Validating the Use of the Mimic dV-trainer for Robotic Surgery Skill Acquisition Among Urology Residents
ABSTRACT To compare robotic surgery skill acquisition of residents trained with Mimic dVTrainer (MdVT) and da Vinci Surgical System (dVSS) console. No standardized curriculum currently exists for robotic surgical education. The MdVT is a compact hardware platform that closely reproduces the experience of the dVSS.
Sixteen urology trainees were randomized into 3 groups. A baseline evaluation using dVSS was performed and consisted of 2 exercises requiring endowrist manipulation (EM), camera movement and clutching (CC), needle control (NC), and knot-tying (KT). Groups 1 and 2 completed a standardized training curriculum on MdVT and dVSS, respectively. Group 3 received no additional training. After completion of the training phase, all trainees completed a secondary evaluation on dVSS consisting of the same exercises performed during baseline evaluation.
There was no difference in baseline performance scores across the 3 groups. Although Group 3 showed no significant improvement in EM/CC domain (P = .15), Groups 1 and 2 had statistically significant improvement in EM/CC domain (P = .039 and P = .007, respectively). The difference in improvement between Groups 1 and group 2 was not statistically different (P = .21). Only Group 2 trainees showed significant improvement in the NC and KT domains during secondary evaluation (P = .02).
Curriculum-based training with MdVT or dVSS significantly improves robotic surgery aptitude. Similar improvements are seen for exercise domains shared between MdVT and dVSS groups. Follow-up studies are necessary to assess the efficacy of MdVT over a wider spectrum of domains.
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ABSTRACT: Different skills are required for robotic surgery and laparoscopic surgery. We hypothesized that the laparoscopic experience would not affect the performance with the da Vinci(®) system. A virtual robotic simulator was used to estimate the operator's robotic dexterity. The performance of 11 surgical fellows with laparoscopic experience and 14 medical students were compared using the dV-trainer(®). Each subject completed three virtual endo-wrist modules ("Pick and Place," "Peg Board," and "Match Board"). Performance was recorded using a built-in scoring algorithm. In the Peg Board module, the performance of surgical fellows was better in terms of the number of instrument collisions and number of drops (P < 0.05). However, no significant differences were found in the percentage scores of the three endo-wrist modules between the groups. Robotic dexterity was not significantly affected by laparoscopic experience in this study. Laparoscopic experience is not an important factor for learning robotic skills.Journal of Minimal Access Surgery 01/2015; 11(1):68-71. DOI:10.4103/0972-9941.147696 · 1.37 Impact Factor
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ABSTRACT: Neurosurgeons are faced with the challenge of learning, planning, and performing increasingly complex surgical procedures in which there is little room for error. With improvements in computational power and advances in visual and haptic display technologies, virtual surgical environments can now offer potential benefits for surgical training, planning, and rehearsal in a safe, simulated setting. This article introduces the various classes of surgical simulators and their respective purposes through a brief survey of representative simulation systems in the context of neurosurgery. Many technical challenges currently limit the application of virtual surgical environments. Although we cannot yet expect a digital patient to be indistinguishable from reality, new developments in computational methods and related technology bring us closer every day. We recognize that the design and implementation of an immersive virtual reality surgical simulator require expert knowledge from many disciplines. This article highlights a selection of recent developments in research areas related to virtual reality simulation, including anatomic modeling, computer graphics and visualization, haptics, and physics simulation, and discusses their implication for the simulation of neurosurgery.Neurosurgery 01/2013; 72:A154-A164. DOI:10.1227/NEU.0b013e3182750d26 · 3.03 Impact Factor
Article: Robotic liver surgery.[Show abstract] [Hide abstract]
ABSTRACT: Robotic surgery is an evolving technology that has been successfully applied to a number of surgical specialties, but its use in liver surgery has so far been limited. In this review article we discuss the challenges of minimally invasive liver surgery, the pros and cons of robotics, the evolution of medical robots, and the potentials in applying this technology to liver surgery. The current data in the literature are also presented.