Skip to main content

Simulation Training in Interventional Radiology

  • Chapter
  • First Online:
IR Playbook

Abstract

Medical education and training are the foundation of good clinical practice; in this regard, simulation and virtual training machinery now seek to facilitate increased task proficiency to improve patient safety, reduce medical errors, and enhance professional communication and team management skills. IR simulation is a safe, and well-established training modality which offers a huge number of scenarios (US guidance, biopsies, drainages, variety of endovascular interventions, endovascular stroke management and more) for practicing a wide array of procedural and non-procedural skills and has a potential to revolutionize clinical skills training in IR. In the future, complex procedures could be evaluated by virtual and augmented reality, and in some cases could be followed by 3D printing of models for rehearsal in order to find patient-specific, optimal technique.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Desser TS. Simulation-based training: the next revolution in radiology education? JACR. 2007;4(11):816–24.

    PubMed  Google Scholar 

  2. Gould D, Patel A, Becker G, Connors B, Cardella J, Dawson S, et al. SIR/RSNA/CIRSE joint medical simulation task force strategic plan: executive summary. Cardiovasc Intervent Radiol. 2007;30(4):551–4.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Center for Devices and Radiological Health, Medical Devices Advisory Committee, Circulatory System Devices Panel meeting 2004. Available at: http://www.fda.gov/ohrms/dockets/ac/04/transcripts/4033t1.htm. Accessed 1 Jan 2016.

  4. Holland EG, Degruy FV. Drug-induced disorders. Am Fam Physician. 1997;56(7):1781–8.

    PubMed  CAS  Google Scholar 

  5. Top 10 death causes, IOM, 99 2015. www.who.int/mediacentre/factsheets/fs310/en/.

  6. Health Grades, Inc. Patient Safety in American Hospitals. 2004.

    Google Scholar 

  7. Rodriguez-Paz JM, Kennedy M, Salas E, Wu AW, Sexton JB, Hunt EA, et al. Beyond “see one, do one, teach one”: toward a different training paradigm. Qual Saf Health Care. 2009;18(1):63–8.

    PubMed  CAS  Google Scholar 

  8. Hunta A, Ristolainena A, Ross P, Öpika R, Krummeb A, Kruusmaa M. Low cost anatomically realistic renal biopsy phantoms for interventional radiology trainees. Eur J Radiol. 2013;82:594–600.

    Article  Google Scholar 

  9. Dawson S. Procedural simulation: a primer. Radiology. 2006;241(1):17–25.

    Article  PubMed  Google Scholar 

  10. Neequaye SK, Aggarwal R, Van Herzeele I, Darzi A, Cheshire NJ. Endovascular skills training and assessment. J Vasc Surg. 2007;46(5):1055–64.

    Article  PubMed  Google Scholar 

  11. Mendiratta-Lala M, Williams T, de Quadros N, Bonnett J, Mendiratta V. The use of a simulation center to improve resident proficiency in performing ultrasound-guided procedures. Acad Radiol. 2010;17(4):535–40.

    Article  PubMed  Google Scholar 

  12. Andreatta P, Chen Y, Marsh M, Cho K. Simulation-based training improves applied clinical placement of ultrasound-guided PICCs. Support Care Cancer. 2011;19(4):539–43.

    Article  PubMed  Google Scholar 

  13. Berry M, Lystig T, Beard J, Klingestierna H, Reznick R, Lonn L. Porcine transfer study: virtual reality simulator training compared with porcine training in endovascular novices. Cardiovasc Intervent Radiol. 2007;30(3):455–61.

    Article  PubMed  Google Scholar 

  14. Johnson SJ, Guediri SM, Kilkenny C, Clough PJ. Development and validation of a virtual reality simulator: human factors input to interventional radiology training. Hum Factors. 2011;53(6):612–25.

    Article  PubMed  Google Scholar 

  15. Aggarwal R, Black SA, Hance JR, Darzi A, Cheshire NJ. Virtual reality simulation training can improve inexperienced surgeons’ endovascular skills. Eur J Vasc Endovasc Surg. 2006;31(6):588–93.

    Article  CAS  PubMed  Google Scholar 

  16. Patel AA, Gould DA. Simulators in interventional radiology training and evaluation: a paradigm shift is on the horizon. JVIR. 2006;17(11 Pt2):S163–73.

    Article  PubMed  Google Scholar 

  17. Chaer RA, Derubertis BG, Lin SC, Bush HL, Karwowski JK, Birk D, et al. Simulation improves resident performance in catheter based intervention: results of a randomized, controlled study. Ann Surg. 2006;244(3):343–52.

