The Role of Simulation in Training Endovascular Interventions

European Journal of Vascular and Endovascular Surgery

Volumn 35, Issue 6, 2008, Pages 633-636

  Gould, D A ^a   Reekers, J A ^b  

^a ROYAL LIVERPOOL UNIVERSITY HOSPITAL   (United Kingdom)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CURRICULUM; EDITORIAL; ENDOVASCULAR SURGERY; MEDICAL EDUCATION; PRIORITY JOURNAL; SIMULATION;

ANIMALS; CLINICAL COMPETENCE; COMPETENCY-BASED EDUCATION; COMPUTER SIMULATION; CURRICULUM; EDUCATION, MEDICAL, GRADUATE; HUMANS; MODELS, ANIMAL; PATIENT SIMULATION; PROGRAM EVALUATION; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; VASCULAR SURGICAL PROCEDURES;

EID: 43749123017     PISSN: 10785884     EISSN: 15322165     Source Type: Journal    
DOI: 10.1016/j.ejvs.2008.01.008     Document Type: Editorial

References (34)

1. Structured training in clinical radiology. 4th ed. (September 2004), Education Board of the Faculty of Clinical Radiology, the Royal College of Radiologists, London
2. Dankeman J., Chmarra M.K., Verdaasdonk E.G.G., Stassen L.P.S., and Grimbergen C.A. Fundamental aspects of learning minimally invasive surgical skills - review. Minim Invasive Ther Allied Technol 14 (2005) 247-256
3. IDS working time. European Working Time Directive: the full text of the directive. [accessed 04.05.06].
4. Department of Trade and Industry Working Time Regulations. [accessed 04.05.06].
5. Bridges M., and Diamond D.L. The financial impact of training surgical residents in the operating room. Am J Surg 177 (1999) 28-32
6. Crofts T.J., Griffiths J.M., Sharma S., Wygrala J., and Aitken R.J. Surgical training: an objective assessment of recent changes for a single health board. BMJ 314 (Mar 1997) 891
7. Brehmer M., and Tolley D.A. Validation of a bench model for endoscopic surgery in the upper urinary tract. Eur Urol 42 (2002) 175-180
8. Chong C.K., How T.V., Black R.A., Shortland A.P., and Harris P.L. Development of a simulator for endovascular repair of abdominal aortic aneurysms. Ann Biomed Eng 26 (1998) 798-802
9. Lunderquist A., Ivancev K., Wallace S., Enge I., Laerum F., and Kolbenstvedt A.N. The acquisition of skills in interventional radiology by supervised training on animal models: a three year multicentre experience. Cardiovasc Intervent Radiol 18 (1995) 209-211
10. Dondelinger R.F., Ghysels M.P., Brisbois D., Donkers E., Snaps F.R., Saunders L., et al. Relevant radiological anatomy of the pig as a training model in interventional radiology. Eur Radiol 8 (1998) 1254-1273
11. Issenberg S.B., McGaghie W.C., Petrusa E.R., Lee Cordon D., and Scalese R.J. Features and uses of high fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach 27 (2005) 10-28
12. Dawson S. Procedural simulation: a primer. J Vasc Interv Radiol 17 2 Pt 1 (Feb 2006) 205-213
13. Hsu J.H., Younan D., Pandalai S., Gillespie B.T., Jain R.A., Schippert D.W., et al. Use of computer simulation for determining endovascular skill levels in a carotid stenting model. J Vasc Surg 40 (2004) 1118-1124
14. Dayal R., Faries P.L., Lin S.C., Bernheim J., Hollenbeck S., DeRubertis B., et al. Computer simulation as a component of catheter based training. J Vasc Surg 40 (2004) 1112-1117
15. Neequaye S.K., Aggarwal R., Brightwell R., Van Herzeele I., Darzi A., and Cheshire N.J. Identification of skills common to renal and iliac endovascular procedures performed on a virtual reality simulator. [Journal Article. Randomized Controlled Trial]. Eur J Vasc Endovasc Surg 33 5 (2007 May) 525-532
16. Chaer R.A., DeRubertis B.G., Lin S.C., Bush H.L., Karowski J.K., Birk D., et al. Simulation improves resident performance in catheter based intervention. Ann Surg 244 3 (2006) 343-349
