Anatomically relevant pelvic phantom for surgical simulation

Information technology tools are gaining increasing importance in surgical skill training and assessment, due to the need of objective and repeatable measurement of performance. This is especially true for Minimally Invasive Surgery (MIS), where complex tool manipulation should be mastered employing artificial phantoms and simulators - either in the case of manual or robotic laparoscopy. In this paper, a laparoscopic box trainer is introduced with an advanced phantom for prostatectomy surgical simulation, which contributes to medical staff training and skill assessment. In order to increase the gradient of the relevant learning curve, high fidelity tissue models were implemented, following a new design. Qualitative and quantitative experimental analysis were performed involving 14 subjects that showed good acceptance of the proposed training device. Besides the usability aspects, the phantom has several advantageous properties through its affordable, repeatable manufacturing technique of the moulded silicone organs. This study reports an interim phase of our research that is aimed at the development of an instrumented, highly realistic surgical training and skill assessment framework for evaluating and improving manual and robotic MIS surgery.

[1]  Levente Kovács,et al.  Models for force control in telesurgical robot systems , 2015 .

[2]  P. Baranyi,et al.  Definition and synergies of cognitive infocommunications , 2012 .

[3]  W. Lewis,et al.  Learning curves in surgical practice , 2007, Postgraduate Medical Journal.

[4]  Daniel J Scott,et al.  Design of a Proficiency-Based Skills Training Curriculum for the Fundamentals of Laparoscopic Surgery , 2007, Surgical innovation.

[5]  R. Leach The learning curve , 1992 .

[6]  Viren N. Naik,et al.  Clinical Impact of Epidural Anesthesia Simulation on Short and Long-term Learning Curve: High Versus Low-fidelity Model Training , 2010 .

[7]  Migie Lee,et al.  Box, cable and smartphone: a simple laparoscopic trainer , 2015, The clinical teacher.

[8]  T. Haidegger,et al.  Minimally invasive surgical technologies: Challenges in education and training , 2010 .

[9]  M. Spence The Learning Curve and Competition , 1981 .

[10]  Imre J. Rudas,et al.  Origins of surgical robotics: From space to the operating room , 2016 .

[11]  A. Ziv,et al.  Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review , 2005, Medical teacher.

[12]  Mandayam A Srinivasan,et al.  Virtual-reality-based laparoscopic surgical training: The role of simulation fidelity in haptic feedback , 2004, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[13]  R. Velthoven,et al.  Methods for laparoscopic training using animal models , 2006, Current urology reports.

[14]  Sara Fripp A learning curve. , 2014, Midwives.