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Farah GJ, Rogers JL, Lopez AM, Brown NJ, Pennington Z, Kuo C, Gold J, Bui NE, Koester SW, Gendreau JL, Diaz-Aguilar LD, Oh MY, Pham MH. Resident Training in Spine Surgery: A Systematic Review of Simulation-Based Educational Models. World Neurosurg 2023; 174:81-115. [PMID: 36921712 DOI: 10.1016/j.wneu.2023.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/14/2023]
Abstract
OBJECTIVE With the increasing prevalence of spine surgery, ensuring effective resident training is becoming of increasing importance. Training safe, competent surgeons relies heavily on effective teaching of surgical indications and adequate practice to achieve a minimum level of technical proficiency before independent practice. American Council of Graduate Medical Education work-hour restrictions have complicated the latter, forcing programs to identify novel methods of surgical resident training. Simulation-based training is one such method that can be used to complement traditional training. The present review aims to evaluate the educational success of simulation-based models in the spine surgical training of residents. METHODS Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the PubMed, Web of Science, and Google Scholar databases were systematically screened for English full-text studies examining simulation-based spine training curricula. Studies were categorized based on simulation model class, including animal-cadaveric, human-cadaveric, physical/3-dimensional, and computer-based/virtual reality. Outcomes studied included participant feedback regarding the simulator and competency metrics used to evaluate participant performance. RESULTS Seventy-two studies were identified. Simulators displayed high face validity and were useful for spine surgery training. Objective measures used to evaluate procedural performance included implant placement evaluation, procedural time, and technical skill assessment, with numerous simulators demonstrating a learning effect. CONCLUSIONS While simulation-based educational models are one potential means of training residents to perform spine surgery, traditional in-person operating room training remains pivotal. To establish the efficacy of simulators, future research should focus on improving study quality by leveraging longitudinal study designs and correlating simulation-based training with clinical outcome measures.
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Affiliation(s)
- Ghassan J Farah
- Department of Neurosurgery, University of California San Diego School of Medicine, San Diego, California, USA
| | - James L Rogers
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Alexander M Lopez
- Department of Neurosurgery, University of California, Irvine, Orange, California, USA
| | - Nolan J Brown
- Department of Neurosurgery, University of California, Irvine, Orange, California, USA
| | - Zach Pennington
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Cathleen Kuo
- Department of Neurological Surgery, University at Buffalo Jacobs SOM, Buffalo, New York, USA
| | - Justin Gold
- Department of Neurological Surgery, Cooper Medical of Rowan University, Camden, New Jersey, USA
| | - Nicholas E Bui
- Department of Neurosurgery, Loma Linda University Medical Center, Loma Linda, California, USA
| | - Stefan W Koester
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Julian L Gendreau
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA
| | - Luis Daniel Diaz-Aguilar
- Department of Neurosurgery, University of California San Diego School of Medicine, San Diego, California, USA
| | - Michael Y Oh
- Department of Neurosurgery, University of California, Irvine, Orange, California, USA
| | - Martin H Pham
- Department of Neurosurgery, University of California San Diego School of Medicine, San Diego, California, USA.
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XR (Extended Reality: Virtual Reality, Augmented Reality, Mixed Reality) Technology in Spine Medicine: Status Quo and Quo Vadis. J Clin Med 2022; 11:jcm11020470. [PMID: 35054164 PMCID: PMC8779726 DOI: 10.3390/jcm11020470] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/01/2022] [Accepted: 01/11/2022] [Indexed: 02/06/2023] Open
Abstract
In recent years, with the rapid advancement and consumerization of virtual reality, augmented reality, mixed reality, and extended reality (XR) technology, the use of XR technology in spine medicine has also become increasingly popular. The rising use of XR technology in spine medicine has also been accelerated by the recent wave of digital transformation (i.e., case-specific three-dimensional medical images and holograms, wearable sensors, video cameras, fifth generation, artificial intelligence, and head-mounted displays), and further accelerated by the COVID-19 pandemic and the increase in minimally invasive spine surgery. The COVID-19 pandemic has a negative impact on society, but positive impacts can also be expected, including the continued spread and adoption of telemedicine services (i.e., tele-education, tele-surgery, tele-rehabilitation) that promote digital transformation. The purpose of this narrative review is to describe the accelerators of XR (VR, AR, MR) technology in spine medicine and then to provide a comprehensive review of the use of XR technology in spine medicine, including surgery, consultation, education, and rehabilitation, as well as to identify its limitations and future perspectives (status quo and quo vadis).
