You have accessJournal of UrologyStone Disease: Surgical Therapy I (PD01)1 Apr 2020PD01-05 A NEW SIMULATOR FOR ALL STEPS PCNL TRAINING Stanislav Ali*, Evgenii Bezrukov, Evgenii Sirota, and Hussein Ali Stanislav Ali*Stanislav Ali* More articles by this author , Evgenii BezrukovEvgenii Bezrukov More articles by this author , Evgenii SirotaEvgenii Sirota More articles by this author , and Hussein AliHussein Ali More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000821.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: We developed a three-dimensionally (3D) printed simulator (3D-printed PCNL model) for the improved educational and pre-operative training of urology trainees, facilitating the practice of all stages of percutaneous nephrolithotomy (PCNL) under fluoroscopy and ultrasound guidance. METHODS: The models utilized in this study were created through the use of actual computer tomography (CT) data collected from patients undergoing PCNL. The simulator was produced using the FDM 3D printing method. A total of 40 second year urology residents (equivalent PGY level 3) were randomly equally assigned into two groups: group A consisted of trainees who completed the PCNL surgical steps on UroMentor, and group B, on the new 3D-printed PCNL model. After the training tasks, both groups completed the standardized questionnaire (12 questions Likert scale from 0 to 10) to asses the learning curve. RESULTS: The mean score of group A was 67.3/120 , while group B was 108.9/120. The mean scores for the accuracy of the correct PCNL puncture into the desired calyx under US-control was 0 in group A vs 9.90 in group B (p<0.05), the mean scores for puncture of pelvicalyceal system under fluorscopy control was 7.30 in group A, versus 9.98 in group B (p<0.05), the mean score of guidewire placement was 6,60 in group A vs. 9.98 in group B (p=0.01), the mean Identification of the correct calyx for a puncture was 5.70 in group A vs. 10.0 in group B (p<0.05), the mean score of distinguishing of the stone shape and its location was 8.0 in group A vs. 9.85 in group B (p<0.05), the mean score of tract dilation was 0 in group A vs. 9.9 in group (p=0), the mean score of lithotripsy skill was 0 in group A vs. 9.64 in group B (p<0.05), the mean score of nephrostomy tube placement was 8.0 in group A vs. 9.88 in group B (p<0.05), the mean score of skills at ureteral stent insertion was 9.0 in group A vs. 0 in group B (p<0.05), the mean score kidney anatomy evaluation using X-ray imaging was 8,6 in group A vs. 9.85 in group B (p<0.05), the mean score of tissue model feet back was 6.40 in group A vs. 9.96 in group B (p<0.05), the mean score of post-training errors discussion was 7.70 in group A vs. 9.94 in group B (p<0.05). The Mann-Whitney U-test showed that there was no a significant difference among both groups (U=16, p<0.05). CONCLUSIONS: The developed 3D-printed PCNL model is a novel, highly effective tool to facilitate enhanced endourological education. Source of Funding: No Source of Fundin © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e61-e62 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Stanislav Ali* More articles by this author Evgenii Bezrukov More articles by this author Evgenii Sirota More articles by this author Hussein Ali More articles by this author Expand All Advertisement PDF downloadLoading ...