    PubMed  PubMed Central  Google Scholar 

  18. Glaiberman CB, Jacobs B, Street M, Duncan JR, Scerbo MW, Pilgrim TK. Simulation in training: one-year experience using an efficiency index to assess interventional radiology fellow training status. JVIR. 2008;19(9):1366–71.

    Article  PubMed  Google Scholar 

  19. Lee JT, Qiu M, Teshome M, Raghavan SS, Tedesco MM, Dalman RL. The utility of endovascular simulation to improve technical performance and stimulate continued interest of preclinical medical students in vascular surgery. J Surg Edu. 2009;66(6):367–73.

    Article  Google Scholar 

  20. Dayal R, Faries PL, Lin SC, Bernheim J, Hollenbeck S, DeRubertis B, et al. Computer simulation as a component of catheter-based training. J Vasc Surg. 2004;40(6):1112–7.

    Article  PubMed  Google Scholar 

  21. Powell DK, Jamison DK, Silberzweig JE. An endovascular simulation exercise among radiology residents: comparison of simulation performance with and without practice. Clin Imaging. 2015;39(6):1080–5.

    Article  PubMed  Google Scholar 

  22. Willaert WI, Aggarwal R, Daruwalla F, Van Herzeele I, Darzi AW, Vermassen FE, et al. Simulated procedure rehearsal is more effective than a preoperative generic warm-up for endovascular procedures. Ann Surg. 2012;255(6):1184–9.

    Article  PubMed  Google Scholar 

  23. Willaert W, Aggarwal R, Harvey K, Cochennec F, Nestel D, Darzi A, et al. Efficient implementation of patient-specific simulated rehearsal for the carotid artery stenting procedure: part-task rehearsal. Eur J Vasc Endovasc Surg. 2011;42(2):158–66.

    Article  CAS  PubMed  Google Scholar 

  24. Willaert WI, Aggarwal R, Van Herzeele I, O’Donoghue K, Gaines PA, Darzi AW, et al. Patient-specific endovascular simulation influences interventionalists performing carotid artery stenting procedures. Eur J Vasc Endovasc Surg. 2011;41(4):492–500.

    Article  CAS  PubMed  Google Scholar 

  25. Chang DR, Lin RP, Bowe S, Bunegin L, Weitzel EK, McMains KC, Willson T, Chen PG. Fabrication and validation of a low-cost, medium-fidelity silicone injection molded endoscopic sinus surgery simulation model. Laryngoscope. 2017;127(4):781–6. Epub ahead of print 2016 Dec 21.

    Article  PubMed  Google Scholar 

  26. Bassil A, Rubod C, Borghesi Y, Kerbage Y, Schreiber ES, Azaïs H, Garabedian C. Operative and diagnostic hysteroscopy: a novel learning model combining new animal models and virtual reality simulation. Eur J Obstet Gynecol Reprod Biol. 2017;211:42–7.

    Article  PubMed  Google Scholar 

  27. Aydin A, Raison N, Khan MS, Dasgupta P, Ahmed K. Simulation-based training and assessment in urological surgery. Nat Rev Urol. 2016;13(9):503–19. Epub 2016 Aug 23.

    Article  PubMed  Google Scholar 

  28. Desender L, Van Herzeele I, Lachat M, Duchateau J, Bicknell C, Teijink J, et al. A multicentre trial of patient specific rehearsal prior to EVAR: impact on procedural planning and team performance. Eur J VascEndovasc Surg. 2017;53(3):354–61. Epub ahead of print 2017 Jan 20

    Article  CAS  Google Scholar 

  29. Saratzis A, Calderbank T, Sidloff D, Bown MJ, Davies RS. Role of simulation in endovascular aneurysm repair (EVAR) training: a preliminary study. Eur J Vasc Endovasc Surg. 2017;53(2):193–8.

    Article  CAS  PubMed  Google Scholar 

  30. Stahlberg E, Planert M, Panagiotopoulos N, Horn M, Wiedner M, Kleemann M, et al. Pre-operative simulation of the appropriate C-arm position using computed tomography post-processing software reduces radiation and contrast medium exposure during EVAR procedures. Eur J Vasc Endovasc Surg. 2017;53(2):269–74.

    Article  CAS  PubMed  Google Scholar 

  31. Kim AH, Kendrick DE, Moorehead PA, Nagavalli A, Miller CP, Liu NT, et al. Endovascular aneurysm repair simulation can lead to decreased fluoroscopy time and accurately delineate the proximal seal zone. J Vasc Surg. 2016;64(1):251–8.