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Patel S, Alkadri S, Driscoll M. Development and Validation of a Mixed Reality Configuration of a Simulator for a Minimally Invasive Spine Surgery Using the Workspace of a Haptic Device and Simulator Users. BIOMED RESEARCH INTERNATIONAL 2021; 2021:2435126. [PMID: 35005014 PMCID: PMC8741356 DOI: 10.1155/2021/2435126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 12/07/2021] [Indexed: 11/18/2022]
Abstract
Most surgical simulators leverage virtual or bench models to simulate reality. This study proposes and validates a method for workspace configuration of a surgical simulator which utilizes a haptic device for interaction with a virtual model and a bench model to provide additional tactile feedback based on planned surgical manoeuvers. Numerical analyses were completed to determine the workspace and position of a haptic device, relative to the bench model, used in the surgical simulator, and the determined configuration was validated using device limitations and user data from surgical and nonsurgical users. For the validation, surgeons performed an identical surgery on a cadaver prior to using the simulator, and their trajectories were then compared to the determined workspace for the haptic device. The configuration of the simulator was determined appropriate through workspace analysis and the collected user trajectories. Statistical analyses suggest differences in trajectories between the participating surgeons which were not affected by the imposed haptic workspace. This study, therefore, demonstrates a method to optimally position a haptic device with respect to a bench model while meeting the manoeuverability needs of a surgical procedure. The validation method identified workspace position and user trajectory towards ideal configuration of a mixed reality simulator.
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Affiliation(s)
- Sneha Patel
- Department of Mechanical Engineering, McGill University, MacDonald Engineering Building, 817 Rue Sherbrooke Ouest #270, Montréal, Québec, Canada H3A 0C3
| | - Sami Alkadri
- Department of Mechanical Engineering, McGill University, MacDonald Engineering Building, 817 Rue Sherbrooke Ouest #270, Montréal, Québec, Canada H3A 0C3
| | - Mark Driscoll
- Department of Mechanical Engineering, McGill University, MacDonald Engineering Building, 817 Rue Sherbrooke Ouest #270, Montréal, Québec, Canada H3A 0C3
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Dhar P, Rocks T, Samarasinghe RM, Stephenson G, Smith C. Augmented reality in medical education: students' experiences and learning outcomes. MEDICAL EDUCATION ONLINE 2021; 26:1953953. [PMID: 34259122 PMCID: PMC8281102 DOI: 10.1080/10872981.2021.1953953] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Augmented reality (AR) is a relatively new technology that allows for digitally generated three-dimensional representations to be integrated with real environmental stimuli. AR can make use of smart phones, tablets, or other devices to achieve a highly stimulating learning environment and hands-on immersive experience. The use of AR in industry is becoming widespread with applications being developed for use not just for entertainment and gaming but also healthcare, retail and marketing, education, military, travel and tourism, automotive industry, manufacturing, architecture, and engineering. Due to the distinct learning advantages that AR offers, such as remote learning and interactive simulations, AR-based teaching programs are also increasingly being adopted within medical schools across the world. These advantages are further highlighted by the current COVID-19 pandemic, which has caused an even greater shift towards online learning. In this review, we investigate the use of AR in medical training/education and its effect on students' experiences and learning outcomes. This includes the main goals of AR-based learning, such as to simplify the delivery and enhance the comprehension of complex information. We also describe how AR can enhance the experiences of medical students, by improving knowledge and understanding, practical skills and social skills. These concepts are discussed within the context of specific AR medical training programs, such as HoloHuman, OculAR SIM, and HoloPatient. Finally, we discuss the challenges of AR in learning and teaching and propose future directions for the use of this technology in medical education.
