Literature DB >> 21842396

Decomposition and analysis of laparoscopic suturing task using tool-motion analysis (TMA): improving the objective assessment.

J B Pagador1, F M Sánchez-Margallo, L F Sánchez-Peralta, J A Sánchez-Margallo, J L Moyano-Cuevas, S Enciso-Sanz, J Usón-Gargallo, J Moreno.   

Abstract

PURPOSE: The laparoscopic suturing task is a complex procedure that requires objective assessment of surgical skills. Analysis of laparoscopic suturing task components was performed to improve current objective assessment tools.
METHODS: Twelve subjects participated in this study as three groups of four surgeons (novices, intermediates and experts). A box-trainer and organic tissue were used to perform the experiment while tool movements were recorded with the augmented reality haptic system. All subjects were right-handed and developed a surgeon's knot. The laparoscopic suturing procedure was decomposed into four subtasks. Different objective metrics were applied during tool-motion analysis (TMA). Statistical analysis was performed, and results from three groups were compared using the Jonckheere-Terpstra test, considering significant differences when P ≤ 0.05.
RESULTS: Several first, second and fourth subtask metrics had significant differences between the three groups. Subtasks 1 and 2 had more significant differences in metrics than subtask 4. Almost all metrics showed superior task executions accomplished by experts (lower time, total path length and number of movements) compared with intermediates and novices.
CONCLUSION: The most important subtasks during suture learning process are needle puncture and first knot. The TMA could be a useful objective assessment tool to discriminate surgical experience and could be used in the future to measure and certify surgical proficiency.

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Year:  2011        PMID: 21842396     DOI: 10.1007/s11548-011-0650-9

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  29 in total

1.  Synchronized video and motion analysis for the assessment of procedures in the operating theater.

Authors:  Aristotelis Dosis; Rajesh Aggarwal; Fernando Bello; Krishna Moorthy; Yaron Munz; Duncan Gillies; Ara Darzi
Journal:  Arch Surg       Date:  2005-03

2.  Bimodal assessment of laparoscopic suturing skills: construct and concurrent validity.

Authors:  K Moorthy; Y Munz; A Dosis; F Bello; A Chang; A Darzi
Journal:  Surg Endosc       Date:  2004-10-11       Impact factor: 4.584

3.  SINERGIA laparoscopic virtual reality simulator: didactic design and technical development.

Authors:  Pablo Lamata; Enrique J Gómez; Francisco M Sánchez-Margallo; Oscar López; Carlos Monserrat; Verónica García; Carlos Alberola; Miguel Angel Rodríguez Florido; Juan Ruiz; Jesús Usón
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Review 4.  VR to OR: a review of the evidence that virtual reality simulation improves operating room performance.

Authors:  Neal E Seymour
Journal:  World J Surg       Date:  2008-02       Impact factor: 3.352

5.  Curriculum-based solo virtual reality training for laparoscopic intracorporeal knot tying: objective assessment of the transfer of skill from virtual reality to reality.

Authors:  Yaron Munz; Alex M Almoudaris; Krishna Moorthy; Aristotelis Dosis; Alexander D Liddle; Ara W Darzi
Journal:  Am J Surg       Date:  2007-06       Impact factor: 2.565

6.  Support vector machines improve the accuracy of evaluation for the performance of laparoscopic training tasks.

Authors:  Brian Allen; Vasile Nistor; Erik Dutson; Greg Carman; Catherine Lewis; Petros Faloutsos
Journal:  Surg Endosc       Date:  2009-06-16       Impact factor: 4.584

7.  Simulation in laparoscopic surgery: a concurrent validity study for FLS.

Authors:  George Xeroulis; Adam Dubrowski; Ken Leslie
Journal:  Surg Endosc       Date:  2008-09-24       Impact factor: 4.584

8.  Laparoscopic ventral hernia repair is safe and cost effective.

Authors:  G Beldi; R Ipaktchi; M Wagner; B Gloor; D Candinas
Journal:  Surg Endosc       Date:  2005-12-07       Impact factor: 3.453

9.  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

Review 10.  Validation and implementation of surgical simulators: a critical review of present, past, and future.

Authors:  B M A Schout; A J M Hendrikx; F Scheele; B L H Bemelmans; A J J A Scherpbier
Journal:  Surg Endosc       Date:  2009-07-25       Impact factor: 4.584

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  6 in total

1.  Learning curves of basic laparoscopic psychomotor skills in SINERGIA VR simulator.

Authors:  L F Sánchez-Peralta; F M Sánchez-Margallo; J L Moyano-Cuevas; J B Pagador; S Enciso; E J Gómez-Aguilera; J Usón-Gargallo
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-04-11       Impact factor: 2.924

2.  Robotic learning of motion using demonstrations and statistical models for surgical simulation.

Authors:  Tao Yang; Chee Kong Chui; Jiang Liu; Weimin Huang; Yi Su; Stephen K Y Chang
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-14       Impact factor: 2.924

3.  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

4.  Objective assessment based on motion-related metrics and technical performance in laparoscopic suturing.

Authors:  Juan A Sánchez-Margallo; Francisco M Sánchez-Margallo; Ignacio Oropesa; Silvia Enciso; Enrique J Gómez
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-07-16       Impact factor: 2.924

5.  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

6.  Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery.

Authors:  Chaitanya S Kulkarni; Shiyu Deng; Tianzi Wang; Jacob Hartman-Kenzler; Laura E Barnes; Sarah Henrickson Parker; Shawn D Safford; Nathan Lau
Journal:  Surg Endosc       Date:  2022-09-19       Impact factor: 3.453

  6 in total

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