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Dive into the research topics where Gmaan Al-Zhrani is active.

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Featured researches published by Gmaan Al-Zhrani.


Neurosurgery | 2015

Assessing bimanual performance in brain tumor resection with NeuroTouch, a virtual reality simulator.

Fahad E. Alotaibi; Gmaan Al-Zhrani; Muhammad A.S. Mullah; Abdulrahman J. Sabbagh; Hamed Azarnoush; Alexander Winkler-Schwartz; Rolando F. Del Maestro

BACKGROUND: Validated procedures to objectively measure neurosurgical bimanual psychomotor skills are unavailable. The NeuroTouch simulator provides metrics to determine bimanual performance, but validation is essential before implementation of this platform into neurosurgical training, assessment, and curriculum development. OBJECTIVE: To develop, evaluate, and validate neurosurgical bimanual performance metrics for resection of simulated brain tumors with NeuroTouch. METHODS: Bimanual resection of 8 simulated brain tumors with differing color, stiffness, and border complexity was evaluated. Metrics assessed included blood loss, tumor percentage resected, total simulated normal brain volume removed, total tip path lengths, maximum and sum of forces used by instruments, efficiency index, ultrasonic aspirator path length index, coordination index, and ultrasonic aspirator bimanual forces ratio. Six neurosurgeons and 12 residents (6 senior and 6 junior) were evaluated. RESULTS: Increasing tumor complexity impaired resident bimanual performance significantly more than neurosurgeons. Operating on black vs glioma-colored tumors resulted in significantly higher blood loss and lower tumor percentage, whereas altering tactile cues from hard to soft decreased resident tumor resection. Regardless of tumor complexity, significant differences were found between neurosurgeons, senior residents, and junior residents in efficiency index and ultrasonic aspirator path length index. Ultrasonic aspirator bimanual force ratio outlined significant differences between senior and junior residents, whereas coordination index demonstrated significant differences between junior residents and neurosurgeons. CONCLUSION: The NeuroTouch platform incorporating the simulated scenarios and metrics used differentiates novice from expert neurosurgical performance, demonstrating NeuroTouch face, content, and construct validity and the possibility of developing brain tumor resection proficiency performance benchmarks.


Surgical Innovation | 2015

Neurosurgical Assessment of Metrics Including Judgment and Dexterity Using the Virtual Reality Simulator NeuroTouch (NAJD Metrics)

Fahad E. Alotaibi; Gmaan Al-Zhrani; Abulrahman J. Sabbagh; Hamed Azarnoush; Alexander Winkler-Schwartz; Rolando F. Del Maestro

Advances in computer-based technology has created a significant opportunity for implementing new training paradigms in neurosurgery focused on improving skill acquisition, enhancing procedural outcome, and surgical skills assessment. NeuroTouch is a computer-based virtual reality system that can generate output data known as metrics from operator performance during simulated brain tumor resection. These measures of quantitative assessment are used to track and compare psychomotor performance during simulated operative procedures. Data output from the NeuroTouch system is recorded in a comma-separated values file. Data mining from this file and subsequent metrics development requires the use of sophisticated software and engineering expertise. In this article, we introduce a system to extract a series of new metrics using the same data file using Excel software. Based on the data contained in the NeuroTouch comma-separated values file, 13 novel NeuroTouch metrics were developed and classified. Tier 1 metrics include blood loss, tumor percentage resected, and total simulated normal brain volume removed. Tier 2 metrics include total instrument tip path length, maximum force applied, sum of forces utilized, and average forces utilized by the simulated ultrasonic aspirator and suction instrument along with pedal activation frequency of the ultrasonic aspirator. Advanced tier 2 metrics include instrument tips average separation distance, efficiency index, ultrasonic aspirator path length index, coordination index, and ultrasonic aspirator bimanual forces ratio. This system of data extraction provides researchers expedited access for analyzing the data files available for NeuroTouch platform to assess the multiple psychomotor and cognitive neurosurgical skills involved in complex surgical procedures.