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Affiliation(s)
- Poshmaal Dhar
- Institute for Innovation in Mental and Physical Health and Clinical Translation, School of Medicine, Faculty of Health, Deakin University, Geelong, Australia
| | - Tetyana Rocks
- Institute for Innovation in Mental and Physical Health and Clinical Translation, Food and Mood Centre, School of Medicine, Faculty of Health, Deakin University, Geelong, Australia
| | - Rasika M Samarasinghe
- Institute for Innovation in Mental and Physical Health and Clinical Translation, School of Medicine, Faculty of Health, Deakin University, Geelong, Australia
| | - Garth Stephenson
- Institute for Innovation in Mental and Physical Health and Clinical Translation, School of Medicine, Faculty of Health, Deakin University, Geelong, Australia
| | - Craig Smith
- Institute for Innovation in Mental and Physical Health and Clinical Translation, School of Medicine, Faculty of Health, Deakin University, Geelong, Australia
- CONTACT Craig Smith School of Medicine, Institute for Innovation in Mental and Physical Health and Clinical Translation, Deakin University, Australia
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Dials J, Demirel D, Halic T, De S, Ryason A, Kundumadam S, Al-Haddad M, Gromski MA. Hierarchical task analysis of endoscopic sleeve gastroplasty. Surg Endosc 2021; 36:5167-5182. [PMID: 34845547 DOI: 10.1007/s00464-021-08893-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 11/16/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Endoscopic sleeve gastroplasty (ESG) is a minimally invasive endoscopic weight loss procedure used to treat obesity. The long-term goal of this project is to develop a Virtual Bariatric Endoscopy (ViBE) simulator for training and assessment of the ESG procedure. The objectives of this current work are to: (a) perform a task analysis of ESG and (b) create metrics to be validated in the created simulator. METHODS We performed a hierarchical task analysis (HTA) by identifying the significant tasks of the ESG procedure. We created the HTA to show the breakdown and connection of the tasks of the procedure. Utilizing the HTA and input from ESG experts, performance metrics were derived for objective measurement of the ESG procedure. Three blinded video raters analyzed seven recorded ESG procedures according to the proposed performance metrics. RESULTS Based on the seven videos, there was a positive correlation between total task times and total performance scores (R = 0.886, P = 0.008). Endoscopists expert were found to be more skilled in reducing the area of the stomach compared to endoscopists novice (34.6% reduction versus 9.4% reduction, P = 0.01). The mean novice performance score was significantly lower than the mean expert performance score (34.7 vs. 23.8, P = 0.047). The inter-rater reliability test showed a perfect agreement among three raters for all tasks except for the suturing task. The suturing task had a significant agreement (Inter-rater Correlation = 0.84, Cronbach's alpha = 0.88). Suturing was determined to be a critical task that is positively correlated with the total score (R = 0.962, P = 0.0005). CONCLUSION The task analysis and metrics development are critical for the development of the ViBE simulator. This preliminary assessment demonstrates that the performance metrics provide an accurate assessment of the endoscopist's performance. Further validation testing and refinement of the performance metrics are anticipated.
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Affiliation(s)
- James Dials
- Department of Computer Science, Florida Polytechnic University, 4700 Research Way, Lakeland, FL, 33805, USA
| | - Doga Demirel
- Department of Computer Science, Florida Polytechnic University, 4700 Research Way, Lakeland, FL, 33805, USA.
| | - Tansel Halic
- Department of Computer Science, University of Central Arkansas, Conway, USA
| | - Suvranu De
- Department of Mechanical, Aerospace and Nuclear Engineering, Rensselear Polytechnic Institute, Troy, USA
| | - Adam Ryason
- Department of Mechanical, Aerospace and Nuclear Engineering, Rensselear Polytechnic Institute, Troy, USA
| | - Shanker Kundumadam
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, USA
| | - Mohammad Al-Haddad
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, USA
| | - Mark A Gromski
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, USA
