Literature DB >> 33829327

A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented Reality.

Yuri Nagayo1, Toki Saito2, Hiroshi Oyama2.   

Abstract

The surgical education environment has been changing significantly due to restricted work hours, limited resources, and increasing public concern for safety and quality, leading to the evolution of simulation-based training in surgery. Of the various simulators, low-fidelity simulators are widely used to practice surgical skills such as sutures because they are portable, inexpensive, and easy to use without requiring complicated settings. However, since low-fidelity simulators do not offer any teaching information, trainees do self-practice with them, referring to textbooks or videos, which are insufficient to learn open surgical procedures. This study aimed to develop a new suture training system for open surgery that provides trainees with the three-dimensional information of exemplary procedures performed by experts and allows them to observe and imitate the procedures during self-practice. The proposed system consists of a motion capture system of surgical instruments and a three-dimensional replication system of captured procedures on the surgical field. Motion capture of surgical instruments was achieved inexpensively by using cylindrical augmented reality (AR) markers, and replication of captured procedures was realized by visualizing them three-dimensionally at the same position and orientation as captured, using an AR device. For subcuticular interrupted suture, it was confirmed that the proposed system enabled users to observe experts' procedures from any angle and imitate them by manipulating the actual surgical instruments during self-practice. We expect that this training system will contribute to developing a novel surgical training method that enables trainees to learn surgical skills by themselves in the absence of experts.

Entities:  

Keywords:  Augmented reality; Motion capture; Open surgery; Replication; Simulation-based training; Surgical training

Year:  2021        PMID: 33829327     DOI: 10.1007/s10916-021-01735-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  11 in total

1.  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

Review 2.  Review of methods for objective surgical skill evaluation.

Authors:  Carol E Reiley; Henry C Lin; David D Yuh; Gregory D Hager
Journal:  Surg Endosc       Date:  2010-07-07       Impact factor: 4.584

3.  Simulation improves resident performance in catheter-based intervention: results of a randomized, controlled study.

Authors:  Rabih A Chaer; Brian G Derubertis; Stephanie C Lin; Harry L Bush; John K Karwowski; Daniel Birk; Nicholas J Morrissey; Peter L Faries; James F McKinsey; K Craig Kent
Journal:  Ann Surg       Date:  2006-09       Impact factor: 12.969

4.  Teaching suturing and knot-tying skills to medical students: a randomized controlled study comparing computer-based video instruction and (concurrent and summary) expert feedback.

Authors:  George J Xeroulis; Jason Park; Carol-Anne Moulton; Richard K Reznick; Vicki Leblanc; Adam Dubrowski
Journal:  Surgery       Date:  2007-01-25       Impact factor: 3.982

Review 5.  History of simulation in medicine: from Resusci Annie to the Ann Myers Medical Center.

Authors:  Harminder Singh; Maziyar Kalani; Stefany Acosta-Torres; Tarek Y El Ahmadieh; Joshua Loya; Aruna Ganju
Journal:  Neurosurgery       Date:  2013-10       Impact factor: 4.654

6.  Teaching subcuticular suturing to medical students: video versus expert instructor feedback.

Authors:  Stuart H Shippey; Tiffany L Chen; Betty Chou; Leise R Knoepp; Craig W Bowen; Victoria L Handa
Journal:  J Surg Educ       Date:  2011-06-25       Impact factor: 2.891

Review 7.  Utilizing virtual and augmented reality for educational and clinical enhancements in neurosurgery.

Authors:  Panayiotis E Pelargos; Daniel T Nagasawa; Carlito Lagman; Stephen Tenn; Joanna V Demos; Seung J Lee; Timothy T Bui; Natalie E Barnette; Nikhilesh S Bhatt; Nolan Ung; Ausaf Bari; Neil A Martin; Isaac Yang
Journal:  J Clin Neurosci       Date:  2016-10-27       Impact factor: 1.961

8.  Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon.

Authors:  Karl-Friedrich Kowalewski; Jonathan D Hendrie; Mona W Schmidt; Carly R Garrow; Thomas Bruckner; Tanja Proctor; Sai Paul; Davud Adigüzel; Sebastian Bodenstedt; Andreas Erben; Hannes Kenngott; Young Erben; Stefanie Speidel; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2016-09-07       Impact factor: 4.584

Review 9.  Systematic review on the effectiveness of augmented reality applications in medical training.

Authors:  E Z Barsom; M Graafland; M P Schijven
Journal:  Surg Endosc       Date:  2016-02-23       Impact factor: 4.584

10.  High-fidelity is not superior to low-fidelity simulation but leads to overconfidence in medical students.

Authors:  Christina Massoth; Hannah Röder; Hendrik Ohlenburg; Michael Hessler; Alexander Zarbock; Daniel M Pöpping; Manuel Wenk
Journal:  BMC Med Educ       Date:  2019-01-21       Impact factor: 2.463

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