First Prize: A Phantom Model as a Teaching Modality for Laparoscopic Partial Nephrectomy
Autor: | Stephen E. Pautler, Andrew Fuller, Alfonso Fernandez, Petar Erdeljan, Terry M. Peters, Elspeth M. McDougall, John W. Moore, Carling L. Cheung, Elvis C. S. Chen |
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Rok vydání: | 2012 |
Předmět: | |
Zdroj: | Journal of Endourology. 26:1-5 |
ISSN: | 1557-900X 0892-7790 |
Popis: | Purpose: To evaluate a materials model for laparoscopic ultrasound identification and partial nephrectomy of kidney tumors. Methods: Five urology fellows performed laparoscopic ultrasonography (LUS) examination of the tumor model, and the time for identification was recorded. After identifying the tumor, they performed a laparoscopic partial nephrectomy using the target tumor with measurement of operative parameters. They completed a questionnaire and rated the quality of the renal tumor model on a 5-point Likert scale. Results: The participants were able to identify 49 tumors by LUS (98%). The mean time to identify the renal tumors by LUS was 1.12 minutes±0.93 standard deviation (SD). A partial nephrectomy was successfully completed on 49 tumor models (98%). The mean resection time was 7.69 minutes±3.8 SD. All of the participants considered that this model was helpful in the practice of LPN. The fellows would recommend this model as a teaching tool for residents/fellows to perform tumor imaging ... |
Databáze: | OpenAIRE |
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