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Lohre R, Wang JC, Lewandrowski KU, Goel DP. Virtual reality in spinal endoscopy: a paradigm shift in education to support spine surgeons. JOURNAL OF SPINE SURGERY 2020; 6:S208-S223. [PMID: 32195429 DOI: 10.21037/jss.2019.11.16] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Minimally invasive spine surgery (MISS) and endoscopic spine surgery have continually evolving indications in the cervical, thoracic, and lumbar spine. Endoscopic spine surgery entails treatment of disc disease, stenosis, spondylolisthesis, radiculopathy, and deformity. MISS involves complex motor skills in regions of variable anatomy. Simulator use has been proposed to aid in training and skill retention, preoperative planning, and intraoperative use. Methods A systematic review of five databases was performed for publications pertaining to the use of virtual (VR), augmented (AR), and mixed (MR) reality in MISS and spinal endoscopic surgery. Qualitative data analysis was undertaken with focus of study design, quality, and reported outcomes. Study quality was assessed using the Medical Education Research Quality Instrument (MERSQI) score and level of evidence (LoE) by a modified Oxford Centre for Evidence-Based Medicine (OCEBM) level for simulation in medicine. Results Thirty-eight studies were retained for data collection. Studies were of intervention-control, clinical application, and pilot or cross-sectional design. Identified articles illustrated use of VR, AR, and MR in all study designs. Procedures included pedicle cannulation and screw insertion, vertebroplasty, kyphoplasty, percutaneous transforaminal endoscopic discectomy (PTED), lumbar puncture and facet injection, transvertebral anterior cervical foraminotomy (TVACF) and posterior cervical laminoforaminotomy. Overall MERSQI score was low-to-medium [M =9.71 (SD =2.60); range, 4.5-13.5], and LoE was predominantly low given the number of purely descriptive articles, or low-quality randomized studies. Conclusions The current scope of VR, AR, and MR surgical simulators in MISS and spinal endoscopic surgery was described. Studies demonstrate improvement in technical skill and patient outcomes in short term follow-up. Despite this, overall study quality and levels of evidence remain low. Cohesive study design and reporting with focus on transfer validity in training scenarios, and patient derived outcome measures in clinical studies are required to further advance the field.
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Affiliation(s)
- Ryan Lohre
- Department of Orthopaedics, University of British Columbia, Vancouver, BC, USA
| | - Jeffrey C Wang
- USC Spine Center, Keck School of Medicine at University of Southern California, Los Angeles, USA
| | - Kai-Uwe Lewandrowski
- Center for Advanced Spine Care of Southern Arizona and Surgical Institute of Tucson, Tucson, AZ, USA.,Department of Neurosurgery, UNIRIO, Rio de Janeiro, Brazil
| | - Danny P Goel
- Department of Orthopaedics, University of British Columbia, Vancouver, BC, Canada
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Stefan P, Pfandler M, Wucherer P, Habert S, Fürmetz J, Weidert S, Euler E, Eck U, Lazarovici M, Weigl M, Navab N. [Team training and assessment in mixed reality-based simulated operating room : Current state of research in the field of simulation in spine surgery exemplified by the ATMEOS project]. Unfallchirurg 2019; 121:271-277. [PMID: 29546445 DOI: 10.1007/s00113-018-0467-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Surgical simulators are being increasingly used as an attractive alternative to clinical training in addition to conventional animal models and human specimens. Typically, surgical simulation technology is designed for the purpose of teaching technical surgical skills (so-called task trainers). Simulator training in surgery is therefore in general limited to the individual training of the surgeon and disregards the participation of the rest of the surgical team. The objective of the project Assessment and Training of Medical Experts based on Objective Standards (ATMEOS) is to develop an immersive simulated operating room environment that enables the training and assessment of multidisciplinary surgical teams under various conditions. Using a mixed reality approach, a synthetic patient model, real surgical instruments and radiation-free virtual X‑ray imaging are combined into a simulation of spinal surgery. In previous research studies, the concept was evaluated in terms of realism, plausibility and immersiveness. In the current research, assessment measurements for technical and non-technical skills are developed and evaluated. The aim is to observe multidisciplinary surgical teams in the simulated operating room during minimally invasive spinal surgery and objectively assess the performance of the individual team members and the entire team. Moreover, the effectiveness of training methods and surgical techniques or success critical factors, e. g. management of crisis situations, can be captured and objectively assessed in the controlled environment.
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Affiliation(s)
- P Stefan
- Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland.
