Intraoperative Fast Adaptive Focus Tracking Robotic OCT Enables Real‐Time Tumor Grading and Large‐Area Microvascular Imaging in Human Spinal Cord Surgery
Year: 2025
Type: article
Abstract: Current surgical procedures for spinal cord tumors lack in vivo high‐resolution multifunctional imaging systems, hindering precise tumor resection. This study introduces the fast adaptive focus tracking robotic optical coherence tomography (FACT‐ROCT) system, which provides real‐time, artifact‐free imaging during surgery, addressing motion artifacts and resolution degradation. Imaging occurs in 22 patients, including 13 with gliomas (WHO grade I‐IV). This represents the first in situ OCT imaging of human spinal cord tumors, enabling the differentiation of tumor types in real‐time. The standard deviation of the attenuation coefficient serves as a physical marker, achieving 90.2% ± 2.7% accuracy in distinguishing high‐ from low‐grade gliomas intraoperatively at a threshold of 0.75 ± 0.01 mm −1 . FACT‐ROCT also enables microvascular imaging, covering areas of 70 mm × 13 mm × 10 mm within 2 min and revealing greater vascular tortuosity in higher‐grade tumors. This extensive imaging capability provides critical information that guides surgical strategies, enhancing surgical outcomes. Overall, FACT‐ROCT represents a significant advancement in intraoperative imaging, offering high‐resolution, high‐speed, and comprehensive insights into spinal cord tumor structure and vasculature.
Source: Advanced Science
Authors: Bin He, Yuzhe Ying, Yejiong Shi, Zhe Meng, Zichen Yin, Zhengyu Chen, Zhangwei Hu, Ruizhi Xue, Linkai Jing, Yang Lu, Zhenxing Sun, Weitao Man, Youtu Wu, Dan Lei, Ning Zhang, Guihuai Wang, Ping Xue
Institutions: National University of Singapore, State Key Laboratory of Low-Dimensional Quantum Physics, Frontier Science Center for Quantum Information of the Ministry of Education of China, Tsinghua University, Beijing Tsinghua Chang Gung Hospital, Ministry of Public Security of the People's Republic of China
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,730
OpenAlex ID: W4409801766
