Literature DB >> 28840317

Impact of visual-spatial ability on laparoscopic camera navigation training.

Paul J Roch1, Henriette M Rangnick2, Julia A Brzoska1, Laura Benner3, Karl-Friedrich Kowalewski1, Philip C Müller1, Hannes G Kenngott1, Beat-Peter Müller-Stich1, Felix Nickel4.   

Abstract

BACKGROUND: Technical limitations of minimally invasive surgery challenge both surgeons and camera assistants. Current research indicates that visual-spatial ability (VSA) has impact on learning of laparoscopic camera navigation (LCN). However, it remains unclear if complexity of LCN tasks influences the impact of VSA. The aim of this study was to examine the influence of VSA on LCN training within tasks of different complexity levels.
METHODS: The present study was conducted as a monocentric prospective trial. VSA was assessed with a cube comparison test before participants underwent LCN training. LCN training consisted of three tasks with increasing complexity. Each task was performed four times and performance was assessed each time. Correlations and multivariate regression analysis were used to assess the influence of VSA on LCN skills.
RESULTS: Seventy-one participants were included (35 males). Significant performance improvement and faster completion times were observed from the first to fourth trial of all three LCN training tasks. Significant positive correlations between VSA and performance on LCN task 3 were found (performance: r s = 0.47; p < 0.001, time: r s = -0.43; p < 0.001). Multivariate regression revealed that higher VSA resulted in greater reduction of time between the first trials of LCN training task 3 (B = -1.67, p = 0.031).
CONCLUSION: In the present study, all trainees improved LCN performance during the training. VSA seems to have impact on LCN performance and training progress particularly for complex LCN tasks. The relation of VSA and LCN performance was stronger for less experienced participants and in the beginning of the learning phase.

Entities:  

Keywords:  Camera navigation; Complex tasks; Laparoscopy; Skills; Training; Visual–spatial ability

Mesh:

Year:  2017        PMID: 28840317     DOI: 10.1007/s00464-017-5789-1

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


  18 in total

1.  Effect of visual-spatial ability on learning of spatially-complex surgical skills.

Authors:  Kyle R Wanzel; Stanley J Hamstra; Dimitri J Anastakis; Edward D Matsumoto; Michael D Cusimano
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2.  Learning to use minimal access surgical instruments and 2-dimensional remote visual feedback: how difficult is the task for novices?

Authors:  Natalie Perkins; Janet L Starkes; Timothy D Lee; Carol Hutchison
Journal:  Adv Health Sci Educ Theory Pract       Date:  2002       Impact factor: 3.853

3.  Spatial ability, experience, and skill in laparoscopic surgery.

Authors:  Madeleine M Keehner; Frank Tendick; Maxwell V Meng; Haroon P Anwar; Mary Hegarty; Marshall L Stoller; Quan-Yang Duh
Journal:  Am J Surg       Date:  2004-07       Impact factor: 2.565

4.  Sequential learning of psychomotor and visuospatial skills for laparoscopic suturing and knot tying-a randomized controlled trial "The Shoebox Study" DRKS00008668.

Authors:  Felix Nickel; Jonathan D Hendrie; Karl-Friedrich Kowalewski; Thomas Bruckner; Carly R Garrow; Maisha Mantel; Hannes G Kenngott; Philipp Romero; Lars Fischer; Beat P Müller-Stich
Journal:  Langenbecks Arch Surg       Date:  2016-04-07       Impact factor: 3.445

5.  Predictive value of background experiences and visual spatial ability testing on laparoscopic baseline performance among residents entering postgraduate surgical training.

Authors:  Marisa Louridas; Lauren E Quinn; Teodor P Grantcharov
Journal:  Surg Endosc       Date:  2015-06-20       Impact factor: 4.584

6.  Does gender predict performance of novices undergoing Fundamentals of Laparoscopic Surgery (FLS) training?

Authors:  Michael T White; Kathryn Welch
Journal:  Am J Surg       Date:  2012-03       Impact factor: 2.565

7.  Development of a novel simulation model for assessment of laparoscopic camera navigation.

Authors:  Melissa W Brackmann; Pamela Andreatta; Karen McLean; R Kevin Reynolds
Journal:  Surg Endosc       Date:  2016-11-08       Impact factor: 4.584

8.  Surgical Skill: Trick or Trait?

Authors:  Van Bruwaene Siska; Lissens Ann; De Win Gunter; Neyrinck Bart; Lens Willy; Schijven Marlies; Miserez Marc
Journal:  J Surg Educ       Date:  2015-06-15       Impact factor: 2.891

9.  Visual-spatial ability is more important than motivation for novices in surgical simulator training: a preliminary study.

