Robert A Buckmire1, Yu-Tung Wong2, Allison M Deal3. 1. Department of Otolaryngology-Head & Neck Surgery, University of North Carolina Hospitals, Chapel Hill, North Carolina, U.S.A. 2. Division of Otolaryngology-Head & Neck Surgery, University of California San Diego School of Medicine, San Diego, California, U.S.A. 3. and the Lineberger Comprehensive Cancer Center Biostatistics Core, University of North Carolina Hospitals, Chapel Hill, North Carolina, U.S.A.
Abstract
OBJECTIVES/HYPOTHESIS: To evaluate the performance of human subjects, using a prototype robotic micromanipulator controller in a simulated, microlaryngeal operative setting. STUDY DESIGN: Observational cross-sectional study. METHODS: Twenty-two human subjects with varying degrees of laser experience performed CO2 laser surgical tasks within a simulated microlaryngeal operative setting using an industry standard manual micromanipulator (MMM) and a prototype robotic micromanipulator controller (RMC). Accuracy, repeatability, and ablation consistency measures were obtained for each human subject across both conditions and for the preprogrammed RMC device. RESULTS: Using the standard MMM, surgeons with >10 previous laser cases performed superior to subjects with fewer cases on measures of error percentage and cumulative error (P = .045 and .03, respectively). No significant differences in performance were observed between subjects using the RMC device. In the programmed (P/A) mode, the RMC performed equivalently or superiorly to experienced human subjects on accuracy and repeatability measures, and nearly an order of magnitude better on measures of ablation consistency. The programmed RMC performed significantly better for repetition error when compared to human subjects with <100 previous laser cases (P = .04). CONCLUSIONS: Experienced laser surgeons perform better than novice surgeons on tasks of accuracy and repeatability using the MMM device but roughly equivalently using the novel RMC. Operated in the P/A mode, the RMC performs equivalently or superior to experienced laser surgeons using the industry standard MMM for all measured parameters, and delivers an ablation consistency nearly an order of magnitude better than human laser operators. LEVEL OF EVIDENCE: NA.
OBJECTIVES/HYPOTHESIS: To evaluate the performance of human subjects, using a prototype robotic micromanipulator controller in a simulated, microlaryngeal operative setting. STUDY DESIGN: Observational cross-sectional study. METHODS: Twenty-two human subjects with varying degrees of laser experience performed CO2 laser surgical tasks within a simulated microlaryngeal operative setting using an industry standard manual micromanipulator (MMM) and a prototype robotic micromanipulator controller (RMC). Accuracy, repeatability, and ablation consistency measures were obtained for each human subject across both conditions and for the preprogrammed RMC device. RESULTS: Using the standard MMM, surgeons with >10 previous laser cases performed superior to subjects with fewer cases on measures of error percentage and cumulative error (P = .045 and .03, respectively). No significant differences in performance were observed between subjects using the RMC device. In the programmed (P/A) mode, the RMC performed equivalently or superiorly to experienced human subjects on accuracy and repeatability measures, and nearly an order of magnitude better on measures of ablation consistency. The programmed RMC performed significantly better for repetition error when compared to human subjects with <100 previous laser cases (P = .04). CONCLUSIONS: Experienced laser surgeons perform better than novice surgeons on tasks of accuracy and repeatability using the MMM device but roughly equivalently using the novel RMC. Operated in the P/A mode, the RMC performs equivalently or superior to experienced laser surgeons using the industry standard MMM for all measured parameters, and delivers an ablation consistency nearly an order of magnitude better than human laser operators. LEVEL OF EVIDENCE: NA.
Authors: Nikhil Deshpande; Giorgio Peretti; Francesco Mora; Luca Guastini; Jinoh Lee; Giacinto Barresi; Darwin G Caldwell; Leonardo S Mattos Journal: OTO Open Date: 2018-05-10