Assessing Bimanual Performance in Brain Tumor Resection With NeuroTouch, a Virtual Reality Simulator

Alotaibi, Fahad E.; Alzhrani, Gmaan; Mullah, Muhammad Abu Shadeque; Sabbagh, Abdulrahman J.; Azarnoush, Hamed; Winkler-Schwartz, Alexander; Maestro, Rolando F. Del

doi:10.1227/neu.0000000000000631

Cited by 47 publications

(70 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The objective was to determine if simulation before the surgery resulted in improved bimanual performance during aneurysm surgery, which has been shown to occur in neurosurgical virtual simulation using NeuroTouch. 4 The human placenta offers simulation of many microsurgical tasks necessary to perform aneurysm surgery. The residents who trained in the human placenta model performed better during their first aneurysm surgery than residents trained in a cadaveric model or those who had just watched surgical videos without hands-on experience.…”

Section: Discussionmentioning

confidence: 99%

Learning brain aneurysm microsurgical skills in a human placenta model: predictive validity

Oliveira

Ferrarez²,

Ramos³

et al. 2018

Journal of Neurosurgery

View full text Add to dashboard Cite

OBJECTIVE Surgery for brain aneurysms is technically demanding. In recent years, the process to learn the technical skills necessary for these challenging procedures has been affected by a decrease in the number of surgical cases available and progressive restrictions on resident training hours. To overcome these limitations, surgical simulators such as cadaver heads and human placenta models have been developed. However, the effectiveness of these models in improving technical skills is unknown. This study assessed concurrent and predictive validity of brain aneurysm surgery simulation in a human placenta model compared with a "live" human brain cadaveric model. METHODS Two human cadaver heads and 30 human placentas were used. Twelve neurosurgeons participated in the concurrent validity part of this study, each operating on 1 human cadaver head aneurysm model and 1 human placenta model. Simulators were evaluated regarding their ability to simulate different surgical steps encountered during real surgery. The time to complete the entire aneurysm task in each simulator was analyzed. The predictive validity component of the study involved 9 neurosurgical residents divided into 3 groups to perform simulation exercises, each lasting 6 weeks. The training for the 3 groups consisted of educational video only (3 residents), human cadaver only (3 residents), and human placenta only (3 residents). All residents had equivalent microsurgical experience with superficial brain tumor surgery. After completing their practice training, residents in each of the 3 simulation groups performed surgery for an unruptured middle cerebral artery (MCA) aneurysm, and their performance was assessed by an experienced vascular neurosurgeon who watched the operative videos. RESULTS All human cadaver heads and human placentas were suitable to simulate brain aneurysm surgery. In the concurrent validity portion of the experiment, the placenta model required a longer time (p < 0.001) than cadavers to complete the task. The placenta model was considered more effective than the cadaver model in simulating sylvian fissure splitting, bipolar coagulation of oozing microvessels, and aneurysm neck and dome dissection. Both models were equally effective in simulating neck aneurysm clipping, while the cadaver model was considered superior for simulation of intraoperative rupture and for reproduction of real anatomy during simulation. In the predictive validity portion of the experiment, residents were evaluated for 4 tasks: sylvian fissure dissection, microvessel bipolar coagulation, aneurysm dissection, and aneurysm clipping. Residents trained in the human placenta simulator consistently had the highest overall performance scores when compared with those who had trained in the cadaver model and those who had simply watched operative videos (p < 0.001). CONCLUSIONS The human placenta biological simulator provides excellent simulation for some critical tasks of aneurysm surgery such as splitting of the sylvian fissure, dissection of the aneurysm neck and d...

show abstract

Section: Discussionmentioning

confidence: 99%

Learning brain aneurysm microsurgical skills in a human placenta model: predictive validity

Oliveira

Ferrarez²,

Ramos³

et al. 2018

Journal of Neurosurgery

View full text Add to dashboard Cite

show abstract

“…One study compared the performance of residents and attending neurosurgeons and found significant differences when comparing efficiency index, extent of tumor resection and blood loss, with attending neurosurgeons performing better than residents 93. If these significant findings can be converted into benchmarks or milestones and further validated to differentiate students, junior residents, senior residents and attending neurosurgeons from each other, then there is a great deal of potential for educational applications.…”

Section: Simulation In Neurosurgerymentioning

confidence: 99%

Simulation training in neurosurgery: advances in education and practice

Konakondla

Fong

Schirmer

2017

AMEP

View full text Add to dashboard Cite

The current simulation technology used for neurosurgical training leaves much to be desired. Significant efforts are thoroughly exhausted in hopes of developing simulations that translate to give learners the “real-life” feel. Though a respectable goal, this may not be necessary as the application for simulation in neurosurgical training may be most useful in early learners. The ultimate uniformly agreeable endpoint of improved outcome and patient safety drives these investments. We explore the development, availability, educational taskforces, cost burdens and the simulation advancements in neurosurgical training. The technologies can be directed at achieving early resident milestones placed by the Accreditation Council for Graduate Medical Education. We discuss various aspects of neurosurgery disciplines with specific technologic advances of simulation software. An overview of the scholarly landscape of the recent publications in the realm of medical simulation and virtual reality pertaining to neurologic surgery is provided. We analyze concurrent concept overlap between PubMed headings and provide a graphical overview of the associations between these terms.

show abstract

“…Unsurprisingly, VR has been used for the visualization of biomolecular [9] and metabolic [10] networks, microscopy data [11], protein-ligand complexes [12], biological electron-transfer dynamics [13], whole genome synteny [14], and a whole cell [15]. Moreover, VR has numerous applications in medical education [16,17] and research [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

BioVR: a platform for virtual reality assisted biological data integration and visualization

Zhang

Paciorkowski

Craig

et al. 2018

Preprint

View full text Add to dashboard Cite

Background:The effective visualization and presentation of biological data is of critical importance to research scientists. The increasing rate at which experiments generate data has exacerbated the visualization problem. While biological datasets continue to increase in size and complexity, the shift to adopt new user interface (UI) paradigms has historically lagged.Consequently, a major bottleneck for analysis of next-generation sequencing data is the continued use of the UIs primarily inspired from single-type and small-scale data in 1990's. Results:We have developed BioVR, an easy-to-use interactive, virtual reality (VR)-assisted platform for visualizing DNA/RNA sequences and protein structures using Unity3D and the C# programming language. It utilizes the cutting-edge Oculus Rift, and Leap Motion hand detection, resulting in intuitive navigation and exploration of various types of biological data. Using Gria2 and its associated gene product as an example, we present this proof-of-concept software to integrate protein sequence and structure information. For any residue of interest in the Gria2 sequence, it can be quickly visualized in its protein structure within VR. Conclusions:Using innovative 3D techniques, we provide a VR-based platform for visualization of DNA/RNA sequences and protein structures in aggregate, which can be extended to view omics data.

show abstract

Assessing Bimanual Performance in Brain Tumor Resection With NeuroTouch, a Virtual Reality Simulator

Cited by 47 publications

References 19 publications

Learning brain aneurysm microsurgical skills in a human placenta model: predictive validity

Learning brain aneurysm microsurgical skills in a human placenta model: predictive validity

Simulation training in neurosurgery: advances in education and practice

BioVR: a platform for virtual reality assisted biological data integration and visualization

Contact Info

Product

Resources

About