abstract

• Background: Preoperative assessment to find the safest trajectory in keyhole neurosurgery can reduce post operative complications. Methods: We introduced a novel preoperative risk assessment semiautomated methodology based on the sum of N maximum risk values using a generic genetic algorithm for the safest trajectory search. Results: A set of candidates trajectories were found for two surgical procedures. The trajectories search is done using a risk map considering the proximity of voxels within risk structures in multiple points and a genetic algorithm to avoid an exhaustive search. The trajectories were validated by a group of neurosurgeons. Conclusions: The trajectories obtained with the proposal method were shorter in 5%25 and have greater distance from the voxels within the blood vessels in 4.7%25. The use of genetic algorithm (GA) speeds up the search for the safest trajectory, decreasing in 99.9%25 the time required for an exhaustive search. © 2019 John Wiley %26 Sons, Ltd.
• Background: Preoperative assessment to find the safest trajectory in keyhole neurosurgery can reduce post operative complications. Methods: We introduced a novel preoperative risk assessment semiautomated methodology based on the sum of N maximum risk values using a generic genetic algorithm for the safest trajectory search. Results: A set of candidates trajectories were found for two surgical procedures. The trajectories search is done using a risk map considering the proximity of voxels within risk structures in multiple points and a genetic algorithm to avoid an exhaustive search. The trajectories were validated by a group of neurosurgeons. Conclusions: The trajectories obtained with the proposal method were shorter in 5%25 and have greater distance from the voxels within the blood vessels in 4.7%25. The use of genetic algorithm (GA) speeds up the search for the safest trajectory, decreasing in 99.9%25 the time required for an exhaustive search. © 2019 John Wiley & Sons, Ltd.

authors

• Aguilar Ponce Ruth Mariela
• Cuevas Tello Juan Carlos
• Mejía Carlos Marcela
• Puente Montejano César Augusto
• Soubervielle Montalvo Carlos
• Torres-Corzo J.
• Tovar-Arriaga S.
• Villanueva-Naquid I.

publication date

• 2020-01-01

funding provided via

• Consejo Nacional de Ciencia y Tecnología, Paraguay, El CONACYT  Grant
• Consejo Nacional de Ciencia y Tecnología, CONACYT: 420956  Grant

published in

• International Journal of Medical Robotics and Computer Assisted Surgery  Journal

keywords

• genetic algorithms; keyhole neurosurgery; risk assessment; robotic surgery; trajectory planning algorithm; article; blood vessel; controlled study; genetic algorithm; human; neurosurgeon; neurosurgery; preoperative evaluation; risk assessment; robot assisted surgery; surgical technique; velocity; algorithm; automated pattern recognition; brain; computer assisted surgery; diagnostic imaging; neurosurgery; nuclear magnetic resonance imaging; postoperative complication; procedures; risk assessment; robot assisted surgery; software; three-dimensional imaging; Algorithms; Brain; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Neurosurgical Procedures; Pattern Recognition, Automated; Postoperative Complications; Risk Assessment; Robotic Surgical Procedures; Software; Surgery, Computer-Assisted

Digital Object Identifier (DOI)

• 10.1002/rcs.2060

PubMed ID

• 31760679

start page

end page

volume

• 16

issue

• 2