Background: Hybrid simulators provide objective metrics for laparoscopic task performance. This study aimed to evaluate the correlation between hybrid simulator-generated metrics and content-valid outcome measures.
Methods: Residents underwent training with a previously validated 5-task simulation model (5-TSM). The resident tasks included vessel clipping and dividing, lesion excision, loop appendectomy, mesh placement with tacks, and suture perforation with intracorporeal knot tying. After training, the residents were tested using the open module of a hybrid simulator (ProMIS) with previously validated passing scores. Content validity was defined as the extent to which outcome measures departed from clinical reality. Content-valid outcome measures (accuracy error, knot slippage, leak, operating time, tissue damage) were evaluated by two blinded raters. The hybrid simulator-generated metrics were path length and smoothness of movements. Values are given as means (standard deviation is not shown).
Results: Over 23 months, 20 residents underwent training with 5-TSM. Respectively, for tasks 1 to 5, the path length was 3,895, 3,472, 4,620, 2,408, and 9,089 mm; the smoothness (jerk) was 346, 455, 549, 264, and 910 cm/sec3; the accuracy error was 0.45, 2.20, 0.55, 0.87, and 0.20 mm; and the knot slippage was 5%. There were no leaks. The operating time, respectively, was 54, 61, 135, 43, and 130 s, and the tissue damage was 0, 0.28, 0, 0.8, and 0 mm. The interrater reliability was more than 0.80 for all the outcome measures except accuracy error (k=0.52). There was correlation between path length and operating time (Spearman rho, 0.537-0.709; p<0.05) for all the tasks. There was no correlation between path length and accuracy error, knot slippage, leak, and tissue damage. No correlation was found between smoothness and any of the outcome measures for any of the tasks except operating time (Spearman rho, 0.762-0.958; p<0.05).
Conclusions: Although an expected strong correlation was observed between hybrid simulator-generated metrics and operating time, this study showed no correlation between simulator-generated metrics and other content-valid outcome measures.
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http://dx.doi.org/10.1007/s00464-008-0018-6 | DOI Listing |
Front Neuroinform
August 2016
Section on Brain Imaging and Modeling, National Institute on Deafness and Other Communication Disorders, National Institutes of Health Bethesda, MD, USA.
A number of recent efforts have used large-scale, biologically realistic, neural models to help understand the neural basis for the patterns of activity observed in both resting state and task-related functional neural imaging data. An example of the former is The Virtual Brain (TVB) software platform, which allows one to apply large-scale neural modeling in a whole brain framework. TVB provides a set of structural connectomes of the human cerebral cortex, a collection of neural processing units for each connectome node, and various forward models that can convert simulated neural activity into a variety of functional brain imaging signals.
View Article and Find Full Text PDFDis Colon Rectum
December 2009
Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York 11794-8191, USA.
Purpose: This study aimed to evaluate the responsiveness of surgery residents to simulated laparoscopic sigmoidectomy training.
Methods: Residents underwent simulated laparoscopic sigmoidectomy training for previously tattooed sigmoid cancer with use of disposable abdominal trays in a hybrid simulator to perform a seven-step standardized technique. After baseline testing and training, residents were tested with predetermined proficiency criteria.
Surg Endosc
October 2008
Department of Surgery, Lehigh Valley Hospital, Cedar Crest & I-78, P.O. Box 689, Allentown, PA 18105-1556, USA.
Background: Hybrid simulators provide objective metrics for laparoscopic task performance. This study aimed to evaluate the correlation between hybrid simulator-generated metrics and content-valid outcome measures.
Methods: Residents underwent training with a previously validated 5-task simulation model (5-TSM).
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