Robot-assisted placement of depth electrodes along the long Axis of the amygdalohippocampal complex

Robotic hydrocephalus surgery: A systematic review of the effectiveness in neurosurgical interventions

BACKGROUND

Hydrocephalus is an abnormal buildup of cerebrospinal fluid (CSF) deep within the brain, resulting in clinical symptoms, including disorientation, vision disturbances, headaches, cognitive and developmental impairment. Traditional non-navigated surgical treatment, with ventriculoperitoneal (VP) shunt and endoscopic third ventriculostomy (ETV), may lead to complications such as shunt obstruction and inaccurate catheter placement. Robotics-assisted (RA) surgery has potential to improve precision of procedures. The objective of this systematic review is to assess the clinical effectiveness, complications, and benefits of RA surgical interventions in the case of hydrocephalus.

METHODS

PRISMA-guided literature search was done in databases including PubMed, Web of Science, Cochrane Reviews, Scopus, and Embase. Inclusion criteria encompassed English language, original, peer-reviewed journal articles in robotic-assisted surgical interventions in hydrocephalus. Patient demographics, robotic systems used, and results were extracted.

RESULTS

In total, 12 of the articles discussed robotic-assisted interventions for hydrocephalus. The robotic systems used included ROSA, NaoTrac, Remebot, and more. The findings established that the robotic systems are accurate. Almost all the studies showed successful outcomes with minimum robot-related complications like minor bleeding or conversion to manual surgery.

CONCLUSIONS

The evidence supporting the use of robot-assisted surgery for hydrocephalus management remains very limited in the literature. There is currently insufficient evidence to suggest that it offers any significant additional benefits in terms of patient outcomes, safety, or cost-effectiveness compared to conventional neurosurgical methods. Moreover, given the high maintenance costs of robotic workstations and prolonged surgery times, well-designed prospective controlled trials are needed to evaluate robotic effectiveness, compared to navigation-based techniques.

Pilot study of a new type of machine vision-assisted stereotactic neurosurgery for EVD placement

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.

Robotic Stereotaxy in Cranial Neurosurgery: A Qualitative Systematic Review

BACKGROUND

Modern-day stereotactic techniques have evolved to tackle the neurosurgical challenge of accurately and reproducibly accessing specific brain targets. Neurosurgical advances have been made in synergy with sophisticated technological developments and engineering innovations such as automated robotic platforms. Robotic systems offer a unique combination of dexterity, durability, indefatigability, and precision.

OBJECTIVE

To perform a systematic review of robotic integration for cranial stereotactic guidance in neurosurgery. Specifically, we comprehensively analyze the strengths and weaknesses of a spectrum of robotic technologies, past and present, including details pertaining to each system's kinematic specifications and targeting accuracy profiles.

METHODS

Eligible articles on human clinical applications of cranial robotic-guided stereotactic systems between 1985 and 2017 were extracted from several electronic databases, with a focus on stereotactic biopsy procedures, stereoelectroencephalography, and deep brain stimulation electrode insertion.

RESULTS

Cranial robotic stereotactic systems feature serial or parallel architectures with 4 to 7 degrees of freedom, and frame-based or frameless registration. Indications for robotic assistance are diversifying, and include stereotactic biopsy, deep brain stimulation and stereoelectroencephalography electrode placement, ventriculostomy, and ablation procedures. Complication rates are low, and mainly consist of hemorrhage. Newer systems benefit from increasing targeting accuracy, intraoperative imaging ability, improved safety profiles, and reduced operating times.

CONCLUSION

We highlight emerging future directions pertaining to the integration of robotic technologies into future neurosurgical procedures. Notably, a trend toward miniaturization, cost-effectiveness, frameless registration, and increasing safety and accuracy characterize successful stereotactic robotic technologies.