| | - M Pfandler
- Institut und Poliklinik für Arbeits‑, Sozial- und Umweltmedizin, Klinikum der Universität München, München, Deutschland
| | - P Wucherer
- Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland
| | - S Habert
- Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland
| | - J Fürmetz
- Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland
| | - S Weidert
- Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland
| | - E Euler
- Klinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland
| | - U Eck
- Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland
| | - M Lazarovici
- Institut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, München, Deutschland
| | - M Weigl
- Institut und Poliklinik für Arbeits‑, Sozial- und Umweltmedizin, Klinikum der Universität München, München, Deutschland
| | - N Navab
- Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland
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Sewell JL, Maggio LA, Ten Cate O, van Gog T, Young JQ, O'Sullivan PS. Cognitive load theory for training health professionals in the workplace: A BEME review of studies among diverse professions: BEME Guide No. 53. MEDICAL TEACHER 2019; 41:256-270. [PMID: 30328761 DOI: 10.1080/0142159x.2018.1505034] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
AIM Cognitive load theory (CLT) is of increasing interest to health professions education researchers. CLT has intuitive applicability to workplace settings, yet how CLT should inform teaching, learning, and research in health professions workplaces is unclear. METHOD To map the existing literature, we performed a scoping review of studies involving cognitive load, mental effort and/or mental workload in professional workplace settings within and outside of the health professions. We included actual and simulated workplaces and workplace tasks. RESULT Searching eight databases, we identified 4571 citations, of which 116 met inclusion criteria. Studies were most often quantitative. Methods to measure cognitive load included psychometric, physiologic, and secondary task approaches. Few covariates of cognitive load or performance were studied. Overall cognitive load and intrinsic load were consistently negatively associated with the level of experience and performance. Studies consistently found distractions and other aspects of workplace environments as contributing to extraneous load. Studies outside the health professions documented similar findings to those within the health professions, supporting relevance of CLT to workplace learning. CONCLUSION The authors discuss implications for workplace teaching, curricular design, learning environment, and metacognition. To advance workplace learning, the authors suggest future CLT research should address higher-level questions and integrate other learning frameworks.
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Affiliation(s)
- Justin L Sewell
- a Department of Medicine, Division of Gastroenterology , University of California San Francisco , San Francisco , CA , USA
| | - Lauren A Maggio
- b Department of Medicine , Uniformed Services University of the Health Sciences , Bethesda , MD , USA
| | - Olle Ten Cate
- c Center for Research and Development of Education , University Medical Center Utrecht , Utrecht , Netherlands
- d Department of Medicine, Research and Development in Medical Education , University of California San Francisco , San Francisco , CA , USA
| | - Tamara van Gog
- e Department of Education , Utrecht University , The Netherlands
| | - John Q Young
- f Department of Psychiatry , Zucker School of Medicine at Hofstra/Northwell , Hempstead , NY , USA
| | - Patricia S O'Sullivan
- d Department of Medicine, Research and Development in Medical Education , University of California San Francisco , San Francisco , CA , USA
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Virtual Reality Simulation in Nontechnical Skills Training for Healthcare Professionals. ACTA ACUST UNITED AC 2019; 14:188-194. [DOI: 10.1097/sih.0000000000000347] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Stefan P, Habert S, Winkler A, Lazarovici M, Fürmetz J, Eck U, Navab N. A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery. Int J Comput Assist Radiol Surg 2018; 13:1335-1344. [PMID: 29943226 DOI: 10.1007/s11548-018-1807-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 06/04/2018] [Indexed: 11/29/2022]
Abstract
PURPOSE The discrepancy of continuously decreasing opportunities for clinical training and assessment and the increasing complexity of interventions in surgery has led to the development of different training and assessment options like anatomical models, computer-based simulators or cadaver trainings. However, trainees, following training, assessment and ultimately performing patient treatment, still face a steep learning curve. METHODS To address this problem for C-arm-based surgery, we introduce a realistic radiation-free simulation system that combines patient-based 3D printed anatomy and simulated X-ray imaging using a physical C-arm. To explore the fidelity and usefulness of the proposed mixed-reality system for training and assessment, we conducted a user study with six surgical experts performing a facet joint injection on the simulator. RESULTS In a technical evaluation, we show that our system simulates X-ray images accurately with an RMSE of 1.85 mm compared to real X-ray imaging. The participants expressed agreement with the overall realism of the simulation, the usefulness of the system for assessment and strong agreement with the usefulness of such a mixed-reality system for training of novices and experts. In a quantitative analysis, we furthermore evaluated the suitability of the system for the assessment of surgical skills and gather preliminary evidence for validity. CONCLUSION The proposed mixed-reality simulation system facilitates a transition to C-arm-based surgery and has the potential to complement or even replace large parts of cadaver training, to provide a safe assessment environment and to reduce the risk for errors when proceeding to patient treatment. We propose an assessment concept and outline the steps necessary to expand the system into a test instrument that provides reliable and justified assessments scores indicative of surgical proficiency with sufficient evidence for validity.
