Developing an anatomically accurate human renal collecting system model for training percutaneous nephrolithotomy access in cases of complex kidney stones
Автор: Gadzhiev N.K., Britov V.P., Grigorev V.E., Mazurenko D.A., Malhasyan V.A., Pisarev A.V., Obidnyak V.M., Tagirov N.S., Popov S.V., Petrov S.B.
Журнал: Экспериментальная и клиническая урология @ecuro
Рубрика: Эндоурология
Статья в выпуске: 2, 2017 года.
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Purpose. The objective was to develop an anatomically accu- rate, nonbiologic, cost-effective model of renal collecting system and upper segment of ureter for training PCNL access under fluoroscopic guidance in cases of complex kidney stones. Methods: Patients with complex kidney stones underwent computed tomography with enhancing. Then their images of a collecting systems and upper segments of ureter were extracted from DICOM and reformatted to STL using specialized software and printed in a water-soluble plastic on a three-dimensional (3D) printer to create anatomically accurate human renal collecting system. Obtained models were embedded in silicone and then the models were removed to leave a hollow collecting system within a silicone model. Before patients operation these PCNL models were filled with contrast medium and sealed for training PCNL access under fluoroscopic guidance. Results: Anatomically accurate human renal collecting system models are useful complement in planning PCNL access. The PCNL access training model reproduces variety, complexity, individual features and anatomically accurate of human collecting systems. In this model PCNL access under fluoroscopic guidance of needed calix can be practiced successfully. Conclusions: Application of this silicone PCNL training model provides better understanding of collecting system and serves as training model for PCNL access under fluoroscopic guidance. In addition experience obtained by a surgeon may increase accuracy, efficiency and safety of PCNL access
Percutaneous nephrolithotomy, modeling of the calyx-pelvis kidney system, training of urologists, urological simulator
Короткий адрес: https://sciup.org/142188196
IDR: 142188196