Literature DB >> 25480615

Construct validity and educational role for motion analysis in a laparoscopic trainer.

Maeve O'Neill Trudeau1, Ahmed Nasr, Brian Carrillo, J Ted Gerstle, Georges Azzie.   

Abstract

BACKGROUND: Laparoscopic models for ex vivo up-skilling are becoming increasingly important components of surgical education. This study aims to establish the construct validity and possible educational role of a new laparoscopic box trainer equipped with a motion-tracking device.
METHODS: A structured questionnaire was used to assign participants into novice, intermediate, or expert categories according to level of experience in minimal access surgery (MAS). Participants carried out a well-defined intracorporeal suturing task. Three specific motion analysis parameters (MAPs)-velocity, acceleration, and range-were measured and analyzed as movements in the four degrees of freedom available in traditional MAS using tracking sensors at the trocar insertion sites.
RESULTS: The number of extreme velocity and acceleration events in all four degrees of freedom proved capable of differentiating between participants in the three categories of surgical experience using an ANOVA test (p < 0.001). Post hoc analysis confirmed these differences in the number of extreme velocity and acceleration events between all groups tested except for the velocity of the roll between the intermediates and experts.
CONCLUSION: These findings confirm construct validity for this new laparoscopic box trainer system, which employs a novel analysis based on motion parameters. Motion parameters provide information regarding the overall smoothness of the operator's instrument handling, an important aspect of a surgeon's technique. This preliminary data will be used to design a simulator with real-time motion feedback to enhance its educational value.

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Year:  2014        PMID: 25480615     DOI: 10.1007/s00464-014-3988-6

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  23 in total

1.  Assessment of technical skills transfer from the bench training model to the human model.

Authors:  D J Anastakis; G Regehr; R K Reznick; M Cusimano; J Murnaghan; M Brown; C Hutchison
Journal:  Am J Surg       Date:  1999-02       Impact factor: 2.565

2.  Virtual reality training improves operating room performance: results of a randomized, double-blinded study.

Authors:  Neal E Seymour; Anthony G Gallagher; Sanziana A Roman; Michael K O'Brien; Vipin K Bansal; Dana K Andersen; Richard M Satava
Journal:  Ann Surg       Date:  2002-10       Impact factor: 12.969

3.  Proving the value of simulation in laparoscopic surgery.

Authors:  Gerald M Fried; Liane S Feldman; Melina C Vassiliou; Shannon A Fraser; Donna Stanbridge; Gabriela Ghitulescu; Christopher G Andrew
Journal:  Ann Surg       Date:  2004-09       Impact factor: 12.969

4.  Force feedback plays a significant role in minimally invasive surgery: results and analysis.

Authors:  Gregory Tholey; Jaydev P Desai; Andres E Castellanos
Journal:  Ann Surg       Date:  2005-01       Impact factor: 12.969

5.  Skill acquisition and assessment for laparoscopic surgery.

Authors:  J C Rosser; L E Rosser; R S Savalgi
Journal:  Arch Surg       Date:  1997-02

Review 6.  Is motion analysis a valid tool for assessing laparoscopic skill?

Authors:  John D Mason; James Ansell; Neil Warren; Jared Torkington
Journal:  Surg Endosc       Date:  2012-12-12       Impact factor: 4.584

7.  Analysis of hand motion differentiates expert and novice surgeons.

Authors:  Munenori Uemura; Morimasa Tomikawa; Ryuichi Kumashiro; Tiejun Miao; Ryota Souzaki; Satoshi Ieiri; Kenoki Ohuchida; Alan T Lefor; Makoto Hashizume
Journal:  J Surg Res       Date:  2013-12-19       Impact factor: 2.192

8.  Experienced laparoscopic surgeons are automated to the "fulcrum effect": an ergonomic demonstration.

Authors:  I R Crothers; A G Gallagher; N McClure; D T James; J McGuigan
Journal:  Endoscopy       Date:  1999-06       Impact factor: 10.093

9.  Randomized clinical trial of virtual reality simulation for laparoscopic skills training.

Authors:  T P Grantcharov; V B Kristiansen; J Bendix; L Bardram; J Rosenberg; P Funch-Jensen
Journal:  Br J Surg       Date:  2004-02       Impact factor: 6.939

10.  Effectiveness of box trainers in laparoscopic training.

Authors:  Anender Kaur Dhariwal; Ramkrishna Y Prabhu; Abhay N Dalvi; Avinash N Supe
Journal:  J Minim Access Surg       Date:  2007-04       Impact factor: 1.407

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  5 in total

1.  Simulation platforms to assess laparoscopic suturing skills: a scoping review.

Authors:  Elif Bilgic; Motaz Alyafi; Tomonori Hada; Tara Landry; Gerald M Fried; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2019-05-14       Impact factor: 4.584

2.  Analysis of motion in laparoscopy: the deconstruction of an intra-corporeal suturing task.

Authors:  Monica A Farcas; Maeve O'Neill Trudeau; Ahmed Nasr; J Ted Gerstle; Brian Carrillo; Georges Azzie
Journal:  Surg Endosc       Date:  2016-12-07       Impact factor: 4.584

3.  Comparison of the performance of experienced and novice surgeons: measurement of gripping force during laparoscopic surgery performed on pigs using forceps with pressure sensors.

Authors:  Azumi Araki; Kazuhide Makiyama; Hiroyuki Yamanaka; Daiki Ueno; Kimito Osaka; Manabu Nagasaka; Takahiro Yamada; Masahiro Yao
Journal:  Surg Endosc       Date:  2016-08-29       Impact factor: 4.584

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.  Automatically rating trainee skill at a pediatric laparoscopic suturing task.

Authors:  Yousi A Oquendo; Elijah W Riddle; Dennis Hiller; Thane A Blinman; Katherine J Kuchenbecker
Journal:  Surg Endosc       Date:  2017-10-25       Impact factor: 4.584

  5 in total

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