Perfect Registration Leads to Imperfect Performance A Randomized Trial of Multimodal Intraoperative Image Guidance

被引:12
|
作者
Dilley, James W. R. [1 ]
Hughes-Hallett, Archie [1 ]
Pratt, Philip J. [1 ]
Pucher, Philip H. [1 ]
Camara, Mafalda [1 ]
Darzi, Ara W. [1 ]
Mayer, Erik K. [1 ]
机构
[1] Imperial Coll London, Dept Surg & Canc, St Marys Hosp Campus,10th Floor,QEQM Bldg, London W2 1NY, England
关键词
augmented reality; image guidance; laparoscopic cholecystectomy; perfect registration; MINIMALLY INVASIVE SURGERY; AUGMENTED REALITY; SKILLS TRANSFER; FLUORESCENCE; VALIDATION; CURRICULUM; SIMULATOR;
D O I
10.1097/SLA.0000000000002793
中图分类号
R61 [外科手术学];
学科分类号
摘要
Objective: To compare surgical safety and efficiency of 2 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 randomization to 1 of 3 study arms: AR, IG, or NG. Each performed 3 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 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 the AR group. Compared with 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 with 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.
引用
收藏
页码:236 / 242
页数:7
相关论文
共 50 条
  • [1] UNSUPERVISED MULTIMODAL IMAGE REGISTRATION WITH ADAPTATIVE GRADIENT GUIDANCE
    Xu, Zhe
    Yan, Jiangpeng
    Luo, Jie
    Li, Xiu
    Jagadeesan, Jayender
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 1225 - 1229
  • [2] Stereoscopic Integrated Imaging Goggles for Multimodal Intraoperative Image Guidance
    Mela, Christopher A.
    Patterson, Carrie
    Thompson, William K.
    Papay, Francis
    Liu, Yang
    [J]. PLOS ONE, 2015, 10 (11):
  • [3] Pet/ct Image Registration For Multimodal Bronchoscopic Procedure Planning And Guidance
    Higgins, W. E.
    Cheirsilp, R.
    Zang, X.
    Byrnes, P.
    Kuhlengel, T.
    Allen, T.
    Toth, J.
    Bascom, R.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193
  • [4] A deformable multimodal image registration using PET/CT and TRUS for intraoperative focal prostate brachytherapy
    Sultana, Sharmin
    Song, Daniel Y.
    Lee, Junghoon
    [J]. MEDICAL IMAGING 2019: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2019, 10951
  • [5] Real-time multimodal image registration with partial intraoperative point-set data
    Baum, Zachary M. C.
    Hu, Yipeng
    Barratt, Dean C.
    [J]. MEDICAL IMAGE ANALYSIS, 2021, 74
  • [6] Randomized trial evaluating intraoperative ultrasound guidance for palpable breast cancer excision
    Bunting, Pamela W.
    Cyr, Amy E.
    Margenthaler, Julie A.
    [J]. EXPERT REVIEW OF MEDICAL DEVICES, 2013, 10 (03) : 317 - 320
  • [7] Multi-scale U-net with Edge Guidance for Multimodal Retinal Image Deformable Registration
    Tian, Yuntong
    Hu, Yan
    Ma, Yuhui
    Hao, Huaying
    Mou, Lei
    Yang, Jianlong
    Zhao, Yitian
    Liu, Jiang
    [J]. 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 1360 - 1363
  • [8] Performance evaluation of an automated image registration algorithm using an integrated kilovoltage imaging and guidance system
    Fox, Timothy
    Huntzinger, Calvin
    Johnstone, Peter
    Ogunleye, Tomi
    Elder, Eric
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2006, 7 (01): : 97 - 104
  • [9] Computerized feedback during colonoscopy training leads to improved performance: a randomized trial
    Vilmann, Andreas Slot
    Norsk, David
    Svendsen, Morten Bo Sondergaard
    Reinhold, Rasmus
    Svendsen, Lars Bo
    Park, Yoon Soo
    Konge, Lars
    [J]. GASTROINTESTINAL ENDOSCOPY, 2018, 88 (05) : 869 - 876
  • [10] Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis
    Huang, Yixuan
    Zhang, Xiaoxuan
    Hu, Yicheng
    Johnston, Ashley R.
    Jones, Craig K.
    Zbijewski, Wojciech B.
    Siewerdsen, Jeffrey H.
    Helm, Patrick A.
    Witham, Timothy F.
    Uneri, Ali
    [J]. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2024, 114