Image guidance for all--TilePro display of 3-dimensionally reconstructed images in robotic partial nephrectomy
Archie Hughes-Hallett, Philip Pratt, Erik Mayer, Shirley Martin, Ara Darzi, Justin Vale, Archie Hughes-Hallett, Philip Pratt, Erik Mayer, Shirley Martin, Ara Darzi, Justin Vale
Abstract
Objective: To determine the feasibility of a novel low-barrier-to-entry image guidance system.
Methods: Initially a randomized crossover study was performed to establish the interface (iPad or 3-dimensional mouse) that minimized both the amount of time required to perform a manual image registration and the error of that registration. A subsequent clinical feasibility study was undertaken on 5 patients undergoing robot-assisted partial nephrectomy. Randomized crossover study primary outcomes were time to task completion, NASA-Task Load Index score, and alignment error (translational and rotational). The Mann-Whitney U test was used to compare groups. Surgeon feedback was sought when assessing the system in a clinical setting.
Results: In the initial randomized crossover study, the iPad-based system was able to achieve adequate alignment accuracy (Frobenius norm of 0.3; total error of 20.8 mm) in significantly less time (33 seconds; P<.01) than the 3-dimensional mouse interface. The platform received good feedback from the operating surgeon in all instances with the surgeon commenting particularly on the improved appreciation of hilar vascular anatomy.
Conclusion: In this study, we have demonstrated the feasibility of a "low-barrier-to-entry" image guidance system in a clinical setting. The system was able to achieve swift and sufficiently accurate alignment, with little impact on the surgical workflow.
Copyright © 2014 Elsevier Inc. All rights reserved.
Source: PubMed