Literature DB >> 24464610

Comparison of success rates, learning curves, and inter-subject performance variability of robot-assisted and manual ultrasound-guided nerve block needle guidance in simulation.

J Morse1, N Terrasini2, M Wehbe1, C Philippona1, C Zaouter2, S Cyr3, T M Hemmerling4.   

Abstract

BACKGROUND: This study focuses on a recently developed robotic nerve block system and its impact on learning regional anaesthesia skills. We compared success rates, learning curves, performance times, and inter-subject performance variability of robot-assisted vs manual ultrasound (US)-guided nerve block needle guidance. The hypothesis of this study is that robot assistance will result in faster skill acquisition than manual needle guidance.
METHODS: Five co-authors with different experience with nerve blocks and the robotic system performed both manual and robot-assisted, US-guided nerve blocks on two different nerves of a nerve phantom. Ten trials were performed for each of the four procedures. Time taken to move from a shared starting position till the needle was inserted into the target nerve was defined as the performance time. A successful block was defined as the insertion of the needle into the target nerve. Average performance times were compared using analysis of variance. P<0.05 was considered significant. Data presented as mean (standard deviation).
RESULTS: All blocks were successful. There were significant differences in performance times between co-authors to perform the manual blocks, either superficial (P=0.001) or profound (P=0.0001); no statistical difference between co-authors was noted for the robot-assisted blocks. Linear regression indicated that the average decrease in time between consecutive trials for robot-assisted blocks of 1.8 (1.6) s was significantly (P=0.007) greater than the decrease for manual blocks of 0.3 (0.3) s.
CONCLUSIONS: Robot assistance of nerve blocks allows for faster learning of needle guidance over manual positioning and reduces inter-subject performance variability.
© The Author [2014]. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  learning curves; medical robotics; regional anaesthesia; robot assistance; robotic anaesthesia; simulation

Mesh:

Substances:

Year:  2014        PMID: 24464610     DOI: 10.1093/bja/aet440

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  2 in total

Review 1.  Simulation in teaching regional anesthesia: current perspectives.

Authors:  Ankeet D Udani; T Edward Kim; Steven K Howard; Edward R Mariano
Journal:  Local Reg Anesth       Date:  2015-08-11

Review 2.  Artificial intelligence and anesthesia: A narrative review.

Authors:  Madhavi Singh; Gita Nath
Journal:  Saudi J Anaesth       Date:  2022-01-04
  2 in total

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