Tremor Assessment in Robot‐Assisted Microlaryngeal Surgery Using Computer Vision‐Based Tool Tracking

Abstract

AbstractObjectiveUse microscopic video‐based tracking of laryngeal surgical instruments to investigate the effect of robot assistance on instrument tremor.Study DesignExperimental trial.SettingTertiary Academic Medical Center.MethodsIn this randomized cross‐over trial, 36 videos were recorded from 6 surgeons performing left and right cordectomies on cadaveric pig larynges. These recordings captured 3 distinct conditions: without robotic assistance, with robot‐assisted scissors, and with robot‐assisted graspers. To assess tool tremor, we employed computer vision‐based algorithms for tracking surgical tools. Absolute tremor bandpower and normalized path length were utilized as quantitative measures. Wilcoxon rank sum exact tests were employed for statistical analyses and comparisons between trials. Additionally, surveys were administered to assess the perceived ease of use of the robotic system.ResultsAbsolute tremor bandpower showed a significant decrease when using robot‐assisted instruments compared to freehand instruments (P = .012). Normalized path length significantly decreased with robot‐assisted compared to freehand trials (P = .001). For the scissors, robot‐assisted trials resulted in a significant decrease in absolute tremor bandpower (P = .002) and normalized path length (P < .001). For the graspers, there was no significant difference in absolute tremor bandpower (P = .4), but there was a significantly lower normalized path length in the robot‐assisted trials (P = .03).ConclusionThis study demonstrated that computer‐vision‐based approaches can be used to assess tool motion in simulated microlaryngeal procedures. The results suggest that robot assistance is capable of reducing instrument tremor.