Prof. Nobuhito SAITOJapan
Department of Neurosurgery, The University of Tokyo Hospital
| 2023 to present | President of the Japan Neurosurgical Society |
| 2021 to present | Executive Vice-President, the University of Tokyo |
| 2006 to present | Professor and Chairman, Department of Neurosurgery, The University of Tokyo Hospital |
| 2006 - present | Professor & Chairman, Department of Neurosurgery, The University of Tokyo Hospital |
| 2002 - 2006 | Professor & Chairman, Department of Neurosurgery, Gunma University |
| 1989 - 1991 | Visiting Fellow, Stroke Branch, NINDS, NIH, USA |
cerebrovascular disease, brain tumor surgery, skull base surgery, surgical simulation
Professor Saito is currently the President of the Japan Neurosurgical Society. He is also the executive vice president of the University of Tokyo and a professor and chairman of the Department of Neurosurgery at the University of Tokyo Hospital. Clinically, he specializes in surgeries for cerebrovascular disease and brain tumors. Among them, he has much experience in surgery for brainstem lesions, such as cavernous malformations and hemangioblastomas. He has published more than 500 peer-reviewed papers. His research field is experimental cerebral ischemia and genetic analysis of cerebrovascular diseases. Currently, he is also working on the development of surgical simulation methods using artificial intelligence to increase the safety of surgery such as brainstem lesions.
Surgical treatment of hemangioblastoma
1110 08:35-08:45
AASNS / AANS Joint Session "Spetzler Symposium"/305
Hemangioblastomas are hemorrhagic tumors with feeders and drainers, and controlling bleeding is important for their removal. In particular, it is difficult to remove large solid tumors in the deep brain or lesions in the medulla oblongata. We have recently developed a three-dimensional simulation software called GRID, which is useful for planning surgical strategies for hemangioblastomas. We will present a case of surgery for a hemangioblastoma using GRID.
Surgical simulation using 3D fusion images created by AI-based software
1109 08:40-08:55
AI & New Technology/304B
Owing to the development of various neuro-imaging modalities, it is now feasible to make advanced surgical strategies for difficult cases. To visualize all information in an image, we have recently developed a new method to create a 3D-fusion image from various neuro-imaging modalities.
Originally, the fusion image was created using the visualization software, AVIZO. But now, we developed a 3D image creation software called GRID, and obtained regulatory approval. The fusion image has enabled us to make surgical strategies more precise. With fusion images, it has become possible to simulate approaches to deep-seated lesions. Identification of cranial nerves, feeders, and drainers of vascular-rich tumors has also become much easier. Surgical simulation with 3D-fusion images is useful.