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Affiliation(s)
- Philipp Stefan
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.
| | - Séverine Habert
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.
| | - Alexander Winkler
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany
| | - Marc Lazarovici
- Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Julian Fürmetz
- Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Ulrich Eck
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany
| | - Nassir Navab
- Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.,Computer Aided Medical Procedures, Johns Hopkins University, Baltimore, USA
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Dias RD, Ngo-Howard MC, Boskovski MT, Zenati MA, Yule SJ. Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload. Br J Surg 2018; 105:491-501. [PMID: 29465749 PMCID: PMC5878696 DOI: 10.1002/bjs.10795] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 10/09/2017] [Accepted: 11/17/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Surgeons in the operating theatre deal constantly with high-demand tasks that require simultaneous processing of a large amount of information. In certain situations, high cognitive load occurs, which may impact negatively on a surgeon's performance. This systematic review aims to provide a comprehensive understanding of the different methods used to assess surgeons' cognitive load, and a critique of the reliability and validity of current assessment metrics. METHODS A search strategy encompassing MEDLINE, Embase, Web of Science, PsycINFO, ACM Digital Library, IEEE Xplore, PROSPERO and the Cochrane database was developed to identify peer-reviewed articles published from inception to November 2016. Quality was assessed by using the Medical Education Research Study Quality Instrument (MERSQI). A summary table was created to describe study design, setting, specialty, participants, cognitive load measures and MERSQI score. RESULTS Of 391 articles retrieved, 84 met the inclusion criteria, totalling 2053 unique participants. Most studies were carried out in a simulated setting (59 studies, 70 per cent). Sixty studies (71 per cent) used self-reporting methods, of which the NASA Task Load Index (NASA-TLX) was the most commonly applied tool (44 studies, 52 per cent). Heart rate variability analysis was the most used real-time method (11 studies, 13 per cent). CONCLUSION Self-report instruments are valuable when the aim is to assess the overall cognitive load in different surgical procedures and assess learning curves within competence-based surgical education. When the aim is to assess cognitive load related to specific operative stages, real-time tools should be used, as they allow capture of cognitive load fluctuation. A combination of both subjective and objective methods might provide optimal measurement of surgeons' cognition.
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Affiliation(s)
- R D Dias
- STRATUS Center for Medical Simulation, Brigham and Women's Hospital, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
| | - M C Ngo-Howard
- Department of Otolaryngology – Head and Neck Surgery, Boston University School of Medicine, Boston, Massachusetts, USA,Medical Robotics and Computer Assisted Surgery Laboratory, Division of Cardiac Surgery, Veterans Affairs Boston Healthcare System, West Roxbury, Massachusetts, USA
| | - M T Boskovski
- Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
| | - M A Zenati
- Harvard Medical School, Boston, Massachusetts, USA,Medical Robotics and Computer Assisted Surgery Laboratory, Division of Cardiac Surgery, Veterans Affairs Boston Healthcare System, West Roxbury, Massachusetts, USA
| | - S J Yule
- STRATUS Center for Medical Simulation, Brigham and Women's Hospital, Boston, Massachusetts, USA,Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA,Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA,Correspondence to: Dr S. J. Yule, STRATUS Center for Medical Simulation, Brigham and Women's Hospital, 10 Vining Street, Boston, Massachusetts 02115, USA (e-mail: ; @RogerDaglius; @BWH_STRATUS)
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Yagahara A, Yokooka Y, Jiang G, Tsuji S, Fukuda A, Nishimoto N, Kurowarabi K, Ogasawara K. Construction of mammographic examination process ontology using bottom-up hierarchical task analysis. Radiol Phys Technol 2018; 11:73-81. [PMID: 29322305 DOI: 10.1007/s12194-017-0439-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 12/26/2017] [Accepted: 12/28/2017] [Indexed: 10/18/2022]
Abstract
Describing complex mammography examination processes is important for improving the quality of mammograms. It is often difficult for experienced radiologic technologists to explain the process because their techniques depend on their experience and intuition. In our previous study, we analyzed the process using a new bottom-up hierarchical task analysis and identified key components of the process. Leveraging the results of the previous study, the purpose of this study was to construct a mammographic examination process ontology to formally describe the relationships between the process and image evaluation criteria to improve the quality of mammograms. First, we identified and created root classes: task, plan, and clinical image evaluation (CIE). Second, we described an "is-a" relation referring to the result of the previous study and the structure of the CIE. Third, the procedural steps in the ontology were described using the new properties: "isPerformedBefore," "isPerformedAfter," and "isPerformedAfterIfNecessary." Finally, the relationships between tasks and CIEs were described using the "isAffectedBy" property to represent the influence of the process on image quality. In total, there were 219 classes in the ontology. By introducing new properties related to the process flow, a sophisticated mammography examination process could be visualized. In relationships between tasks and CIEs, it became clear that the tasks affecting the evaluation criteria related to positioning were greater in number than those for image quality. We developed a mammographic examination process ontology that makes knowledge explicit for a comprehensive mammography process. Our research will support education and help promote knowledge sharing about mammography examination expertise.
