Tenured Professor, Deputy Director of Surgical Education, Clinical Medicine School of Tsinghua University  

Chief Physician, Director of Department of Surgery, Chairman of Department of Neurosurgery, Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital.

ACADEMIC POSITIONS:

President-elect, Neuro-Oncology Committee of the Chinese Anti-Cancer Association; Vice Chairman, Glioma Professional Committee, Chinese Medical Doctor Association; Vice Chairman, Neuro-Oncology Committee, European and American Alumni Association Physicians Association; The fourth Head of the Chinese Glioma Collaborative Group; Chairman, Neuro-Oncology Committee of the Beijing Oncology Society.

AWARDS:

2016 Wang Zhongcheng Academic Achievement Award for Chinese Neurosurgeons, 2020 Zhao Yicheng Outstanding Neurosurgeon Award, "Top Ten Medical Innovation Experts" at the 7th Annual Meeting of Medical Scientists in 2022, "People's Famous Doctors ·Outstanding Achievements" in 2022

ACADEMIC ACHIEVIES:

Undertook more than 20 Scientific Research Grants including National key R&D projects, National Natural Science Foundation, Ministry of Education and Tianjin key projects. Published more than 250 scientific papers, Wrote 50 chapters in 40 professional books. He is one of the main developers of more than ten guidelines for the diagnosis and treatment of neurological tumors/brain gliomas, including the Chinese Glioma Diagnosis and Treatment Guidelines issued by National Health Commission.

Topic title: Digital and intelligence neurosurgery promotes the formation of new paradigms in preoperative planning, virtual surgery, and intraoperative guidance for brain tumors

Abstract:

Throughout the history of medical development, as an emerging surgical discipline, the progress of neurosurgical techniques is most driven by innovation. Due to the particularity of the structure and function of brain, there is still a lot of room for improvement in brain tumor surgery in terms of accelerating the growth of surgeons, preoperative planning, virtual surgery, and intraoperative guidance. Based on the existing technology in preoperative planning and intraoperative guidance for brain tumors, and relied on Tsinghua University’s medical-engineering technology as well, we strive to establish a new paradigm integrating digital intelligence technology into preoperative decision-making, surgeons’ training and surgical guidance for brain tumors by the following routes: (1) To complete multi-modal brain imaging, brain function localization and fiber tracing before surgery. The imaging of overall structure of the brain is reconstructed through digital intelligence technology, including the sulcus and gyrus structure of the cortex, the course of vessels, and the fiber tracing around brain tumors in functional areas; (2) To complete preoperative planning after analyzing the cortical and subcortical structures around deep-seated lesions, and their topological path; (3) To apply virtual reality and augmented reality technology in surgical decision-making, preoperative training and virtual surgery to enhance the reality of preoperative planning and the effectiveness of surgical training; (4) To introduce augmented reality technology into the placement of patient surgical position and surgical flap designing; (5) To determine the cortical approach leading to the tumor based on the automatic partitioning and topology of the cortex; (6) Real-time fusion of surgical navigation with B-ultrasound to guide deep-seated tumor resection. Through new digital intelligence technology, the following paradigm has been formed (1) Through virtual reality and augmented reality technology, the topological path structure could be analyzed, and important cortex and subcortical fibers the tumor, surrounding the tumor can be realized before surgery, which could predict the remodeling of neural function also. It is beneficial to maximize the resection of intraparenchymal tumors under the safety; (2) Virtual reality technology and augmented reality technology help increase visualization and three-dimensional presentation to promote young neurosurgeons to understand the relationship between the lesion and the overall brain structure, and the relationship between the lesion and brain function as well as surrounding blood vessels. This is a new way to promote the surgical training; (3) Under the guidance by digital intelligence technology, Optimal patient’s position placement and flap design could by achieved, and the mismatch between the flap incision and the surgical approach could be avoided, which will cause difficulties in surgical resection; (4) The automated partitioning technology and topological structure display of the cerebral cortex can help strengthen the understanding of cortical partitioning and indicate the cortical approach during surgery, and it is also a dependable way to identify the central sulcus besides electrophysiological technology; (5 ) The fusion technology of neuronavigation and intraoperative B-ultrasound can make up for the non-real-time nature of navigation and the defect that B-ultrasound only shows the sound shadow of the lesion, and achieve intraoperative real-time and better structural guidance. We believe that the advance of digital and intelligent technology will definitely continue to help us improve precise neurosurgery in the new era.