Pilot study of a new type of machine vision-assisted stereotactic neurosurgery for EVD placement
Tsung-Lang Chiu, Shinn-Zong Lin, Tanvir Ahmed, Chih-Yang Huang, Chieh-Hsiao Chen
Affiliations expand PMID: 35788905
Background: The usage of machine vision technologies for image-based analysis and inspection is increasing. With the advent of the ability to process high-dimension data instantly, the possibilities of machine vision multiply exponentially. Robots now use this technology to assist in surgery.
Objective: The aim of this study is to explore the efficacy of Surgical Navigation Robot NaoTrac (Brain Navi Biotechnology Co., Ltd.), which utilizes machine vision-inspired technology for patient registration and stereotactic external ventricular drainage (EVD) by the robotic arm.
Methods: Preoperative and postoperative computed tomography (CT) scans were acquired for each case. The surgeons planned the targets and trajectories with the preoperative CT images. The postoperative CT images were utilized in the accuracy measurements.
Results: All 14 cases had cerebrospinal fluid drained through the catheter. The NaoTrac placed the catheter into the frontal horn in one attempt in 13 cases and was able to drain CSF in 12 cases. Not a single case had any bleeding or intraoperative complications. The average time spent on the patient registration was 142.8 s. The mean target deviation was 1.68 mm, and the mean angular deviation was 1.99°, all within the accepted tolerance for minimal tissue damage.
Conclusion: The results of this report demonstrate that machine vision-inspired patient registration is feasible and fast. NaoTrac has demonstrated its accuracy and safety in performing frameless catheter placement in 13 clinical cases. Other stereotactic neurosurgical operations such as stereotactic biopsy, depth electrode placement, deep brain stimulation electrode positioning, and neuroendoscopy may also be benefited from the assistance of NaoTrac.
Keywords: Accuracy; Catheter; External ventricular drainage; Machine vision; Safety; Stereotactic neurosurgery; Surgical navigation robot.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.