Validation of a Novel Virtual Reality Simulator for Robotic Surgery

Schreuder, Henk W.R.; Wolswijk, R.G.; Persson, Johanna; Ihse, I.; Schijven, Marlies P.; Verheijen, R

doi:10.1016/j.jmig.2011.08.044

Cited by 7 publications

(9 citation statements)

References 33 publications

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“…With regard to content validity, it widely refers to experts’ judgement towards the learning content and tasks of a simulator [ 14 , 17 , 27 – 29 ]. Nevertheless, many published studies rely on subjects with different levels of experience in evaluating content validity of a simulator [ 12 , 13 , 22 , 30 – 32 ].…”

Section: Introductionmentioning

confidence: 99%

Face and content validity of the virtual reality simulator ‘ScanTrainer®’

et al. 2017

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Background: Ultrasonography is a first-line imaging in the investigation of women's irregular bleeding and other gynaecological pathologies, e.g. ovarian cysts and early pregnancy problems. However, teaching ultrasound, especially transvaginal scanning, remains a challenge for health professionals. New technology such as simulation may potentially facilitate and expedite the process of learning ultrasound. Simulation may prove to be realistic, very close to real patient scanning experience for the sonographer and objectively able to assist the development of basic skills such as image manipulation, hand-eye coordination and examination technique. Objective: The aim of this study was to determine the face and content validity of a virtual reality simulator (ScanTrainer®, MedaPhor plc, Cardiff, Wales, UK) as reflective of real transvaginal ultrasound (TVUS) scanning. Method: A questionnaire with 14 simulator-related statements was distributed to a number of participants with differing levels of sonography experience in order to determine the level of agreement between the use of the simulator in training and real practice. Results: There were 36 participants: novices (n = 25) and experts (n = 11) who rated the simulator. Median scores of face validity statements between experts and non-experts using a 10-point visual analogue scale (VAS) ratings ranged between 7.5 and 9.0 (p > 0.05) indicated a high level of agreement. Experts' median scores of content validity statements ranged from 8.4 to 9.0. Conclusions: The findings confirm that the simulator has the feel and look of real-time scanning with high face validity. Similarly, its tutorial structures and learning steps confirm the content validity.

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Section: Introductionmentioning

confidence: 99%

Face and content validity of the virtual reality simulator ‘ScanTrainer®’

et al. 2017

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“…Ideally the surgeon, fellow or resident of thoracic surgery, who initially acts as a bedside assistant, progresses to being console surgeon. As several studies have shown the benefits of simulation (13,14), we state that working on the simulator to achieve proficiency should be compulsory before the trainee is allowed to move to the console.…”

Section: (I) Ascertain a Long-term Plan To Implement Robotic Thoracicmentioning

confidence: 99%

Training in robotic thoracic surgery—the European way

Shahin

Bruinsma

Stamenkovic

et al. 2019

Ann. Cardiothorac. Surg.

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The increasing demand for robot-assisted thoracic surgery (RATS) in Europe requires a structured and standardized training module. Until now, Intuitive Surgical Inc. (Sunnyvale, CA, USA) has delivered the only available robotic surgery platform. Although the training program that is organized by Intuitive is divided in an initial and an advanced course, the success of the training depends on many external factors. Until now the training focused on experienced thoracic surgeons. The aim of this article is to offer a stepwise training module, which can be adopted by experienced open (thoracotomy) surgeons or video-assisted thoracic (VATS) surgeons but is primarily meant for thoracic surgery fellows and residents, as it is our sincere opinion that we should focus on training for this type of surgery as early in their careers as possible. In order to maintain surgical technique and minimize the chance of complications, ongoing training and certification of the surgeons and the team is deemed necessary.

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“…As a result, the learning curve for robotic laparoscopic surgery is much shorter [22][23][24][25]. While manual laparoscopy is still a required training, there have been studies in comparing the use of surgical robots by surgeons experience or inexperience with manual laparoscopy [26,66,67].…”

Section: Innovations For Accessibility: Sil and Notesmentioning

confidence: 99%

The Next-Generation Surgical Robots

Wang¹,

Liu²,

Peng³

et al. 2018

Surgical Robotics

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The chronicle of surgical robots is short but remarkable. Within 20 years since the regulatory approval of the irst surgical robot, more than 3,000 units were installed worldwide, and more than half a million robotic surgical procedures were carried out in the past year alone. The exceptionally high speeds of market penetration and expansion to new surgical areas had raised technical, clinical, and ethical concerns. However, from a technological perspective, surgical robots today are far from perfect, with a list of improvements expected for the next-generation systems. On the other hand, robotic technologies are lourishing at ever-faster paces. Without the inherent conservation and safety requirements in medicine, general robotic research could be substantially more agile and explorative. As a result, various technical innovations in robotics developed in recent years could potentially be grafted into surgical applications and ignite the next major advancement in robotic surgery. In this article, the current generation of surgical robots is reviewed from a technological point of view, including three of possibly the most debated technical topics in surgical robotics: vision, haptics, and accessibility. Further to that, several emerging robotic technologies are highlighted for their potential applications in next-generation robotic surgery.

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Validation of a Novel Virtual Reality Simulator for Robotic Surgery

Cited by 7 publications

References 33 publications

Face and content validity of the virtual reality simulator ‘ScanTrainer®’

Face and content validity of the virtual reality simulator ‘ScanTrainer®’

Training in robotic thoracic surgery—the European way

The Next-Generation Surgical Robots

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