MASAMUNE Ken    Department   Research Institutes and Facilities, Research Institutes and Facilities    Position   Professor
Language	Japanese
Title	Future Prospective of Information-guided Neurosurgery
Conference	58th Annual Meeting of the Japan Society of Clinical Oncology
Conference Type	Nationwide Conferences
Presentation Type	Speech
Lecture Type	Panelist at Symposium/Workshop (Appointed)
Date	2020/10/23
Society abstract	第58回日本癌治療学会学術集会 プログラム・抄録集オンライン抄録アプリ「JSCO meeting」
Summary	In recent years, with developments in intraoperative diagnosis and intraoperative support devices, decisions during surgery that were formerly made based on the experience and intuition of the surgeon are now starting to be made based on visualized data and the information that arises from it. We give the name information-guided surgery to surgery where decisions are made using 3 types of intraoperative information for glioma resection. These are anatomical information from intraoperative MRI and updated navigation, functional information such as functional mapping and motor-evoked potential, and histological information such as rapid histological diagnosis and fluorescence diagnosis. We have performed 2023 neurosurgery operations including 1700+ glioma resections with a mean resection rate of 90% from 2000 and 2019. Five-year survival rates of grade-II patients were 91%, those of grade-III patients were 76%, and those of grade-IV patients were 19%, and postsurgical death of glioma patients by one month was only one case (0.05%). Simultaneously we have been developing an integrated operation room called Smart Cyber Operation Theater(SCOT) to improve safety and effectiveness of treatment by networking all devices from different vendors, generating various kinds of essential surgical information of temporal synchronization. We have performed sugeries for more than 100 cases of brain tumors, bone tumors, and liver cancers in three types of SCOTs. In the SCOT, a strategy desk supports surgeons' decision making shows many kinds of integrated biomedical information from 20 devices in real time. In the future, an AI based on real-time patients' data and database of previously treated patients would be a potential to be of great help for choice of the optimal treatment strategy during resection of gliomas for optimization of surgical, functional, and oncological outcome.