Hutter MM, et al. The impact of the 80-hour resident workweek on surgical residents and attending surgeons. Ann Surg. 2006;243(6):864–71.
Article PubMed PubMed Central Google Scholar
Rosen KR. The history of medical simulation. J Crit Care. 2008;23:157–66.
Schwab B, et al. The role of simulation in surgical education. J Laparoendosc Adv Surg Tech A. 2017;27(5):450–4.
Kincaid JP, Donovan J, Pettitt B. Simulation techniques for training emergency response. Int J Emerg Med. 2003;1:238–46.
•• Kozan AA, Chan LH, Biyani CS. Current status of simulation training in urology: a non-systematic review. Res Rep Urol. 2020;12:111-12/. https://doi.org/10.2147/RRU.S237808. PMID: 32232016; PMCID: PMC7085342. This review article highlights recent advances in surgical simulation focused on urology and is highly important.
Raemer D. Society for simulation in healthcare. In: Riley RH, editor. Manual of Simulation in Healthcare, Chpt. 38. Oxford: Oxford University Press; 2008. p. 529–32. ISBN 978–0–19- 920585–1.
Badash I, et al. Innovations in surgery simulation: a review of past, current and future techniques. Ann Transl Med. 2016;4(23):453.
Article PubMed PubMed Central Google Scholar
•• Pelly T, et al. Low-cost simulation models in urology: a systematic review of the literature. Cent European J Urol. 2020;73(3):373–80. This review highlights low cost or low-fidelity models for urology simulation education.
Rowley K, et al. Novel use of household items in open and robotic surgical skills resident education. Adv Urol. 2019;2019:5794957.
Article PubMed PubMed Central Google Scholar
•• Canalichio KL, Berrondo C, Lendvay TS. Simulation training in urology: state of the art and future directions. Adv Med Educ Pract. 2020;11:391–6. This article highlights current and possible future directions of surgical simulation for urologic education and training.
Dawe SR, et al. Systematic review of skills transfer after surgical simulation-based training. Br J Surg. 2014;101(9):1063–76.
Article CAS PubMed Google Scholar
Sethi AS, et al. Validation of a novel virtual reality robotic simulator. J Endourol. 2009;23(3):503–8.
Chowriappa A, Raza SJ, Fazili A, et al. Augmented-reality-based skills training for robot-assisted urethrovesical anastomosis: a multi-institutional randomised controlled trial. BJU Int. 2015;11(5):336–45. https://doi.org/10.1111/bju.12704.
Abboudi H, Khan MS, Guru KA, et al. Learning curves for urological procedures: a systematic review. BJU Int. 2014;114:617–29. https://doi.org/10.1111/bju.12315.
Lentz AC, Rodríguez D, Chandrapal JC, Davis LG, Ghazi A, Gross MS, Munarriz R. Cadaveric laboratory simulation training of male stress urinary incontinence treatment improves trainee knowledge and confidence. Urology. 2020;143:48–54.
•• Ghazi A. A call for change. Can 3D printing replace cadavers for surgical training? Urol Clin North Am. 2022;49(1):39–56. This project evaluates the utility of synthetic models replacing the costly and ethically challenging problems of cadaveric training modalities.
Carey JN, et al. Simulation of plastic surgery and microvascular procedures using perfused fresh human cadavers. J Plast Reconstr Aesthet Surg. 2014;67(2):e42–8.
Yiasemidou M, et al. Cadaveric simulation: a review of reviews. Ir J Med Sci. 2018;187(3):827–33.
Article CAS PubMed Google Scholar
Sharma M, Macafee D, Horgan AF. Basic laparoscopic skills training using fresh frozen cadaver: a randomized controlled trial. Am J Surg. 2013;206(1):23–31.
Roberts KE, Bell RL, Duffy AJ. Evolution of surgical skills training. World J Gastroenterol. 2006;12(20):3219–24.
Article PubMed PubMed Central Google Scholar
Tan SS, Sarker SK. Simulation in surgery: a review. Scott Med J. 2011;56(2):104–9.
Farhan B, et al. Face, content, and construct validations of endoscopic needle injection simulator for transurethral bulking agent in treatment of stress urinary incontinence. J Surg Educ. 2018;75(6):1673–8.
Ma R, Reddy S, Vanstrum EB, Hung AJ. Innovations in urologic surgical training. Curr Urol Rep. 2021;22:4–26. https://doi.org/10.1007/s11934-021-01043-z. PMID: 33712963; PMCID: PMC8106917.
Song PH. Current status of simulation-based training and assessment in urological robot-assisted surgery. Investig Clin Urol. 2016;57(6):375–6.
Article PubMed PubMed Central Google Scholar
Childs BS, Manganiello MD, Korets R. Novel education and simulation tools in urologic training. Curr Urol Rep. 2019;20(12):81.
Analichio KL, Berrondo C, Lendvay TS. Simulation training in urology: state of the art and future directions. Adv Med Educ Pract. 2020;11:391–6.
Schulz GB, et al. Benefits and limitations of transurethral resection of the prostate training with a novel virtual reality simulator. Simul Healthc. 2020;15(1):14–20.
Brewin J, et al. Face, content, and construct validation of the Bristol TURP trainer. J Surg Educ. 2014;71(4):500–5.
