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Int J Comput Assist Radiol Surg ; 12(5): 889-895, 2017 May.
Artículo en Inglés | MEDLINE | ID: mdl-28197759

RESUMEN

PURPOSE: The aim of the study was to validate a minimally invasive, multi-port approach to the internal auditory canal at the lateral skull base on a cadaver specimen. METHODS: Fiducials and a custom baseplate were fixed on a cadaver skull, and a computed tomography image was acquired. Three trajectories from the mastoid surface to the internal auditory canal were computed with a custom planning tool. A self-developed positioning system with a drill guide was attached to the baseplate. After referencing on a high precision coordinate measuring machine, the drill guide was aligned according to the planned trajectories. Drilling of three trajectories was performed with a medical stainless steel drill bit. RESULTS: The process of planning and drilling three trajectories to the internal auditory canal with the presented workflow and tools was successful. The mean drilling error of the system (Euclidian distance between the planned trajectory and centerline of the actual drilled canal) was [Formula: see text] mm at the entry point and [Formula: see text] mm at the target. The inaccuracy of the drill process itself and its physical limitations were identified as the main contributing factors. CONCLUSION: The presented system allows the planning and drilling of multiple minimally invasive canals at the lateral skull base. Further studies are required to reduce the drilling error and evaluate the clinical application of the system.


Asunto(s)
Implantación Coclear/métodos , Apófisis Mastoides/cirugía , Base del Cráneo/cirugía , Hueso Temporal/cirugía , Algoritmos , Artefactos , Cadáver , Humanos , Apófisis Mastoides/diagnóstico por imagen , Procedimientos Quirúrgicos Mínimamente Invasivos/métodos , Afecciones Crónicas Múltiples , Posicionamiento del Paciente , Reproducibilidad de los Resultados , Base del Cráneo/diagnóstico por imagen , Cirugía Asistida por Computador , Hueso Temporal/diagnóstico por imagen , Tomografía Computarizada por Rayos X , Flujo de Trabajo
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