Literature DB >> 15455928

Measurements of the level of surgical expertise using flight path analysis from da Vinci robotic surgical system.

Lawton Verner1, Dmitry Oleynikov, Stephen Holtmann, Hani Haider, Leonid Zhukov.   

Abstract

Laparoscopic surgical procedures require precise hand and eye coordination based on a 2-dimensional representation of 3-dimensional space. Currently, no metric exists to guide the educational process while surgeons are still on the learning curve. In this paper, we propose to identify and qualify the patterns of movements recorded from the da Vinci robotic surgical system (Intuitive Surgical, Sunnyvale CA) that are most consistent with mastery and can define levels of proficiency. We have recorded velocities and positions of complex movements made by both novice and expert surgeons using da Vinci system and performed geometric and statistical analysis of the data.

Mesh:

Year:  2003        PMID: 15455928

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  Assessment of Robotic Console Skills (ARCS): construct validity of a novel global rating scale for technical skills in robotically assisted surgery.

Authors:  May Liu; Shreya Purohit; Joshua Mazanetz; Whitney Allen; Usha S Kreaden; Myriam Curet
Journal:  Surg Endosc       Date:  2017-07-01       Impact factor: 4.584

2.  Region-Specific Objective Signatures of Endoscopic Surgical Instrument Motion: A Cadaveric Exploratory Analysis.

Authors:  R Alex Harbison; Angelique M Berens; Yangming Li; Randall A Bly; Blake Hannaford; Kris S Moe
Journal:  J Neurol Surg B Skull Base       Date:  2016-08-30

3.  A touch panel surgical navigation system with automatic depth perception.

Authors:  Satoru Okada; Junichi Shimada; Kazuhiro Ito; Daishiro Kato
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-06-07       Impact factor: 2.924

4.  An Automated Methodology for Assessing Anatomy-Specific Instrument Motion during Endoscopic Endonasal Skull Base Surgery.

Authors:  R Alex Harbison; Yangming Li; Angelique M Berens; Randall A Bly; Blake Hannaford; Kris S Moe
Journal:  J Neurol Surg B Skull Base       Date:  2016-12-20

5.  Objective measures for longitudinal assessment of robotic surgery training.

Authors:  Rajesh Kumar; Amod Jog; Balazs Vagvolgyi; Hiep Nguyen; Gregory Hager; Chi Chiung Grace Chen; David Yuh
Journal:  J Thorac Cardiovasc Surg       Date:  2011-12-14       Impact factor: 5.209

6.  Face and construct validation of a virtual peg transfer simulator.

Authors:  Venkata S Arikatla; Ganesh Sankaranarayanan; Woojin Ahn; Amine Chellali; Suvranu De; G L Caroline; John Hwabejire; Marc DeMoya; Steven Schwaitzberg; Daniel B Jones
Journal:  Surg Endosc       Date:  2012-12-14       Impact factor: 4.584

7.  Robotic surgery training and performance: identifying objective variables for quantifying the extent of proficiency.

Authors:  K Narazaki; D Oleynikov; N Stergiou
Journal:  Surg Endosc       Date:  2005-12-07       Impact factor: 3.453

8.  Dynamic changes of brain functional states during surgical skill acquisition.

Authors:  Somayeh B Shafiei; Ahmed Aly Hussein; Khurshid A Guru
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

  8 in total

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