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Affiliation(s)
- Ayako Yagahara
- Faculty of Health Sciences, Hokkaido University of Science, 7-15-4-1 Maeda, Teine-ku, Sapporo, Hokkaido, 006-8585, Japan. .,Faculty of Health Sciences, Hokkaido University, N12W5, Sapporo, 060-0812, Japan.
| | - Yuki Yokooka
- Department of Medical Informatics Section, National Institute of Quantum and Radiological Sciences and Technology, National Institute of Radiological Science Hospital, 4-9-1 Anagawa, Inage-ku, Chiba-shi, Chiba, 263-8555, Japan
| | - Guoqian Jiang
- Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street, SW, Rochester, MN, 55905, USA
| | - Shintarou Tsuji
- Faculty of Health Sciences, Hokkaido University, N12W5, Sapporo, 060-0812, Japan
| | - Akihisa Fukuda
- Department of Radiological Technology, Hokkaido Medical Center, 5-7-1-1 Yamanote, Nisi-ku, Sapporo, Hokkaido, 063-0005, Japan
| | - Naoki Nishimoto
- Clinical Research Support Center, Kagawa University Hospital, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Kunio Kurowarabi
- Department of Radiology, Hokkaido Cancer Society, Kita 26, Higashi 14-1-15 Higashi-ku, Sapporo, Hokkaido, 065-0026, Japan
| | - Katsuhiko Ogasawara
- Faculty of Health Sciences, Hokkaido University, N12W5, Sapporo, 060-0812, Japan
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Pfandler M, Lazarovici M, Stefan P, Wucherer P, Weigl M. Virtual reality-based simulators for spine surgery: a systematic review. Spine J 2017; 17:1352-1363. [PMID: 28571789 DOI: 10.1016/j.spinee.2017.05.016] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 03/06/2017] [Accepted: 05/10/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND CONTEXT Virtual reality (VR)-based simulators offer numerous benefits and are very useful in assessing and training surgical skills. Virtual reality-based simulators are standard in some surgical subspecialties, but their actual use in spinal surgery remains unclear. Currently, only technical reviews of VR-based simulators are available for spinal surgery. PURPOSE Thus, we performed a systematic review that examined the existing research on VR-based simulators in spinal procedures. We also assessed the quality of current studies evaluating VR-based training in spinal surgery. Moreover, we wanted to provide a guide for future studies evaluating VR-based simulators in this field. STUDY DESIGN AND SETTING This is a systematic review of the current scientific literature regarding VR-based simulation in spinal surgery. METHODS Five data sources were systematically searched to identify relevant peer-reviewed articles regarding virtual, mixed, or augmented reality-based simulators in spinal surgery. A qualitative data synthesis was performed with particular attention to evaluation approaches and outcomes. Additionally, all included studies were appraised for their quality using the Medical Education Research Study Quality Instrument (MERSQI) tool. RESULTS The initial review identified 476 abstracts and 63 full texts were then assessed by two reviewers. Finally, 19 studies that examined simulators for the following procedures were selected: pedicle screw placement, vertebroplasty, posterior cervical laminectomy and foraminotomy, lumbar puncture, facet joint injection, and spinal needle insertion and placement. These studies had a low-to-medium methodological quality with a MERSQI mean score of 11.47 out of 18 (standard deviation=1.81). CONCLUSIONS This review described the current state and applications of VR-based simulator training and assessment approaches in spinal procedures. Limitations, strengths, and future advancements of VR-based simulators for training and assessment in spinal surgery were explored. Higher-quality studies with patient-related outcome measures are needed. To establish further adaptation of VR-based simulators in spinal surgery, future evaluations need to improve the study quality, apply long-term study designs, and examine non-technical skills, as well as multidisciplinary team training.
