title: Modeling the biomechanics of swine mastication--an inverse dynamics approach.
abstract: A novel reconstructive alternative for patients with severe facial structural deformity is Le Fort-based, face-jaw-teeth transplantation (FJTT). To date, however, only ten surgeries have included underlying skeletal and jaw-teeth components, all yielding sub-optimal results and a need for a subsequent revision surgery, due to size mismatch and lack of precise planning. Numerous studies have proven swine to be appropriate candidates for translational studies including pre-operative planning of transplantation. An important aspect of planning FJTT is determining the optimal muscle attachment sites on the recipient's jaw, which requires a clear understanding of mastication and bite mechanics in relation to the new donated upper and/or lower jaw. A segmented CT scan coupled with data taken from literature defined a biomechanical model of mandible and jaw muscles of a swine. The model was driven using tracked motion and external force data of one cycle of chewing published earlier, and predicted the muscle activation patterns as well as temporomandibular joint (TMJ) reaction forces and condylar motions. Two methods, polynomial and min/max optimization, were used for solving the muscle recruitment problem. Similar performances were observed between the two methods. On average, there was a mean absolute error (MAE) of <0.08 between the predicted and measured activation levels of all muscles, and an MAE of <7 N for TMJ reaction forces. Simulated activations qualitatively followed the same patterns as the reference data and there was very good agreement for simulated TMJ forces. The polynomial optimization produced a smoother output, suggesting that it is more suitable for studying such motions. Average MAE for condylar motion was 1.2mm, which reduced to 0.37 mm when the input incisor motion was scaled to reflect the possible size mismatch between the current and original swine models. Results support the hypothesis that the model can be used for planning of facial transplantation.
authors: Department of Mechanical Engineering, Johns Hopkins University, USA. Electronic address: basafa@jhu.edu.
authors: Ehsan
authors: E
authors: Basafa
authors: Department of Mechanical Engineering, Johns Hopkins University, USA; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, USA.
authors: Ryan J
authors: RJ
authors: Murphy
authors: Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine, USA; Facial Transplant Program, The Johns Hopkins Hospital, USA.
authors: Chad R
authors: CR
authors: Gordon
authors: Department of Mechanical Engineering, Johns Hopkins University, USA; Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, USA.
authors: Mehran
authors: M
authors: Armand
mesh_terms: D000818:Animals; D001696:Biomechanical Phenomena; D007568:Jaw / Q000502:physiology; D008334:Mandible / Q000502:physiology; D008409:Mastication / Q000502:physiology*; D008953:Models, Anatomic; D018482:Muscle, Skeletal / Q000502:physiology*; D019651:Plastic Surgery Procedures; D013552:Swine; D013704:Temporomandibular Joint / Q000502:physiology
keywords: Craniomaxillofacial Surgery; Inverse dynamics; Jaw biomechanics; Swine mastication