First-in-human spinal cord tumor imaging with fast adaptive focus tracking robotic-OCT
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

TL;DR
This paper presents the FACT-ROCT system, a real-time, high-resolution imaging tool for spinal cord tumors that improves intraoperative decision-making by enabling detailed structural and vascular imaging and tumor grading.
Contribution
The study introduces the first in situ OCT imaging of human spinal cord tumors using a novel adaptive focus tracking robotic system, enhancing intraoperative imaging capabilities.
Findings
Achieved real-time, artifact-free imaging of spinal tumors during surgery.
Demonstrated over 90% accuracy in intraoperative tumor grading.
Enabled extensive microvascular imaging within 2 minutes.
Abstract
Current surgical procedures for spinal cord tumors lack in vivo high-resolution, high-speed multifunctional imaging systems, posing challenges for precise tumor resection and intraoperative decision-making. This study introduces the Fast Adaptive Focus Tracking Robotic Optical Coherence Tomography (FACT-ROCT) system,designed to overcome these obstacles by providing real-time, artifact-free multifunctional imaging of spinal cord tumors during surgery. By integrating cross-scanning, adaptive focus tracking and robotics, the system addresses motion artifacts and resolution degradation from tissue movement, achieving wide-area, high-resolution imaging. We conducted intraoperative imaging on 21 patients, including 13 with spinal gliomas and 8 with other tumors. This study marks the first demonstration of OCT in situ imaging of human spinal cord tumors, providing micrometer-scale in vivo…
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Taxonomy
TopicsOptical Coherence Tomography Applications · Retinal and Macular Surgery · Soft Robotics and Applications
