Artigo Revisado por pares

Content and Construct Validation of a Robotic Surgery Curriculum Using an Electromagnetic Instrument Tracker

2012; Lippincott Williams & Wilkins; Volume: 188; Issue: 3 Linguagem: Inglês

10.1016/j.juro.2012.05.005

ISSN

1527-3792

Autores

Timothy J. Tausch, Timothy M. Kowalewski, Lee White, Patrick S. McDonough, Timothy C. Brand, Thomas S. Lendvay,

Tópico(s)

Minimally Invasive Surgical Techniques

Resumo

No AccessJournal of UrologyAdult Urology1 Sep 2012Content and Construct Validation of a Robotic Surgery Curriculum Using an Electromagnetic Instrument Tracker Timothy J. Tausch, Timothy M. Kowalewski, Lee W. White, Patrick S. McDonough, Timothy C. Brand, and Thomas S. Lendvay Timothy J. TauschTimothy J. Tausch Madigan Health Care System, Tacoma, Washington , Timothy M. KowalewskiTimothy M. Kowalewski University of Washington, Seattle, Washington , Lee W. WhiteLee W. White University of Washington, Seattle, Washington , Patrick S. McDonoughPatrick S. McDonough Madigan Health Care System, Tacoma, Washington , Timothy C. BrandTimothy C. Brand Madigan Health Care System, Tacoma, Washington , and Thomas S. LendvayThomas S. Lendvay Seattle Children's Hospital, Seattle, Washington View All Author Informationhttps://doi.org/10.1016/j.juro.2012.05.005AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Rapid adoption of robot-assisted surgery has outpaced our ability to train novice roboticists. Objective metrics are required to adequately assess robotic surgical skills and yet surrogates for proficiency, such as economy of motion and tool path metrics, are not readily accessible directly from the da Vinci® robot system. The trakSTAR™ Tool Tip Tracker is a widely available, cost-effective electromagnetic position sensing mechanism by which objective proficiency metrics can be quantified. We validated a robotic surgery curriculum using the trakSTAR device to objectively capture robotic task proficiency metrics. Materials and Methods: Through an institutional review board approved study 10 subjects were recruited from 2 surgical experience groups (novice and experienced). All subjects completed 3 technical skills modules, including block transfer, intracorporeal suturing/knot tying (fundamentals of laparoscopic surgery) and ring tower transfer, using the da Vinci robot with the trakSTAR device affixed to the robotic instruments. Recorded objective metrics included task time and path length, which were used to calculate economy of motion. Student t test statistics were performed using STATA®. Results: The novice and experienced groups consisted of 5 subjects each. The experienced group outperformed the novice group in all 3 tasks. Experienced surgeons described the simulator platform as useful for training and agreed with incorporating it into a residency curriculum. Conclusions: Robotic surgery curricula can be validated by an off-the-shelf instrument tracking system. This platform allows surgical educators to objectively assess trainees and may provide credentialing offices with a means of objectively assessing any surgical staff member seeking robotic surgery privileges at an institution. References 1 : Best practices for robotic surgery training and credentialing. J Urol2011; 185: 1191. Link, Google Scholar 2 : Validity in educational research: critically important but frequently misunderstood. Arch Surg2010; 145: 201. Google Scholar 3 : Development of a model for training and evaluation of laparoscopic skills. Am J Surg1998; 175: 482. Google Scholar 4 : The use of surgical simulators to reduce errors. In: . Edited by . Rockville: Agency for Healthcare Research and Quality2005. Google Scholar 5 : Fundamental principles of validation, and reliability: rigorous science for the assessment of surgical education and training. Surg Endosc2003; 17: 1525. Google Scholar 6 : Proving the value of simulation in laparoscopic surgery. Ann Surg2004; 240: 518. Google Scholar 7 : Laparoscopy simulators. J Endourol2007; 21: 274. Google Scholar 8 : VR robotic surgery: randomized blinded study of the dV-Trainer robotic simulator. Studies Health Technol Informatics2008; 132: 242. Google Scholar 9 : Validation of a novel virtual reality robotic simulator. J Endourol2009; 23: 503. Google Scholar 10 : Initial validation of a virtual-reality robotic simulator. J Robotic Surg2008; 2: 145. Google Scholar 11 : Initial validation of the ProMIS surgical simulator as an objective measure of robotic task performance. J Robotic Surg2011; 5: 195. Google Scholar © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byHung A, Chen J, Jarc A, Hatcher D, Djaladat H and Gill I (2017) Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot StudyJournal of Urology, VOL. 199, NO. 1, (296-304), Online publication date: 1-Jan-2018. Volume 188 Issue 3 September 2012 Page: 919-923 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.Keywordsroboticssurgical proceduresminimally invasiveinstrumentationvalidation studiesbenchmarkingAcknowledgmentsFigure 1 was adapted from a task by the Chamberlain Group, Great Barrington, Massachusetts.Metrics Author Information Timothy J. Tausch Madigan Health Care System, Tacoma, Washington More articles by this author Timothy M. Kowalewski University of Washington, Seattle, Washington More articles by this author Lee W. White University of Washington, Seattle, Washington More articles by this author Patrick S. McDonough Madigan Health Care System, Tacoma, Washington More articles by this author Timothy C. Brand Madigan Health Care System, Tacoma, Washington More articles by this author Thomas S. Lendvay Seattle Children's Hospital, Seattle, Washington Financial interest and/or other relationship with Spi Surgical. 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