Division of Urology, Department of Surgery, Schulich School of Medicine & Dentistry, The University of Western Ontario, London Ontario, Canada.
J Endourol. 2012 Jan;26(1):1-5. doi: 10.1089/end.2011.0131. Epub 2011 Sep 23.
To evaluate a materials model for laparoscopic ultrasound identification and partial nephrectomy of kidney tumors.
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.
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 by LUS and for practicing LPN in a simulated environment.
We have developed a unique model that simulates small kidney tumors that can be used for training surgeons in the clinical skills of laparoscopic partial nephrectomy.
评估腹腔镜超声识别和肾肿瘤部分切除术的材料模型。
5 名泌尿科研究员对肿瘤模型进行腹腔镜超声（LUS）检查，并记录识别时间。识别肿瘤后，他们使用目标肿瘤进行腹腔镜部分肾切除术，并测量手术参数。他们完成了一份问卷，并对肾脏肿瘤模型的质量进行了 5 分制的 Likert 评分。
参与者通过 LUS 成功识别了 49 个肿瘤（98%）。通过 LUS 识别肾脏肿瘤的平均时间为 1.12 分钟±0.93 标准差（SD）。49 个肿瘤模型均成功完成部分肾切除术。平均切除时间为 7.69 分钟±3.8 SD。所有参与者均认为该模型有助于进行 LPN 实践。研究员们将推荐该模型作为一种教学工具，用于居民/研究员通过 LUS 进行肿瘤成像，并在模拟环境中进行 LPN 实践。
我们开发了一种独特的模型，模拟了可以用于培训外科医生腹腔镜部分肾切除术临床技能的小肾肿瘤。
