10134-ST-6 Next-Generation Glioma Surgery Integrating Surgical Craftsmanship and Advanced Support Technologies

Abstract Background Maximal safe resection is the principal goal in glioma surgery, requiring refined surgical skills and accurate intraoperative decision-making. In addition to standard tumor resection techniques, we incorporated microsurgical procedures from other domains such as cerebrovascular surgery -including dissection, vessel clipping, and microanastomosis- allowing for more precise and safer operations. Meanwhile, advances in surgical support technologies, including augmented reality (AR), high-resolution exoscopes, and AI-assisted imaging, have greatly improved intraoperative visualization and decision-making. This study presents clinical applications of ‘next-generation glioma surgery’ through the integration of diverse microsurgical techniques and advanced technologies, and discusses future directions and interdisciplinary collaboration. Methods A total of 344 glioma resection cases performed since April 2014 at our institution were analyzed. In all cases, vessels and white matter tracts were visualized, and surgical planning was conducted using 3D fusion imaging. In the latter series, high-definition exoscopes, AR, and AI-assisted image analysis were used to visualize perforating arteries and high-resolution tractography. Surgical techniques combined standard tumor resection using suction and CUSA with techniques adapted from other neurosurgical fields. All operative videos were reviewed to evaluate the impact of each technique based on anatomical location and operative scene. Results Preoperative simulations enabled accurate feeder control, reducing intraoperative bleeding and improving visualization. High-fidelity imaging and meticulous techniques allowed preservation of passing arteries, perforators, and white matter tracts. In cases of vascular injury, microvascular anastomosis was performed. AR and image enhancement improved the accuracy of 5-ALA-guided resections, contributing to more complete tumor removal. These innovations led to higher resection rates and fewer complications. Conclusion The integration of advanced support technologies and refined surgical techniques, including those from other specialties, has driven progress in glioma surgery. Along with continued technological innovation, the transmission and further development of surgical techniques remain important challenges.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology Advances
Published
2025-12-01
DOI
https://doi.org/10.1093/noajnl/vdaf236.109
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

10134-ST-6 Next-Generation Glioma Surgery Integrating Surgical Craftsmanship and Advanced Support Technologies

Nobuyoshi Sasaki, Kuniaki Saito, K Kuribayashi, Yoji Tanaka et al.
Neuro-Oncology Advances
Surgical Simulation and Training
article

10134-ST-6 Next-Generation Glioma Surgery Integrating Surgical Craftsmanship and Advanced Support Technologies

Nobuyoshi Sasaki, Kuniaki Saito, K Kuribayashi, Yoji Tanaka, Keiichi Kobayashi, Motoo Nagane, Ryota Sato, Shoichi Takahashi
article en

Abstract

Abstract Background Maximal safe resection is the principal goal in glioma surgery, requiring refined surgical skills and accurate intraoperative decision-making. In addition to standard tumor resection techniques, we incorporated microsurgical procedures from other domains such as cerebrovascular surgery -including dissection, vessel clipping, and microanastomosis- allowing for more precise and safer operations. Meanwhile, advances in surgical support technologies, including augmented reality (AR), high-resolution exoscopes, and AI-assisted imaging, have greatly improved intraoperative visualization and decision-making. This study presents clinical applications of ‘next-generation glioma surgery’ through the integration of diverse microsurgical techniques and advanced technologies, and discusses future directions and interdisciplinary collaboration. Methods A total of 344 glioma resection cases performed since April 2014 at our institution were analyzed. In all cases, vessels and white matter tracts were visualized, and surgical planning was conducted using 3D fusion imaging. In the latter series, high-definition exoscopes, AR, and AI-assisted image analysis were used to visualize perforating arteries and high-resolution tractography. Surgical techniques combined standard tumor resection using suction and CUSA with techniques adapted from other neurosurgical fields. All operative videos were reviewed to evaluate the impact of each technique based on anatomical location and operative scene. Results Preoperative simulations enabled accurate feeder control, reducing intraoperative bleeding and improving visualization. High-fidelity imaging and meticulous techniques allowed preservation of passing arteries, perforators, and white matter tracts. In cases of vascular injury, microvascular anastomosis was performed. AR and image enhancement improved the accuracy of 5-ALA-guided resections, contributing to more complete tumor removal. These innovations led to higher resection rates and fewer complications. Conclusion The integration of advanced support technologies and refined surgical techniques, including those from other specialties, has driven progress in glioma surgery. Along with continued technological innovation, the transmission and further development of surgical techniques remain important challenges.

Neuro-Oncology AdvancesVol. 7(Supplement_6)
Kyorin University (JP)
Openalex Percentile: Top 40%
Surgical Simulation and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.