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Affiliation(s)
- Michael Pfandler
- Institute and Outpatient Clinic for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University Munich, Ziemssenstrasse 1, Munich D-80336, Germany.
| | - Marc Lazarovici
- Institute for Emergency Medicine and Management in Medicine (INM), Ludwig-Maximilians-University Munich, Schillerstraße 53, Munich D-80336, Germany
| | - Philipp Stefan
- Computer Aided Medical Procedures, (CAMP), Computer Science Department (I-16), Technical University of Munich, Boltzmannstraße 3, Garching bei München D-85748, Germany
| | - Patrick Wucherer
- Computer Aided Medical Procedures, (CAMP), Computer Science Department (I-16), Technical University of Munich, Boltzmannstraße 3, Garching bei München D-85748, Germany
| | - Matthias Weigl
- Institute and Outpatient Clinic for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University Munich, Ziemssenstrasse 1, Munich D-80336, Germany
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Personalized, relevance-based Multimodal Robotic Imaging and augmented reality for Computer Assisted Interventions. Med Image Anal 2016; 33:64-71. [PMID: 27475417 DOI: 10.1016/j.media.2016.06.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 06/12/2016] [Accepted: 06/15/2016] [Indexed: 11/21/2022]
Abstract
In the last decade, many researchers in medical image computing and computer assisted interventions across the world focused on the development of the Virtual Physiological Human (VPH), aiming at changing the practice of medicine from classification and treatment of diseases to that of modeling and treating patients. These projects resulted in major advancements in segmentation, registration, morphological, physiological and biomechanical modeling based on state of art medical imaging as well as other sensory data. However, a major issue which has not yet come into the focus is personalizing intra-operative imaging, allowing for optimal treatment. In this paper, we discuss the personalization of imaging and visualization process with particular focus on satisfying the challenging requirements of computer assisted interventions. We discuss such requirements and review a series of scientific contributions made by our research team to tackle some of these major challenges.
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Li S, Yao J, Navab N. Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention. IEEE TRANSACTIONS ON MEDICAL IMAGING 2015; 34:1625-1626. [PMID: 26465019 DOI: 10.1109/tmi.2015.2456376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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Intra-operative disruptions, surgeon's mental workload, and technical performance in a full-scale simulated procedure. Surg Endosc 2015; 30:559-566. [PMID: 26091986 DOI: 10.1007/s00464-015-4239-1] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Accepted: 05/14/2015] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND AIM Surgical flow disruptions occur frequently and jeopardize perioperative care and surgical performance. So far, insights into subjective and cognitive implications of intra-operative disruptions for surgeons and inherent consequences for performance are inconsistent. This study aimed to investigate the effect of surgical flow disruption on surgeon's intra-operative workload and technical performance. METHODS In a full-scale OR simulation, 19 surgeons were randomly allocated to either of the two disruption scenarios (telephone call vs. patient discomfort). Using a mixed virtual reality simulator with a computerized, high-fidelity mannequin, all surgeons were trained in performing a vertebroplasty procedure and subsequently performed such a procedure under experimental conditions. Standardized measures on subjective workload and technical performance (trocar positioning deviation from expert-defined standard, number, and duration of X-ray acquisitions) were collected. RESULTS Intra-operative workload during simulated disruption scenarios was significantly higher compared to training sessions (p < .01). Surgeons in the telephone call scenario experienced significantly more distraction compared to their colleagues in the patient discomfort scenario (p < .05). However, workload tended to be increased in surgeons who coped with distractions due to patient discomfort. Technical performance was not significantly different between both disruption scenarios. We found a significant association between surgeons' intra-operative workload and technical performance such that surgeons with increased mental workload tended to perform worse (β = .55, p = .04). CONCLUSIONS Surgical flow disruptions affect surgeons' intra-operative workload. Increased mental workload was associated with inferior technical performance. Our simulation-based findings emphasize the need to establish smooth surgical flow which is characterized by a low level of process deviations and disruptions.
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