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Perfect registration leads to imperfect performance: a randomised trial of multimodal intraoperative image guidance
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![]() | Accepted version | 1.15 MB | Microsoft Word | View/Open |
Title: | Perfect registration leads to imperfect performance: a randomised trial of multimodal intraoperative image guidance |
Authors: | Dilley, J Hughes-Hallett, A Pratt, P Pucher, P Camara, M Darzi, A Mayer, E |
Item Type: | Journal Article |
Abstract: | Objective – To compare surgical safety and efficiency of two image guidance modalities, perfect augmented reality (AR) and side-by-side unregistered image guidance (IG), against a no guidance control (NG), when performing a simulated laparoscopic cholecystectomy (LC). Background – Image guidance using AR offers the potential to improve understanding of subsurface anatomy, with positive ramifications for surgical safety and efficiency. No intra-abdominal study has demonstrated any advantage for the technology. Perfect AR cannot be provided in the operative setting in a patient, however it can be generated in the simulated setting. Methods – Thirty six experienced surgeons performed a baseline LC using the LapMentor™ simulator before randomisation to one of three study arms: AR, IG or NG. Each performed three further LC. Safety and efficiency-related simulator metrics, and task workload (SURG-TLX) were collected. Results –The IG group had a shorter total instrument path length and fewer movements than NG and AR groups. Both IG and NG took a significantly shorter time than AR to complete dissection of Calot’s triangle. Use of IG and AR resulted in significantly fewer perforations and serious complications than the NG group. IG had significantly fewer perforations and serious complications than AR group. Compared to IG, AR guidance was found to be significantly more distracting. Conclusion – Side-by-side unregistered image guidance (IG) improved safety and surgical efficiency in a simulated setting when compared to AR or NG. IG provides a more tangible opportunity for integrating image guidance into existing surgical workflow as well as delivering the safety and efficiency benefits desired. |
Issue Date: | 1-Feb-2019 |
Date of Acceptance: | 9-Apr-2018 |
URI: | http://hdl.handle.net/10044/1/58978 |
DOI: | https://dx.doi.org/10.1097/SLA.0000000000002793 |
ISSN: | 0003-4932 |
Publisher: | Lippincott, Williams & Wilkins |
Start Page: | 236 |
End Page: | 242 |
Journal / Book Title: | Annals of Surgery |
Volume: | 269 |
Copyright Statement: | © 2019 Wolters Kluwer Health, Inc. All rights reserved. |
Sponsor/Funder: | Imperial College Healthcare NHS Trust- BRC Funding Imperial College Healthcare NHS Trust- BRC Funding Imperial College Healthcare NHS Trust Imperial College Healthcare NHS Trust- BRC Funding National Institute of Health Research |
Funder's Grant Number: | RDB04 79560 RD207 UR150 RDB04 |
Keywords: | Science & Technology Life Sciences & Biomedicine Surgery augmented reality image guidance laparoscopic cholecystectomy perfect registration MINIMALLY INVASIVE SURGERY AUGMENTED REALITY SKILLS TRANSFER FLUORESCENCE VALIDATION CURRICULUM SIMULATOR 11 Medical and Health Sciences Surgery |
Publication Status: | Published |
Appears in Collections: | Department of Surgery and Cancer Institute of Global Health Innovation |