Authors:  Marcus Schlickum; Leif Hedman; Li Felländer-Tsai
Journal:  Int J Med Educ       Date:  2016-02-21

10.  Simulation-based camera navigation training in laparoscopy-a randomized trial.

Authors:  Cecilia Nilsson; Jette Led Sorensen; Lars Konge; Mikkel Westen; Morten Stadeager; Bent Ottesen; Flemming Bjerrum
Journal:  Surg Endosc       Date:  2016-10-21       Impact factor: 4.584

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  10 in total

1.  Self-directed training with e-learning using the first-person perspective for laparoscopic suturing and knot tying: a randomised controlled trial : Learning from the surgeon's real perspective.

Authors:  Mona W Schmidt; Karl-Friedrich Kowalewski; Sarah M Trent; Laura Benner; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2019-05-28       Impact factor: 4.584

2.  Structured assessment of laparoscopic camera navigation skills: the SALAS score.

Authors:  T Huber; M Paschold; F Schneble; A Poplawski; F Huettl; F Watzka; H Lang; W Kneist
Journal:  Surg Endosc       Date:  2018-06-04       Impact factor: 4.584

3.  Image-guided minimally invasive endopancreatic surgery using a computer-assisted navigation system.

Authors:  Philip C Müller; Caroline Haslebacher; Daniel C Steinemann; Beat P Müller-Stich; Thilo Hackert; Matthias Peterhans; Benjamin Eigl
Journal:  Surg Endosc       Date:  2020-04-06       Impact factor: 4.584

4.  Development and face validation of a virtual camera navigation task trainer.

Authors:  Venkata Arikatla; Sam Horvath; Yaoyu Fu; Lora Cavuoto; Suvranu De; Steve Schwaitzberg; Andinet Enquobahrie
Journal:  Surg Endosc       Date:  2018-10-15       Impact factor: 4.584

5.  A machine learning approach to predict surgical learning curves.

Authors:  Yuanyuan Gao; Uwe Kruger; Xavier Intes; Steven Schwaitzberg; Suvranu De
Journal:  Surgery       Date:  2019-11-18       Impact factor: 3.982

6.  Evaluation of App-Based Serious Gaming as a Training Method in Teaching Chest Tube Insertion to Medical Students: Randomized Controlled Trial.

Authors:  Patrick Haubruck; Felix Nickel; Julian Ober; Tilman Walker; Christian Bergdolt; Mirco Friedrich; Beat Peter Müller-Stich; Franziska Forchheim; Christian Fischer; Gerhard Schmidmaier; Michael C Tanner
Journal:  J Med Internet Res       Date:  2018-05-21       Impact factor: 5.428

Review 7.  Recent evidence on visual-spatial ability in surgical education: A scoping review.

Authors:  Portia Kalun; Krista Dunn; Natalie Wagner; Thejodhar Pulakunta; Ranil Sonnadara
Journal:  Can Med Educ J       Date:  2020-12-07

8.  The role of virtual reality simulation in surgical training in the light of COVID-19 pandemic: Visual spatial ability as a predictor for improved surgical performance: a randomized trial.

Authors:  Guillermo Marcos Sommer; Johannes Broschewitz; Sabine Huppert; Christina Gesine Sommer; Nora Jahn; Boris Jansen-Winkeln; Ines Gockel; Hans-Michael Hau
Journal:  Medicine (Baltimore)       Date:  2021-12-17       Impact factor: 1.817

9.  Rating of camera navigation skills in colorectal surgery.

Authors:  F Huettl; H Lang; M Paschold; F Watzka; N Wachter; B Hensel; W Kneist; Tobias Huber
Journal:  Int J Colorectal Dis       Date:  2020-03-28       Impact factor: 2.571

10.  Higher quality camera navigation improves the surgeon's performance: Evidence from a pre-clinical study.

Authors:  Florentine Huettl; Tobias Huber; Matthias Duwe; Hauke Lang; Markus Paschold; Werner Kneist
Journal:  J Minim Access Surg       Date:  2020 Oct-Dec       Impact factor: 1.407

  10 in total

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