Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms

• Published in: The international journal of medical robotics + computer assisted surgery Vol. 16; no. 2; pp. e2060 - n/a
• Main Authors: Villanueva‐Naquid, Iván, Soubervielle‐Montalvo, Carlos, Aguilar‐Ponce, Ruth M., Tovar‐Arriaga, Saúl, Cuevas‐Tello, Juan C., Puente‐Montejano, Cesar A., Mejia‐Carlos, Marcela, Torres‐Corzo, Jaime G.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.04.2020
• Subjects: Algorithms; Blood vessels; Brain - diagnostic imaging; Genetic algorithms; Humans; Imaging, Three-Dimensional; keyhole neurosurgery; Magnetic Resonance Imaging; Neurosurgery; Neurosurgical Procedures - methods; Pattern Recognition, Automated; Postoperative Complications; Risk assessment; Risk Assessment - methods; robotic surgery; Robotic Surgical Procedures - methods; Searching; Software; Surgery, Computer-Assisted - methods; Trajectory analysis; Trajectory planning; keyhole neurosurgery; risk assessment; genetic algorithms; trajectory planning; robotic surgery
• ISSN: 1478-5951; 1478-596X; 1478-596X
• DOI: 10.1002/rcs.2060

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% and have greater distance from the voxels within the blood vessels in 4.7%. The use of genetic algorithm (GA) speeds up the search for the safest trajectory, decreasing in 99.9% the time required for an exhaustive search.