Jayanthi Parthasarathy B.D.S. e-mail: jayanthi@ou.edu Binil Starly Assistant Professor e-mail: starlyb@ou.edu Shivakumar Raman David Ross Boyd Professor e-mail: raman@ou.edu Center for Shape Engineering and Advanced Manufacturing, School of Industrial Engineering, University of Oklahoma, 202 W. Boyd Street, Room 124, Norman, OK 73019-0631 Computer Aided Biomodeling and Analysis of Patient Specific Porous Titanium Mandibular Implants Custom implants for the reconstruction of mandibular defects have recently gained im- portance due to their better performance over their generic counterparts. This is attrib- uted to their precise adaptation to the region of implantation, reduced surgical times, and better cosmesis. Recent introduction of direct digital manufacturing technologies, which enable the fabrication of implants from patient specific data, has opened up a new horizon for the next generation of customized maxillofacial implants. In this article, we discuss a representative volume element based technique in which precisely defined po- rous implants with customized stiffness values are designed to match the stiffness and weight characteristics of surrounding healthy bone tissue. Dental abutment structures have been incorporated into the mandibular implant. Finite element analysis is used to assess the performance of the implant under masticatory loads. This design strategy lends itself very well to rapid manufacturing technologies based on metal sintering processes. DOI: 10.1115/1.3192104 Keywords: CT reconstruction, mandibular implants, porous titanium, layered manufacturing 1 Introduction Mandibular reconstruction after tumor resection presents a sig- nificant challenge to maxillofacial surgeons today 1. Mandibular defects occur due to trauma, orofacial tumors, infection, and other space occupying lesions like cysts. Defects in continuity of the mandible lead to severe facial deformities, major difficulties in verbalization, deglutition, and mastication. The extent of the af- fliction increases with the size and location of the defect. Other than somatic effects, the patient’s quality of life is significantly affected due to the loss of mandibular continuity. Several methods of defect reconstruction, such as autogenous bone grafts, generic alloplastic bone plates, and custom mandibu- lar reconstruction trays are being used presently. Autografts are the “gold standard” from an immune response point of view. However, the use of autografts are limited due to issues such as donor site morbidity, lack of sufficient graft quantity, chances of infection, and patient discomfort 2–5. Generically available mandibular reconstruction plates do not confirm to the exact mor- phology of the resected part of the mandible, making it difficult for post operative dental reconstruction Figs. 1aand 1b. Mar- tola et al. 6suggested plates that match closely the three- dimensional shape of the mandible to avoid requirements of intra- operative bending. Custom designed and fabricated implants have been found to have advantages of better fit, reduced operating time, and lesser chances for infection, faster recovery, and better cosmesis in cran- iofacial surgery 7–9. Custom mandibular trays have been used for mandibular reconstruction by Samman et al. 10. A mandibu- lar replica was reconstructed from clinical measurements made from the patient’s mandible. The titanium implant is built through a casting or swaging process or CNC milling Fig. 2. Yaxiong et al. 11and Singare et al. 12,13fabricated custom mandibular titanium implants using computer aided design CADsoftware and rapid prototyping RPtechnologies. Patient specific CT scan data of the defect site was used to produce a virtual reconstruction of the mandibular implant. Data from the contralateral side were mirrored and processed in a virtual CAD environment to arrive at the final shape of the mandibular implant. A stereolithographic SLAphysical prototype model of the skull and the final design of the implant were fabricated. The SLA negative mold of the implant was used as a sacrificial part to cast titanium into the mold. Holes were then drilled into the body of the implant to reduce its weight. This process is now extensively used in a clini- cal setting and has greatly improved treatment modalities, but still have inherent deficiencies, enumerated below, making it necessary to explore newer methods for improved treatment outcome. The deficiencies of the above process are as follows. aTitanium implants built using this process are often heavy and can cause discomfort to the patients. The Young’s modulus of titanium is almost five times that of cortical bone resulting in stress shielding effects 14,15. bSecondary processing increases cost and time, resulting in subsequent delay in treatment and increased cost of health care to the patient/insurance provider. cRP models are used only as sacrificial models and sec- ondary manufacturing methodologies, such as casting and swaging, are required to be used for fabrication of the final implants. While virtual reconstruction of the mandible implant has re- sulted in significant design improvements, newer technologies to custom design the implant to match the mechanical properties of the surrounding tissue need to be adopted. New generation of implants would be porous, enabling the in-growth of healthy bone tissue for additional implant fixation and stabilization. Newer im- plants would conform to the external shape of the defect site that is intended to be replaced. More importantly, the effective elastic modulus of the implant should match that of surrounding tissue. Ideally the weight of the implant should also be equal to the weight of the tissue that is being replaced, resulting in increased Manuscript received February 24, 2009; final manuscript received: April 29, 2009; published online September 1, 2009. Review conducted by Vijay Goel. Journal of Medical Devices SEPTEMBER 2009, Vol. 3 / 031007-1 Copyright © 2009 by ASME Downloaded 16 Sep 2009 to 129.15.14.53. Redistribution subject to ASME license or copyright; see http://www.asme.org/terms/Terms_Use.cfm