Role of the three-dimensional printing technology in complex laparoscopic renal surgery: a renal tumor in a horseshoe kidney

ABSTRACT Purpose: To report our initial experience using a patient-specific 3D-printed renal tumor model for the surgical planning of a complex heminephrectomy in a horseshoe kidney. Materials and Methods: We selected a clinical case for a complex laparoscopic surgery consisting in a 53 year-old male presenting a local recurrence of a renal tumor in a horseshoe kidney with aberrant vascularisation previously treated with a laparoscopic partial nephrectomy. He is now proposed for a laparoscopic left heminephrectomy. Along with conventional imaging, a real-size 3D-printed renal model was used to plan de surgical approach. The perioperative experience of the surgical team was recorded. Results: The surgical team found the patient-specific 3D printed model useful for a better understanding of the anatomy and an easier surgical planning. Conclusion: The use of patient-specific 3D-printed renal models seem to be helpful for the surgical planning in complex renal tumors.

Nephrometry scores and perioperative outcomes following robotic partial nephrectomy

ABSTRACT Objectives: Based on imaging features, nephrometry scoring systems have been conceived to create a standardized and reproducible way to characterize renal tumor anatomy. However, less is known about which of these individual measures are important with regard to clinically relevant perioperative outcomes such as ischemia time (IT), estimated blood loss (EBL), length of hospital stay (LOS), and change in estimated glomerular filtration rate (eGFR) after robotic partial nephrectomy (PN). We aimed to assess the utility of the RENAL and PADUA scores, their subscales, and C-index for predicting these outcomes. Materials and Methods: We analyzed imaging studies from 283 patients who underwent robotic PN between 2008 and 2014 to assign nephrometry scores (NS): PADUA, RENAL and C-index. Univariate linear regression was used to assess whether the NS or any of their subscales were associated with EBL or IT. Multivariable linear regression and linear regression models were created to assess LOS and eGFR. Results: The three NS were significantly associated with EBL, IT, LOS, and eGFR at 12 months after surgery. All subscales with the exception of anterior/posterior were significantly associated with EBL and IT. Collecting system, renal rim location, renal sinus, exophytic/endophytic, and nearness to collecting system were significant predictors for LOS. Only renal rim location, renal sinus invasion and polar location were significantly associated with eGFR at 12 months. Conclusions: Tumor size and depth are important characteristics for predicting robotic PN outcomes and thus could be used individually as a simplified way to report tumors features for research and patient counseling purposes.