Literature DB >> 20191274

Preliminary experience with a new three-dimensional computer-based model for the study and the analysis of skull base approaches.

Matteo de Notaris1, Alberto Prats-Galino, Luigi Maria Cavallo, Felice Esposito, Giorgio Iaconetta, Joan Berenguer Gonzalez, Stefania Montagnani, Enrique Ferrer, Paolo Cappabianca.   

Abstract

PURPOSE: The goal of the present study was to develop a three-dimensional (3D) geometrical model based on pre- and post-dissection Digital Imaging and Communication in Medicine (DICOM) images of both transcranial and endonasal skull base approaches. Such model was structured for either teaching surgical anatomy and to evaluate the amount of bone removal over the skull base surface through a 3D digital perspective.
METHODS: Twenty-five human cadaveric heads were dissected at the Laboratory of Surgical NeuroAnatomy (LSNA) of the University of Barcelona (Spain) between 2007 and 2009. Before and after each dissection, a computed tomography-scan (CT-scan) was obtained in order to create a 3D geometrical model of the same approach performed in the dissection laboratory. The model protocol was designed as follows: (1) preoperative CT-scan of the specimens; (2) creation of a computer-generated 3D model of the specimen using specific imaging software for visualization and manipulation of biomedical data; (3) dissection of the specimens; (4) development of a 3D CT-based model of the approach as a result of the overlapping of the DICOM data of the specimens before and after the dissection.
RESULTS: The fusion of the pre- and post-dissection 3D models allowed evaluation of the amount of bone removal over the skull base surface.
CONCLUSIONS: Measurements of the bony landmarks as well as the visual feedback of the drilled bone over the skull base provided by our 3D model gives the opportunity to improve the tailoring of each approach to the different skull base areas.

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Mesh:

Year:  2010        PMID: 20191274     DOI: 10.1007/s00381-010-1107-0

Source DB:  PubMed          Journal:  Childs Nerv Syst        ISSN: 0256-7040            Impact factor:   1.475


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