established technique in craniomaxillofacial surgery. The purpose of this study was to implement CT-based virtual fracture reduction as a key planning feature in patients with bimandibular fractures. MATERIAL AND METHODS: Nine routine preoperative CT scans of patients with bilateral mandibular fractures were acquired and post-processed using a mean model of the mandible and Amira software extended by custom-made scripting and programming modules. RESULTS: A computerized technique was developed that allowed three-dimensional modeling, separation of the mandible from the cranium, distinction of the fracture fragments, and virtual fracture reduction. User interaction was required to label the mandibular fragments by landmarks. Virtual fracture reduction was achieved by optionally using the landmarks or the contralateral unaffected side as anatomical references. CONCLUSION: We successfully elaborated an effective technique for virtual fracture reduction of the mandible using a standard CT protocol. It offers expanded planning options for osteosynthesis construction or the manufacturing of personalized rapid prototyping guides in fracture reduction procedures. CAPP is justified in complex mandibular fractures and may be adopted in addition to routine preoperative CT assessment.
Authors: Marc Anton Fuessinger; Mathieu Gass; Caroline Woelm; Carl-Peter Cornelius; Ruediger M Zimmerer; Philipp Poxleitner; Stefan Schlager; Marc Christian Metzger Journal: J Clin Med Date: 2021-12-20 Impact factor: 4.241