Journal of Surgical Education | 2018

Is Virtual Reality Surgical Performance Influenced by Force Feedback Device Utilized

Abdulgadir Bugdadi; Robin Sawaya; Khalid Bajunaid; Duaa Olwi; Alexander Winkler-Schwartz; Nicole Ledwos; Ibrahim Marwa; Ghusn Alsideiri; Abdulrahman J. Sabbagh; Fahad E. Alotaibi; Gmaan Al-Zhrani; Rolando F. Del Maestro

OBJECTIVE The study objectives were to assess if surgical performance and subjective assessment of a virtual reality simulator platform was influenced by changing force feedback devices. DESIGN Participants used the NeuroVR (formerly NeuroTouch) simulator to perform 5 practice scenarios and a realistic scenario involving subpial resection of a virtual reality brain tumor with simulated bleeding. The influence of force feedback was assessed by utilizing the Omni and Entact haptic systems. Tier 1, tier 2, and tier 2 advanced metrics were used to compare results. Operator subjective assessment of the haptic systems tested utilized seven Likert criteria (score 1 to 5). SETTING The study is carried out at the McGill Neurosurgical Simulation Research and Training Centre, Montreal Neurological Institute and Hospital, Montreal, Canada. PARTICIPANTS Six expert operators in the utilization of the NeuroVR simulator platform. RESULTS No significant differences in surgical performance were found between the two haptic devices. Participants significantly preferred the Entact system on all 7 Likert criteria of subjective assessment. CONCLUSIONS Our results show no statistical differences in virtual reality surgical performance utilizing the two bimanual haptic devices tested. Subjective assessments demonstrated that participants preferred the Entact system. Our results suggest that to maximize realism of the training experience educators employing virtual reality simulators may find it useful to assess expert opinion before choosing a force feedback device.


computer assisted radiology and surgery | 2015

Neurosurgical virtual reality simulation metrics to assess psychomotor skills during brain tumor resection

Hamed Azarnoush; Gmaan Al-Zhrani; Alexander Winkler-Schwartz; Fahad E. Alotaibi; Nicholas Gélinas-Phaneuf; Valérie Pazos; Nusrat Choudhury; Jawad Fares; Robert DiRaddo; Rolando F. Del Maestro


Journal of Surgical Education | 2015

Proficiency Performance Benchmarks for Removal of Simulated Brain Tumors Using a Virtual Reality Simulator NeuroTouch

Gmaan Al-Zhrani; Fahad E. Alotaibi; Hamed Azarnoush; Alexander Winkler-Schwartz; A Sabbagh; Khalid Bajunaid; Susanne P. Lajoie; Rolando F. Del Maestro


Journal of Neurosurgery | 2017

Impact of acute stress on psychomotor bimanual performance during a simulated tumor resection task.

Khalid Bajunaid; Muhammad A.S. Mullah; Alexander Winkler-Schwartz; Fahad E. Alotaibi; Jawad Fares; M Baggiani; Hamed Azarnoush; Sommer Christie; Gmaan Al-Zhrani; Ibrahim Marwa; Abdulrahman J. Sabbagh; Penny Werthner; Rolando F. Del Maestro


Journal of Surgical Education | 2017

Automaticity of Force Application During Simulated Brain Tumor Resection: Testing the Fitts and Posner Model

Abdulgadir Bugdadi; Robin Sawaya; Duaa Olwi; Gmaan Al-Zhrani; Hamed Azarnoush; Abdulrahman J. Sabbagh; Ghusn Alsideiri; Khalid Bajunaid; Fahad E. Alotaibi; Alexander Winkler-Schwartz; Rolando F. Del Maestro


Operative Neurosurgery | 2018

Virtual Reality Tumor Resection: The Force Pyramid Approach

Robin Sawaya; Abdulgadir Bugdadi; Hamed Azarnoush; Alexander Winkler-Schwartz; Fahad E. Alotaibi; Khalid Bajunaid; Gmaan Al-Zhrani; Ghusn Alsideiri; Abdulrahman J. Sabbagh; Rolando F. Del Maestro


Archive | 2014

A Validation Study of NeuroTouch in Neurosurgical Training

Gmaan Al-Zhrani; Susanne P. Lajoie; Rolando F. Del Maestro


Canadian Journal of Neurological Sciences | 2015

Utilizing NeuroTouch, a virtual reality simulator, to assess and monitor bimanual performance during brain tumor resection

Fahad E. Alotaibi; R. F. Del Maestro; Gmaan Al-Zhrani; Muhammad A.S. Mullah; A Sabbagh; Hamed Azarnoush; Alexander Winkler-Schwartz

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Fahad E. Alotaibi

Montreal Neurological Institute and Hospital

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Hamed Azarnoush

Montreal Neurological Institute and Hospital

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Abdulrahman J. Sabbagh

King Saud bin Abdulaziz University for Health Sciences

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