17. Gould D.A., Reekers J.A., Kessel D.O., Chalmers N.C., Sapoval M., Patel A.A., et al. Simulation devices in interventional radiology: validation pending. J Vasc Interv Radiol 17 (2006) 215-216
18. Seymour N.E., Gallagher A.G., Roman S.A., O`Brein M.K., Bansal V.K., Andersen D.K., et al. Virtual reality training improves operating room performance: results of a randomised, double-blinded study. Yale University & Queen's University, Belfast. Ann Surg 236 (2002) 458-463 [discussion 463-4]
19. Sedlack R., and Kolars J. Computer simulator training enhances the competency of gastroenterology fellows at colonoscopy: results of a pilot study. Am J Gastroenterol 99 (2004) 33-37
20. Rowe R., and Cohen R. An evaluation of a virtual reality airway simulator. Anesth Analg 95 (2002) 62-66
21. DiMaio S.P., and Salcudean S.E. Interactive simulation of needle insertion models. IEEE Trans Biomed Eng (July 2005) 1167-1179
22. Alterovitz R., Pouliot J., and Taschereau R. Simulating needle insertion and radioactive seed implantation for prostate brachytherapy. In: Westwood J.D., Haluck R.S., Hoffman H.M., Mogel G.T., Phillips R., and Robb R.A. (Eds). Medicine meets virtual reality 11 (2003), IOS press 19-25
23. Kataoka H, Toshikatsu W, Kiyoyuki C. Measurement of the tip and friction force acting on a needle during penetration. In: Medical image computing and computer-assisted intervention MICCAI 2002. Tokyo, Japan; September 2002. pp. 216-223.
24. O'leary MD, Simone C, Washio T. Robotic needle insertion: effects of friction and needle geometry. In: Proceedings of the 2003 IEEE international conference on robotics and automation. Taipei, Taiwan; 2003. p. 1774-1780.
25. Chanthasopeephan T., Desai J., and Lau A.C.W. Study of soft tissue cutting forces and cutting speeds. In: Westwood J.D., Haluck R.S., Hoffman H.M., Mogel G.T., Phillips R., and Robb R.A. (Eds). Medicine meets virtual reality 11 (2004), IOS press 56-62
26. Ottensmeyer M.P. TeMPeST 1-D. An instrument for measuring solid organ soft tissue properties. Exp Tech 26 (May/June 2002) 48-50
27. Brouwer I., Ustin J., Bentley L., Sherman A., Dhruv N., Tendick F., et al. Measuring in vivo animal soft tissue properties for haptic modelling in surgical simulation. In: Westwood J.D., Haluck R.S., Hoffman H.M., Mogel G.T., Phillips R., and Robb R.A. (Eds). Medicine meets virtual reality 2001 (2001), IOS Press 69-74
28. Healey A.E., Evans J.C., and Murphy M.G. In vivo force during arterial interventional radiology needle puncture procedures. In: Westwood J.D., Haluck R.S., Hoffman H.M., Mogel G.T., Phillips R., and Robb R.A. (Eds). Medicine meets virtual reality 13 (2005), IOS Press 178-184
29. Chami G, Ward JW, Wills DPM, Phillips R, Sherman KP. Smart tool for force measurements during knee arthroscopy: in vivo human study. In: Proceedings of medicine meets virtual reality 14. Long Beach; January 2006. pp. 85-9.
30. Gould D.A., Healey A.E., Johnson S.J., Lewandowski W.E., and Kessel D.O. Metrics for an interventional radiology curriculum: a case for standardisation?. Stud Health Technol Inform 119 (2006) 159-164
31. Johnson S.J., Healey A.E., Evans J.C., Murphy M.G., Crawshaw M., and Gould D.A. Physical and cognitive task analysis in interventional radiology. Clin Radiol 61 1 (January 2006) 97-103
32. Medical Simulation Corporation, SimSuite Centres. [accessed 04.05.06].
33. Virtual Medical Worlds monthly news service for the virtual medical community. [accessed 04.05.06].
34. Gould DA, Becker GJ, Kessel DO, Lewandowski WE, Patel AA. JITF; 15.03.07. Establishing the role of simulation-based training in current interventional curricula. [accessed 09.06.07].