Literature DB >> 29869085

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

T Huber1, M Paschold1, F Schneble1, A Poplawski2, F Huettl1, F Watzka1, H Lang1, W Kneist3.   

Abstract

BACKGROUND: Tools are needed to assess laparoscopic camera navigation (LCN) in the operating room. Here, we aimed to develop an objective rating scale for LCN. STUDY
DESIGN: We defined the following key aspects of LCN: operational field centering, correct angle of the horizon, correct instrument visualization, verbal commands from the operating surgeon, and manual corrections from the operating surgeon. We then developed a score based on intraoperative error evaluation from intraoperative recordings of 80 procedures. Finally, the newly developed score was validated by four different raters using video-based analysis of 20 elective laparoscopic cholecystectomies.
RESULTS: We developed and validated a tool for the structured assessment of laparoscopic assistant skills (SALAS). This score showed good internal consistency, with a Cronbach's alpha of > 0.7. Intraclass correlation revealed a low interrater variability (ICC 0.866) for the total score. Comparison of experienced and inexperienced camera assistants revealed significantly better SALAS scores for experienced assistants (p < 0.05).
CONCLUSION: Our present results show that SALAS score is valid, reliable, and practicable. This score can be used for future investigations of camera navigation efficiency and training.

Entities:  

Keywords:  Camera navigation; Global assessment; Intraoperative performance; Laparoscopic assistance; Surgical education

Mesh:

Year:  2018        PMID: 29869085     DOI: 10.1007/s00464-018-6260-7

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


  16 in total

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2.  A global assessment tool for evaluation of intraoperative laparoscopic skills.

Authors:  Melina C Vassiliou; Liane S Feldman; Christopher G Andrew; Simon Bergman; Karen Leffondré; Donna Stanbridge; Gerald M Fried
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3.  A multicenter prospective cohort study on camera navigation training for key user groups in minimally invasive surgery.

Authors:  Maurits Graafland; Kiki Bok; Henk W R Schreuder; Marlies P Schijven
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4.  Prospective randomized controlled trial of simulator-based versus traditional in-surgery laparoscopic camera navigation training.

Authors:  Florian M Franzeck; Rachel Rosenthal; Markus K Muller; Antonio Nocito; Frauke Wittich; Christine Maurus; Daniel Dindo; Pierre-Alain Clavien; Dieter Hahnloser
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5.  Impact of visual-spatial ability on laparoscopic camera navigation training.

Authors:  Paul J Roch; Henriette M Rangnick; Julia A Brzoska; Laura Benner; Karl-Friedrich Kowalewski; Philip C Müller; Hannes G Kenngott; Beat-Peter Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2017-08-24       Impact factor: 4.584

6.  Ongoing evaluation of video-based assessment of proctors' scoring of the fundamentals of laparoscopic surgery manual skills examination.

Authors:  Deborah M Rooney; Inga C Brissman; Paul G Gauger
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7.  Self-guided robotic camera control for laparoscopic surgery compared with human camera control.

Authors:  K Omote; H Feussner; A Ungeheuer; K Arbter; G Q Wei; J R Siewert; G Hirzinger
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8.  Development and transferability of a cost-effective laparoscopic camera navigation simulator.

Authors:  J R Korndorffer; D J Hayes; J B Dunne; R Sierra; C L Touchard; R J Markert; D J Scott
Journal:  Surg Endosc       Date:  2004-12-23       Impact factor: 4.584

9.  Gaze Contingent Cartesian Control of a Robotic Arm for Laparoscopic Surgery.

Authors:  Kenko Fujii; Antonino Salerno; Kumuthan Sriskandarajah; Ka-Wai Kwok; Kunal Shetty; Guang-Zhong Yang
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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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  8 in total

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3.  Image-based laparoscopic camera steering versus conventional steering: a comparison study.

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Review 4.  Supporting laparoscopic general surgery training with digital technology: The United Kingdom and Ireland paradigm.

Authors:  Gemma Humm; Rhiannon L Harries; Danail Stoyanov; Laurence B Lovat
Journal:  BMC Surg       Date:  2021-03-08       Impact factor: 2.102

5.  Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network-Based Instance Segmentation and Videos of Laparoscopic Procedures.

Authors:  Daichi Kitaguchi; Younae Lee; Kazuyuki Hayashi; Kei Nakajima; Shigehiro Kojima; Hiro Hasegawa; Nobuyoshi Takeshita; Kensaku Mori; Masaaki Ito
Journal:  JAMA Netw Open       Date:  2022-08-01

6.  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
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7.  Toward interprofessional team training for surgeons and anesthesiologists using virtual reality.

Authors:  Vuthea Chheang; Virve Fischer; Holger Buggenhagen; Tobias Huber; Florentine Huettl; Werner Kneist; Bernhard Preim; Patrick Saalfeld; Christian Hansen
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8.  Higher quality camera navigation improves the surgeon's performance: Evidence from a pre-clinical study.

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  8 in total

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