Transoral Robotic Surgery Simulation-Based Standardized Training

被引:24
|
作者
Zhang, Ning [1 ]
Sumer, Baran D. [1 ]
机构
[1] Univ Texas SW Med Ctr Dallas, Dept Otolaryngol Head & Neck Surg, Simmons Comprehens Canc Ctr, Dallas, TX 75390 USA
关键词
CONSTRUCT-VALIDATION; SKILLS; FACE; HEAD;
D O I
10.1001/jamaoto.2013.4720
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
IMPORTANCE Simulation-based standardized training is important for the clinical training of physicians practicing robotic surgery. OBJECTIVE To train robotic surgery-naive student volunteers using the da Vinci Skills Simulator (dVSS) for transoral robotic surgery (TORS). DESIGN Prospective inception cohort in 2012. SETTING Academic referral center. PARTICIPANTS Sixteen medical student volunteers lacking experience in robotic surgery. INTERVENTIONS Participants trained with the dVSS in 12 exercises until competent, defined as an overall score of at least 91%. After a 1-, 3-, 5-, or 7-week postinitial training hiatus (n = 4 per group), participants reachieved competence on follow-up. MAIN OUTCOMES AND MEASURES Total training time (TTT) to achieve competency, total follow-up time (TFT) to reachieve competency, and performance metrics. RESULTS All participants became competent. The TTT distribution was normal based on the Anderson-Darling normality test (P > .50), but our sample was divided into a short training time (STT) group (n = 10 [63%]) and long training time (LTT) group (n = 6 [37%]). The mean (SD) TTT was 2.4 (0.6) hours for the STT group and 4.7 (0.5) hours for the LTT group. All participants reachieved competence with a mean TFT that was significantly shorter than TTT. There was no significant difference between STT and LTT in mean TFT at 1 and 3 weeks (P = .79), but the LTT group had a longer TFT at 5 and 7 weeks (P = .04) but with no difference in final follow-up scores (P = .12). CONCLUSIONS AND RELEVANCE Physicians in training can acquire robotic surgery competency. Participants who acquire skills faster regain robotic skills faster after a training hiatus, but, on retraining, all participants can regain equivalent competence. This information provides a benchmark for a simulator training program.
引用
下载
收藏
页码:1111 / 1117
页数:7
相关论文
共 50 条
  • [1] Enhancing bibliometric methods in simulation-based robotic surgery training
    Si-Cheng Zhou
    Li Wang
    Xi Chen
    Hong-Qiu Xiao
    Fan Yu
    Jie Tian
    Journal of Robotic Surgery, 19 (1)
  • [2] Simulation-Based Training in Robotic Surgery: Contemporary and Future Methods
    Thornblade, Lucas W.
    Fong, Yuman
    JOURNAL OF LAPAROENDOSCOPIC & ADVANCED SURGICAL TECHNIQUES, 2021, 31 (05): : 556 - 560
  • [3] Role of Simulation-Based Training in Minimally Invasive and Robotic Colorectal Surgery
    Alonso Araujo, Sergio Eduardo
    Perez, Rodrigo Oliva
    Klajner, Sidney
    CLINICS IN COLON AND RECTAL SURGERY, 2021, 34 (03) : 136 - 143
  • [4] Simulation-based training in robotic surgery education: bibliometric analysis and visualization
    Chen, Siwei
    Huang, Jingjuan
    Zhang, Lin
    Xu, Yanwen
    Zhang, Zeyong
    JOURNAL OF ROBOTIC SURGERY, 2024, 18 (01)
  • [5] Simulation-based training for prostate surgery
    Khan, Raheej
    Aydin, Abdullatif
    Khan, Muhammad Shamim
    Dasgupta, Prokar
    Ahmed, Kamran
    BJU INTERNATIONAL, 2015, 116 (04) : 665 - 674
  • [6] Simulation-Based Training in Cardiac Surgery
    Feins, Richard H.
    Burkhart, Harold M.
    Conte, John V.
    Coore, Daniel N.
    Fann, James I.
    Hicks, George L., Jr.
    Nesbitt, Jonathan C.
    Ramphal, Paul S.
    Schiro, Sharon E.
    Shen, K. Robert
    Sridhar, Amaanti
    Stewart, Paul W.
    Walker, Jennifer D.
    Mokadam, Nahush A.
    ANNALS OF THORACIC SURGERY, 2017, 103 (01): : 312 - 321
  • [7] Robotic surgery basic skills training: Evaluation of a pilot multidisciplinary simulation-based curriculum
    Foell, Kirsten
    Finelli, Antonio
    Yasufuku, Kazuhiro
    Bernardini, Marcus Q.
    Waddell, Thomas K.
    Pace, Kenneth T.
    Honey, R. John D. 'A.
    Lee, Jason Y.
    CUAJ-CANADIAN UROLOGICAL ASSOCIATION JOURNAL, 2013, 7 (11-12): : 430 - 434
  • [8] How I Do It: Structured Narration for Cognitive Simulation-based Training in Robotic Surgery
    Larkins, Kirsten
    El Mohamed, Jade
    Mohan, Helen
    Heriot, Alexander
    Warrier, Satish
    JOURNAL OF SURGICAL EDUCATION, 2023, 80 (05) : 624 - 628
  • [9] Development of a Transoral Robotic Surgery Training Platform
    Geoghegan, Rory
    Song, Jonathan
    Singh, Aadesh
    Le, Tyler
    Abiri, Ahmad
    Mendelsohn, Abie H.
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 5851 - 5854
  • [10] Evaluation of high-fidelity simulation as a training tool in transoral robotic surgery
    Bur, Andres M.
    Gomez, Ernest D.
    Newman, Jason G.
    Weinstein, Gregory S.
    O'Malley, Bert W., Jr.
    Rassekh, Christopher H.
    Kuchenbecker, Katherine J.
    LARYNGOSCOPE, 2017, 127 (12): : 2790 - 2795