ArticleEuropean urology open science2025
Nephrometry Scores Based on Three-dimensional Virtual Models Improve the Accuracy of Predicting Postoperative Complications After Robotic Partial Nephrectomy: Results from a Collaborative ERUS Validation Study.
Article in European urology open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- External validation of the preoperative risk evaluation for partial nephrectomy (PREP) score.BJUI compass · 2026Article
- Robot-assisted vs open partial nephrectomy: a propensity-matched analysis of perioperative outcomes and midterm oncologic safety.International urology and nephrology · 2026Article
- Three-dimensional virtual models accurately predict preserved parenchymal volume after robot-assisted partial nephrectomy: a prospective study.International urology and nephrology · 2026Article
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- The times they are (still) a-Changin'.Prostate cancer and prostatic diseases · 2026Article
- Renal Functional Outcomes in Robot-Assisted Partial Nephrectomy with Minimum Layer Resection Using Virtual Three-Dimensional Image Assistance.Journal of clinical medicine · 2025Article
- Three-Dimensional Virtual Models in Robot Assisted Partial Nephrectomy: A Needed Tool in the Era of Precision Surgery.Current urology reports · 2025Review
- Article
- Virtual Interactive 3D Modeling to Improve Outcomes in Robot-Assisted Partial Nephrectomy: Clinical Trial Protocol for the Multicenter, Randomized 3DPN Study.European urology open science · 2025Article
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27 authors.
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Abstract
Background and objective: The aim of our study was to compare assessment of PADUA and RENAL nephrometry scores and risk/complexity categories via two-dimensional (2D) imaging and three-dimensional virtual models (3DVM) in a large multi-institutional cohort of renal masses suitable for robot-assisted partial nephrectomy (RAPN), and evaluate the predictive role of these imaging approaches for postoperative complications. Methods: Patients were prospectively enrolled from six international high-volume robotic centers, calculating PADUA and RENAL-nephrometry scores and their relative categories with 2D-imaging and 3DVMs. The concordance of nephrometry scores and categories between the two approaches was evaluated using χ Key findings and limitations: A total of 318 patients were included in the study. There was low concordance for nephrometry scores and categories between the 3DVM and 2D assessment methods, with downgrading of PADUA and RENAL scores on 3DVM assessment in 43% and 49% of cases, and downgrading of the corresponding categories in 25% and 26%, respectively. Moreover, 3DVM assessment showed better accuracy than the 2D approach in predicting overall ( Conclusions and clinical implications: In this multi-institutional study, 3DVMs had superior accuracy to 2D images for evaluating the surgical complexity of renal masses and frequently led to downgrading. This could facilitate an increase in recommendations for kidney-sparing surgery and better identification of cases at risk of postoperative complications. Patient summary: Our study shows that the use of three-dimensional models gives lower complexity scores for kidney tumors in comparison to standard two-dimensional scans. This can improve surgical planning and may boost the use of kidney-sparing techniques and better identification of cases that are more likely to have postoperative complications.
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