Learning Brainstem Anatomy using App in the CG Simulation Era
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- Kin Taichi
- Department of Neurosurgery, The University of Tokyo
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- Kakizawa Yukinari
- Department of Neurosurgery, Japanese Red Cross Society Suwa Hospital
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- Kiyofuji Satoshi
- Department of Neurosurgery, The University of Tokyo
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- Nakatomi Hirofumi
- Department of Neurosurgery, The University of Tokyo
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- Saito Nobuhito
- Department of Neurosurgery, The University of Tokyo
Bibliographic Information
- Other Title
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- アプリで学ぶCGシミュレーション時代の脳幹解剖
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Description
<p> The choice of surgical approach is among the most important considerations in the surgical study of brainstem cavernous malformations. Specific considerations include whether the approach is the one with the lowest likelihood of worsening neurological symptoms, whether a field of view can be secured so that the lesion can be completely removed, and whether the complicated developmental venous anomaly can be preserved. Furthermore, it is necessary to consider a three-dimensional surgical approach in which the lesion on the most superficial part of the brainstem is the most accessible point. Accordingly, knowledge of normal anatomy and safe entry zones (SEZs) is critical. No-kan is a free app developed by the Department of Neurosurgery at the University of Tokyo that allows users to study the anatomy of the brainstem and SEZs. The app shows numerous cranial nerves, nuclei, and white matter fibers present in the brainstem as three-dimensional computer graphics. The points of surgical approach to 16 SEZs reported in 21 studies are also described. With the aim of promoting understanding of the surgical anatomy of the brainstem in three dimensions, this paper outlines the anatomy of the brainstem focusing on SEZs, with reference to 3D computer graphics in the No-kan app.</p>
Journal
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- Japanese Journal of Neurosurgery
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Japanese Journal of Neurosurgery 30 (9), 646-654, 2021
The Japanese Congress of Neurological Surgeons
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Details 詳細情報について
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- CRID
- 1390571007536931328
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- NII Article ID
- 130008091719
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- ISSN
- 21873100
- 0917950X
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed