[Non-biological 3D printed simulator for training in percutaneous nephro- lithotripsy].

AIM: To develop a non-biological 3D printed simulator for training and preoperative planning in percutaneous nephrolithotripsy (PCNL), which allows doctors to master and perform all stages of the operation under ultrasound and fluoroscopy guidance. MATERIALS AND METHODS: The 3D model was constructed using multislice spiral computed tomography (MSCT) images of a patient with staghorn urolithiasis. The MSCT data were processed and used to print the model. The simulator consisted of two parts: a non-biological 3D printed soft model of a kidney with reproduced intra-renal vascular and collecting systems and a printed 3D model of a human body. Using this 3D printed simulator, PCNL was performed in the interventional radiology operating room under ultrasound and fluoroscopy guidance. RESULTS: The designed 3D printed model of the kidney completely reproduces the individual features of the intra-renal structures of the particular patient. During the training, all the main stages of PCNL were performed successfully: the puncture, dilation of the nephrostomy tract, endoscopic examination, intra-renal lithotripsy. CONCLUSION: Our proprietary 3D-printed simulator is a promising development in the field of endourologic training and preoperative planning in the treatment of complicated forms of urolithiasis.

[Application of 3D soft print models of the kidney for treatment of patients with localized cancer of the kidney (a pilot study)].

AIM: To evaluate the possibility of using 3D-printing in the management of patients with localized kidney cancer. MATERIALS AND METHODS: The study comprised five patients with localized kidney cancer who were treated at the Urology Clinic of the I.M. Sechenov First Moscow State Medical University from January 2016 to April 2017. Along with the standard examination, the patients underwent multispiral computed tomography (MSCT) to produce patient-specific 3D-printed models of the kidney tumors using 3D modeling and 3D printing. To evaluate the effectiveness of using 3D-printed models, two-stage preoperative planning was conducted, and five surgeons were surveyed using a four-question multiple choice questionnaire. At the first stage, the planning of operations was carried out based on MSCT findings. At the second stage, the surgeons were given patient-specific soft 3D models of the kidney with a tumor for preoperative training. After preoperative training, patients underwent laparoscopic resection of the kidney with a tumor. RESULTS: According to the survey results, each of the participating surgeons at least once changed surgical plan based on data obtained with 3D printed models of the kidney with the tumor. The implementation of preoperative training using 3D printed models of the kidney turned out to be effective. All patients underwent laparoscopic surgery performed by a single surgeon with extensive experience in this type of surgery. The mean operative time was 187 minutes. All operations were performed with main renal artery occlusion. The men warm ischemia time was 19.5 minutes and the mean blood loss was 170 ml. There were no conversions to open surgery and organ-removing operations. There were no postoperative complications or deaths. All surgical margins were negative. Morphological examination showed that four patients had renal cell carcinoma one patient had the oncocytoma. CONCLUSION: The study demonstrated the promise of using 3D printing for preoperative planning and surgical performance due to a high-precision three-dimensional soft patient-specific model of the localized kidney.