Innovations in surgery simulation: a review of past, current and future techniques

Badash, Ido; Burtt, Karen E.; Solorzano, Carlos A.; Carey, Joseph N.

doi:10.21037/atm.2016.12.24

Cited by 253 publications

(203 citation statements)

References 70 publications

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“…15,58 Although VR and AR systems have been heavily marketed for entertainment, they have proved useful during surgical training by providing increasingly realistic simulations of simple and complex procedures. 4 This allows residents to better practice surgical techniques before operating on a living patient. Furthermore, residents can gain valuable exposure to rare and difficult case scenarios while still in training.…”

Section: Figmentioning

confidence: 99%

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Madhavan¹,

Kolcun²,

Chieng³

et al. 2017

Neurosurgical Focus

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Surgical robots have captured the interest—if not the widespread acceptance—of spinal neurosurgeons. But successful innovation, scientific or commercial, requires the majority to adopt a new practice. “Faster, better, cheaper” products should in theory conquer the market, but often fail. The psychology of change is complex, and the “follow the leader” mentality, common in the field today, lends little trust to the process of disseminating new technology. Beyond product quality, timing has proven to be a key factor in the inception, design, and execution of new technologies. Although the first robotic surgery was performed in 1985, scant progress was seen until the era of minimally invasive surgery. This movement increased neurosurgeons’ dependence on navigation and fluoroscopy, intensifying the drive for enhanced precision. Outside the field of medicine, various technology companies have made great progress in popularizing co-robots (“cobots”), augmented reality, and processor chips. This has helped to ease practicing surgeons into familiarity with and acceptance of these technologies. The adoption among neurosurgeons in training is a “follow the leader” phenomenon, wherein new surgeons tend to adopt the technology used during residency. In neurosurgery today, robots are limited to computers functioning between the surgeon and patient. Their functions are confined to establishing a trajectory for navigation, with task execution solely in the surgeon’s hands. In this review, the authors discuss significant untapped technologies waiting to be used for more meaningful applications. They explore the history and current manifestations of various modern technologies, and project what innovations may lie ahead.

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Section: Figmentioning

confidence: 99%

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Madhavan¹,

Kolcun²,

Chieng³

et al. 2017

Neurosurgical Focus

View full text Add to dashboard Cite

show abstract

“…They provide haptic feedback to users according to their handlings, and most of them have assessment systems that measure parameters such as the time to complete a task, the errors made during surgery, and the surgeon's economy of movements. They can have both "task trainer" modules, for training in more simple and abstract handlings, and also "complete operation" modules that simulate the whole operating procedure [18]. They seem to benefit the novices, especially when intensive feedback by the instructor is applied [19].…”

Section: Laparoscopic Surgerymentioning

confidence: 99%

“…It can be adjusted to six difficulty levels, and it can teach basic laparoscopic skills like suturing and knot tying. It is a low-fidelity simulator that does not support force-feedback function [18,20]. It has demonstrated construct validity but controversial transferability of skills [21,22].…”

Section: Minimally Invasive Surgical Trainer-virtual Reality (Mist-vrmentioning

confidence: 99%

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Virtual and Augmented Reality in Medical Education

Pantelidis¹,

Chorti²,

Papagiouvanni³

et al. 2018

Medical and Surgical Education - Past, Present and Future

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Virtual reality (VR) and augmented reality (AR) are two contemporary simulation models that are currently upgrading medical education. VR provides a 3D and dynamic view of structures and the ability of the user to interact with them. The recent technological advances in haptics, display systems, and motion detection allow the user to have a realistic and interactive experience, enabling VR to be ideal for training in hands-on procedures. Consequently, surgical and other interventional procedures are the main fields of application of VR. AR provides the ability of projecting virtual information and structures over physical objects, thus enhancing or altering the real environment. The integration of AR applications in the understanding of anatomical structures and physiological mechanisms seems to be beneficial. Studies have tried to demonstrate the validity and educational effect of many VR and AR applications, in many different areas, employed via various hardware platforms. Some of them even propose a curriculum that integrates these methods. This chapter provides a brief history of VR and AR in medicine, as well as the principles and standards of their function. Finally, the studies that show the effect of the implementation of these methods in different fields of medical training are summarized and presented.

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“…It presents the potential for surgeons to practice the surgical procedure preoperatively using VR simulator with the precise anatomy structure and its dynamics for an individual patient [46]. This concept would improve the accuracy of diagnosis and treatment, enhance the predictability of VR based surgery simulation framework, and raise the patient care [4,40,44]. In recent years, several surgical systems in laparoscopic nephrectomy [38], wrist joint [18,19], hepatectomy and pancreatectomy [17] have combined the patient specific characteristics into the simulator.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality Surgery Simulation: A Survey on Patient Specific Solution

Zhang

Chang

Yang

et al. 2017

Next Generation Computer Animation Techniques

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Abstract. For surgeons, the precise anatomy structure and its dynamics are important in the surgery interaction, which is critical for generating the immersive experience in VR based surgical training applications. Presently, a normal therapeutic scheme might not be able to be straightforwardly applied to a specific patient, because the diagnostic results are based on averages, which result in a rough solution. Patient Specific Modeling (PSM), using patient-specific medical image data (e.g. CT, MRI, or Ultrasound), could deliver a computational anatomical model. It provides the potential for surgeons to practice the operation procedures for a particular patient, which will improve the accuracy of diagnosis and treatment, thus enhance the prophetic ability of VR simulation framework and raise the patient care. This paper presents a general review based on existing literature of patient specific surgical simulation on data acquisition, medical image segmentation, computational mesh generation, and soft tissue real time simulation.

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Innovations in surgery simulation: a review of past, current and future techniques

Cited by 253 publications

References 70 publications

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Augmented-reality integrated robotics in neurosurgery: are we there yet?

Virtual and Augmented Reality in Medical Education

Virtual Reality Surgery Simulation: A Survey on Patient Specific Solution

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