Perfect registration leads to imperfect performance: a randomised trial of multimodal intraoperative image guidance
File(s)AR RCT 27032018_R2_Submitted.docx (1.12 MB)
Accepted version
Author(s)
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.
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.
Date Issued
2019-02-01
Date Acceptance
2018-04-09
Citation
Annals of Surgery, 2019, 269, pp.236-242
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
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
Grant Number
RDB04 79560
RD207
UR150
RDB04
Subjects
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