Victoria A Mañón, Nicholas Oda, Emeric Boudreaux, Huy Tran, Simon Young, James C Melville
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引用次数: 0
Abstract
Study design: This article is to evaluate the early outcomes of dental implants placed in bone generated with tissueengineering techniques, specifically recombinant human bone morphogenic protein-2 (rhBMP-2), allogeneicbone particulate, and bone marrow aspirate concentrate (BMAC) in patients with resection of benignpathology.
Objective: To evaluate the long-term prognosis of dental implants placed in tissue engineered mandibular reconstruction.
Methods: We retrospectively evaluated 12 patient records, all of whom underwent segmental mandibular resection of benign pathology and reconstruction with a combination of BMAC, rhBMP-2, and allogeneic bone. Collecteddata points included the patient's age, gender, medical and social histories, implant site and placement date, resection/reconstruction date, final prosthesis, pathology resected, and follow-up dates (average 25 monthsof follow-up). Implant success was defined as clinical osseointegration (immobility), absence of peri-implantradiolucency, and absence of infection.
Results: Twelve patients met inclusion criteria with a total of 46 implants. The overall implant survival rate was 91.3%. There were 4 implant failures occurring in two patients: 1 failure in Patient 3 and 3 failures in Patient 8. Neitherpatient had any existing medical comorbidities or social history known to increase the risk for implant failure. The average implant placement occurred 11.6 months after mandibular reconstruction.
Conclusions: Preliminary findings of implant placement in bone generated with tissue engineering techniques have shown to be another predictable alternative for orofacial rehabilitation. Practical Implications: Dental rehabilitationusing dental implants is a predictable treatment option for patients that have required reconstruction of largebony defects status post resection of benign pathology using novel tissue engineering techniques.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.