    Article  PubMed  Google Scholar 

  32. Miller GE. The assessment of clinical skills/competence/performance. Acad Med. 1990;65(9):S63–7.

    Article  CAS  PubMed  Google Scholar 

  33. Ahmed K, Keeling AN, Fakhry M, Ashrafian H, Aggarwal R, Naughton PA, et al. Role of virtual reality simulation in teaching and assessing technical skills in endovascular intervention. JVIR. 2010;21(1):55–66.

    Article  PubMed  Google Scholar 

  34. Boulet JR, Murray DJ. Simulation-based assessment in anesthesiology. Anesthesiology. 2010;112(4):1041–52.

    Article  PubMed  Google Scholar 

  35. Bagai A, O’Brien S, Al Lawati H, Goyal P, Ball W, Grantcharov T, et al. Mentored simulation training improves procedural skills in cardiac catheterization: a randomized, controlled pilot study. Circ Cardiovasc Interv. 2012;5(5):672–9.

    Article  PubMed  Google Scholar 

  36. Hseino H, Nugent E, Lee MJ, Hill AD, Neary P, Tierney S, et al. Skills transfer after proficiency-based simulation training in superficial femoral artery angioplasty. Simul Health. 2012;7(5):274–81.

    Article  Google Scholar 

  37. Seagull FJ, Rooney DM. Filling a void: developing a standard subjective assessment tool for surgical simulation through focused review of current practices. Surgery. 2014;156(3):718–22.

    Article  PubMed  Google Scholar 

  38. Chew FS. Section editor’s notebook: sedation simulation. AJR. 2013;201(5):940.

    Article  PubMed  Google Scholar 

  39. Medina LS, Racadio JM, Schwid HA. Computers in radiology. The sedation, analgesia, and contrast media computerized simulator: a new approach to train and evaluate radiologists’ responses to critical incidents. Pediatr Radiol. 2000;30(5):299–305.

    Article  CAS  PubMed  Google Scholar 

  40. Boulet JR, Murray D. Review article: assessment in anesthesiology education. Can J Anaesth. 2012;59(2):182–92.

    Article  PubMed  Google Scholar 

  41. Picard M, Curry N, Collins H, Soma L, Hill J. Comparison of high-fidelity simulation versus didactic instruction as a reinforcement intervention in a comprehensive curriculum for radiology trainees in learning contrast reaction management: does it matter how we refresh? Acad Radiol. 2015;22(10):1268–76.

    Article  PubMed  Google Scholar 

  42. Bakker NH, Tanase D, Reekers JA, Grimbergen CA. Evaluation of vascular and interventional procedures with time–action analysis: a pilot study. J Vasc Intervent Radiol. 2002;13(5):483–8.

    Article  Google Scholar 

  43. Duncan JR, Kline B, Glaiberman CB. Analysis of simulated angiographic procedures. Part 2: extracting efficiency data from audio and video recordings. JVIR. 2007;18(4):535–44.

    Article  PubMed  Google Scholar 

  44. Van Herzeele I, Aggarwal R, Malik I, Gaines P, Hamady M, Darzi A, et al. Validation of video-based skill assessment in carotid artery stenting. Eur J Vasc Endovasc Surg. 2009;38(1):1–9.

    Article  PubMed  Google Scholar 

  45. Klass D, Tam MD, Cockburn J, Williams S, Toms AP. Training on a vascular interventional simulator: an observational study. Eur Radiol. 2008;18(12):2874–8.

    Article  PubMed  Google Scholar 

  46. Johnson SJ, Hunt CM, Woolnough HM, Crawshaw M, Kilkenny C, Gould DA, et al. Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination. Br J Radiol. 2012;85(1013):555–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Weisz G, Devaud J, Ramee S, Reisman M, Gray W. The use of interventional cardiovascular simulation to evaluate operator performance: the carotid assessment of operator performance by the Simbionix Carotid StEnting Simulator Study (ASSESS). J Soc Simul Healthc. 2007;2(1):81.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bartal, G., Rundback, J.H. (2018). Simulation Training in Interventional Radiology. In: Keefe, N., Haskal, Z., Park, A., Angle, J. (eds) IR Playbook. Springer, Cham. https://doi.org/10.1007/978-3-319-71300-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71300-7_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71299-4

  • Online ISBN: 978-3-319-71300-7

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics