Development and Validation of a Virtual Basic Laparoscopic Skill Trainer (VBLaST) For the first time in the history of surgical education, a comprehensive program to teach and evaluate the cognitive and psychomotor aspects unique to laparoscopic surgery - the Fundamentals of Laparoscopic Surgery (FLS) developed originally by the Society of American Gastrointestinal Endoscopic Surgery (SAGES) and subsequently by a joint committee which includes the American College of Surgeons (ACS) - is being embraced nationally for training and credentialing laparoscopic surgeons. As an example of its growing acceptance by the medical community, starting in 2009, the American Board of Surgeons has mandated that passing the FLS certifying examination will be required for taking the board examination in surgery. While the cognitive assessment in FLS is based on 75 multiple-choice questions, a proctored examination is used for the manual skills assessment which includes five tasks to be performed in a portable pelvic trainer box with built-in video camera: bimanual peg transfer, precise pattern cutting, use of ligating loops and suturing with intracorporeal and extracorporeal knot tying. In spite of the growing popularity of the FLS, there are several major problems with this box trainer paradigm: (1) the assessment is subjective, (2) there is no feedback during learning except when an experienced trainer is present, (3) a large number of qualified proctors must be engaged during test taking, (4) the training material must be constantly replaced, and (5) the test-takers must travel to one of the 27 Regional Test Centers or the Annual SAGES meeting or the ACS Clinical Congress. To overcome these problems and to enable greater dissemination, we propose to develop and validate a Virtual Basic Laparoscopic Skill Trainer (VBLaST) whereby tasks available in the FLS may be performed on PCs and laptops with inexpensive haptic (touch) interface devices, such as the Phantom(R) OmniTM. To develop the VBLaST a novel set of technologies must be developed including rapid, but highly realistic physics-based virtual interaction paradigms and statistical machine learning techniques to develop a "virtual mentor" which will provide real time automated feedback to the trainees. A comprehensive set of studies involving students, residents, fellows and practicing surgeons at Boston area hospitals (e.g., BIDMC, Tufts Medical Center, Cambridge Health Alliance, Harvard, MGH, Brigham &Women's, Lahey Clinic) will be undertaken to test the validity of the VBLaST as a training tool and establish its usefulness in transferring the acquired skills to the operating room. Once validated, the VBLaST will have exponential impact in reducing training costs and training time while improving patient safety and outcomes, A multidisciplinary team with collective expertise in physics-based interactive medical simulation, laparoscopic surgery and surgical education, and human factors engineering has been assembled to achieve the following Specific Aims: SA1) To develop a realistic virtual basic laparoscopic skill trainer (VBLaST) platform to perform all the tasks available in the FLS training tool box. SA2) To establish the validity of the VBLaST as a training tool. SA3) To evaluate the usefulness of the VBLaST as a training tool. SA4) To develop a web-based interface for the VBLaST.
The goal of this research is to develop a comprehensive computer-based technology that will allow surgical trainees to practice their surgical skills and to take standardized tests on computer-based models. Surgical procedures and techniques, learnt and perfected in this risk-free manner before application to patients, will translate to fewer operating room errors, reduced patient morbidity and improved patient outcomes resulting in faster healing, shorter hospital stay and reduced post surgical complications and treatment costs.
|Nemani, Arun; Sankaranarayanan, Ganesh; Olasky, Jaisa S et al. (2014) A comparison of NOTES transvaginal and laparoscopic cholecystectomy procedures based upon task analysis. Surg Endosc 28:2443-51|
|Olasky, Jaisa; Chellali, Amine; Sankaranarayanan, Ganesh et al. (2014) Effects of sleep hours and fatigue on performance in laparoscopic surgery simulators. Surg Endosc 28:2564-8|
|Lu, Zhonghua; Arikatla, Venkata S; Han, Zhongqing et al. (2014) A physics-based algorithm for real-time simulation of electrosurgery procedures in minimally invasive surgery. Int J Med Robot 10:495-504|
|Allen, Brian F; Jones, Daniel B; Schwaitzberg, Steven D et al. (2014) Survey-based analysis of fundamental tasks for effective use of electrosurgical instruments. Surg Endosc 28:1166-72|
|Chellali, A; Zhang, L; Sankaranarayanan, G et al. (2014) Validation of the VBLaST peg transfer task: a first step toward an alternate training standard. Surg Endosc 28:2856-62|
|Chellali, Amine; Schwaitzberg, Steven D; Jones, Daniel B et al. (2014) Toward scar-free surgery: an analysis of the increasing complexity from laparoscopic surgery to NOTES. Surg Endosc 28:3119-33|
|Nemani, Arun; Sankaranarayanan, Ganesh; Roberts, Kurt et al. (2013) Hierarchical task analysis of hybrid rigid scope Natural Orifice Translumenal Endoscopic Surgery (NOTES) cholecystectomy procedures. Stud Health Technol Inform 184:293-7|
|Dargar, Saurabh; Solley, Thomas; Nemani, Arun et al. (2013) The development of a haptic interface for the Virtual Translumenal Endoscopic Surgical Trainer (VTEST. Stud Health Technol Inform 184:106-8|
|Arikatla, Venkata S; Sankaranarayanan, Ganesh; Ahn, Woojin et al. (2013) Development and validation of VBLaST-PTýý : a virtual peg transfer simulator. Stud Health Technol Inform 184:24-30|
|Chin, Lauren I; Sankaranarayanan, Ganesh; Dargar, Saurabh et al. (2013) Objective performance measures using motion sensors on an endoscopic tool for evaluating skills in natural orifice translumenal endoscopic surgery (NOTES). Stud Health Technol Inform 184:78-84|
Showing the most recent 10 out of 28 publications