Validation of a novel non-biological bench model for the training of percutaneous renal access.

نویسندگان

  • Yi Zhang
  • Cheng-fan Yu
  • Shi-hua Jin
  • Ning-chen Li
  • Yan-qun Na
چکیده

PURPOSE The percutaneous renal access (PRA) is the most critical step of percutaneous renal surgery (PRS). For the training of PRA in the lab, a novel non-biological bench model was developed and set for validation test. MATERIALS AND METHODS Experts in PRS (> 60 cases) and novices were included to perform fluoroscopy guided PRA on the model. Overall time, X-ray exposure time and puncture attempts were recorded to establish construct validity. After accomplishment, the experts rated the model using a standardized questionnaire for face and content validity based on a 5-point Likert scale, with 1 denoting very bad and 5 as excellent. Baseline and post-training data of novices were analyzed for skill acquisition. RESULTS 9 experts and 30 novices were finally included. The overall appraisal was 4 by the experts, and consensus of all experts was reached for the model as an excellent training tool. Significant difference between experts and novices was detected with the experts using less total time 183.11 ± 29.40 vs. 278.00 ± 50.30 seconds (P < 0.001), shorter X-ray exposure time 109.22 ± 19.93 vs. 183.13 ± 38.83 seconds (P < 0.001), and fewer attempts 1.28 ± 0.44 vs. 2.35 ± 0.65 (P < 0.001). After training, the novices demonstrated significant skill improvement in total and fluoroscopy time, and number of attempts (P < 0.001). CONCLUSIONS Our non-biological model provides a new method for PRA training. The face, content and construct validity were demonstrated. This model allows contact with PRA skills and could be applied to the first step in the learning curve.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی میزان موفقیت جراحی پرکوتانئوس در درمان سنگ کلیه بیماران مبتلا به ناهنجاری‌های مادرزادی کلیوی

    Background & Aim: Patients with congenital renal abnormality are more prone to calculus formation and have less chance of spontaneous stone passage. Percutaneous treatment of patients with calculi in an abnormal kidney can be challenging due to the altered anatomical relationship in the retroperitoneum. Therefore, we performed a review to assess the safety and efficacy of this minimally inv...

متن کامل

Laparoscopic Assisted ultrasound guided Percutaneous Nephrolithotomy (PCNL) in Ectopic Pelvic Kidney

We report a patient with pain, abdominal palpable mass and a history of previous open renal stone surgery.  Imaging studies showed a right pelvic kidney with multiple calyceal stones. We describe the successful management through laparoscopic assisted percutaneous nephrolithotomy with ultrasonography (PCNL) in ectopic pelvic kidney, stressing that this method is a minimally invasive therapeutic...

متن کامل

The Correlation of Biological Activity and Chemical Structure of Quinolizidinyl Derivatives as Inhibitor of Alzheimer’s Disease with Linear and Non-linear Models

In this research,QSAR study has been carried out on quinolizidinyl derivatives as potent inhibitors of Acetyl and Butyrylcholin esterase in Alzheimer’s disease. Despite significant research efforts in both industry and academia, there are currently no diseases modifying therapies available to treat this illness. Significant evidence suggests that the pathology of AD is linked to generation of β...

متن کامل

A Novel QSAR Model for the Evaluation and Prediction of (E)-N’-Benzylideneisonicotinohydrazide Derivatives as the Potent Anti-mycobacterium Tuberculosis Antibodies Using Genetic Function Approach

Abstract A dataset of (E)-N’-benzylideneisonicotinohydrazide derivatives as a potent anti-mycobacterium tuberculosis has been investigated utilizing Quantitative Structure-Activity Relationship (QSAR) techniques. Genetic Function Algorithm (GFA) and Multiple Linear Regression Analysis (MLRA) were used to select the descriptors and to generate the correlation QSAR models that relate the Mi...

متن کامل

ارائه مدلی جدید برای پیش‌بینی دمای تجزیه حرارتی ترکیبات نیتروآروماتیک پرانرژی

Abstract In this work the new simple model proposed for predicting the thermal decomposition temperature of energetic nitroaromatic compounds. The results are shown that the optimum elemental composition and several structural parameters have the most effects on this model which is derived by multiple Linear Regression (MLR) approach. The determination coefficient of the model is 0.940 for 29 ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • International braz j urol : official journal of the Brazilian Society of Urology

دوره 40 1  شماره 

صفحات  -

تاریخ انتشار 2014