Schout BM, Ananias HJ, Bemelmans BL, et al. Transfer of cysto-urethroscopy skills from a virtual- reality simulator to the operating room: a randomized controlled trial. BJU Int. 2010;106:226.
Schulz GB, et al. Validation of a high-end virtual reality simulator for training transurethral resection of bladder tumors. J Surg Educ. 2019;76(2):568–77.
Tjiam IM, et al. Evaluation of the educational value of a virtual reality TURP simulator according to a curriculum-based approach. Simul Healthc. 2014;9(5):288–94.
Hudak SJ, et al. External validation of a virtual reality transurethral resection of the prostate simulator. J Urol. 2010;184(5):2018–22.
Ahmed K, Jawad M, Dasgupta P, Darzi A, Athanasiou T, Khan MS. Assessment and maintenance of competence in urology. Nat Rev Urol. 2010;7:403–13.
Stern J, Zeltser IS, Pearle MS. Percutaneous renal access simulators. J Endourol. 2007;21:270–3.
Knudsen BE, Matsumoto ED, Chew BH, et al. A randomized, controlled, prospective study validating the acquisition of percutaneous renal collecting system access skills using a computer based hybrid virtual reality surgical simulator: Phase I. J Urol. 2006;176:2173–8.
Mishra S, Kurien A, Patel R, Patil P, Ganpule A, Muthu V, Sabnis RB, Desai M. Validation of virtual reality simulation for percutaneous renal access training. J Endourol. 2010;24:635–40.
Kamel M, Eltahawy EA, Warford R, Thrush CR, Noureldin YA. Simulation-based training in urology residency programmes in the USA: results of a nationwide survey. Arab J Urol. 2018;16(4):446–52. https://doi.org/10.1016/j.aju.2018.06.003. PMID: 30534446; PMCID: PMC6277275.
Article PubMed PubMed Central Google Scholar
Al Janabi HF, et al. Effectiveness of the HoloLens mixed-reality headset in minimally invasive surgery: a simulation-based feasibility study. Surg Endosc. 2020;34(3):1143–9.
Neumann E, et al. Transurethral resection of bladder tumors: next-generation virtual reality training for surgeons. Eur Urol Focus. 2019;5(5):906–11.
Chen MY, Skewes J, Desselle M, Wong C, Woodruff MA, Dasgupta P, Rukin NJ. Current applications of three-dimensional printing in urology. BJU Int. 2020;125(1):17–27. https://doi.org/10.1111/bju.14928. Epub 2019 Nov 6. PMID: 31622020.
Ghazi AE, Teplitz BA. Role of 3D printing in surgical education for robotic urology procedures. Transl Androl Urol. 2020;9(2):931–941. https://doi.org/10.21037/tau.2020.01.03. PMID: 32420209; PMCID: PMC7214988.
Komai Y, et al. A novel 3-dimensional image analysis system for case-specific kidney anatomy and surgical simulation to facilitate clampless partial nephrectomy. Urology. 2014;83(2):500–6.
Silberstein JL, et al. Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: a pilot study. Urology. 2014;84(2):268–72.
Adams F, Qiu T, Mark A, Fritz B, Kramer L, Schlager D, Wetterauer U, Miernik A, Fischer P. Soft 3D-Printed phantom of the human kidney with collecting system. Ann Biomed Eng. 2017;45(4):963–972. https://doi.org/10.1007/s10439-016-1757-5. Epub 2016 Nov 9. PMID: 27830490; PMCID: PMC5362658.
Melnyk R, Ezzat B, Belfast E, Saba P, Farooq S, Campbell T, et al. Mechanical and functional validation of a perfused, robot-assisted partial nephrectomy simulation platform using a combination of 3D printing and hydrogel casting. World J Urol. 2019. https://doi.org/10.1007/s00345-019-02989-z.
Ghazi A, Melnyk R, Hung A, Collins J, Ertefaie A, Saba P, Gurung P, Frye T, Mottrie A, Costello T, Dasgupta P, Joseph J. Multi-institutional validation of a perfused robot-assisted partial nephrectomy procedural simulation platform utilizing clinically relevant objective metrics of simulators (CROMS). BJU Int. 2020. https://doi.org/10.1111/bju.15246. Epub ahead of print. PMID: 32936977.
Witthaus MW, Farooq S, Melnyk R, Campbell T, Saba P, Mathews E, et al. Incorporation and validation of clinically relevant performance metrics of simulation (CRPMS) into a novel full-immersion simulation platform for nerve-sparing robot-assisted radical prostatectomy (NS-RARP) utilizing three-dimensional printing and hydrogel casting technology. BJU Int. 2019;125:322–32. https://doi.org/10.1111/bju.14940.
Saba P, Belfast E, Melnyk R, Patel A, Kashyap R, Ghazi A. Development of a high-fidelity robotic assisted kidney transplant (RAKT) simulation platform using 3D printing and hydrogel casting technologies. J Endourol. 2020. Epub 2020 Jun 27.
Ghazi A, Campbell T, Melnyk R, Feng C, Andrusco A, Stone J, Etrurk E. Validation of a full-immersion simulation platform for percutaneous nephrolithotomy using three-dimensional printing technology. J Endourol. 2017;31:1314–20. https://doi.org/10.1089/end.2017.0366.
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