ReviewCurrent urology reports2025
Three-Dimensional Virtual Models in Robot Assisted Partial Nephrectomy: A Needed Tool in the Era of Precision Surgery.
Review in Current urology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Automatic Kidney Image Segmentation During Robot-Assisted Partial Nephrectomy Using a Deep Learning Model Based on a Multiannotator Dataset: Model Development and Validation Study.JMIR medical informatics · 2026Article
- Three-dimensional image guidance using instrument tracking facilitates intraoperative resection-line determination during robot-assisted partial nephrectomy.Journal of robotic surgery · 2026Article
- Three-dimensional virtual models accurately predict preserved parenchymal volume after robot-assisted partial nephrectomy: a prospective study.International urology and nephrology · 2026Article
- Application value of three-dimensional visualization imaging technology in laparoscopic partial nephrectomy for complex renal tumors.Pakistan journal of medical sciences · 2026Article
- Enhancing Surgical Planning with AI-Driven Segmentation and Classification of Oncological MRI Scans.Sensors (Basel, Switzerland) · 2026Article
- The role of preoperative 3D reconstruction in optimizing surgical planning and intraoperative guidance during laparoscopic distal pancreatectomy: a pilot study.Frontiers in oncology · 2026Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewRobot-assisted partial nephrectomy (RAPN) has become the gold standard for treating localized renal cell carcinoma (RCC) in high-volume centres. However, increasing tumor complexity demands refined preoperative planning tools. This review summarizes current evidence regarding the use of three-dimensional virtual models (3DVM) in RAPN, focusing on their clinical applications, outcomes and future perspectives. RECENT
findings3DVMs are generated from contrast-enhanced CT scans through segmentation and reconstruction, enabling interactive anatomical visualization. These models provide functional tools such as perfusion territory mapping, volumetric renal function prediction and nephrometry-based complexity stratification. Integration with augmented reality (AR) platforms allows real-time intraoperative navigation. Comparative studies and meta-analyses demonstrate that 3DVM-guided RAPN is associated with reduced warm ischemia time (WIT), lower estimated blood loss (EBL), higher trifecta/pentafecta achievement and improved postoperative renal function, particularly in complex tumors. Additionally, 3DVM enhance surgical education and patient counselling. 3DVM represent a pivotal advancement in personalized urologic surgery. By improving anatomical comprehension, surgical precision, and planning of selective ischemia strategies, they contribute to superior intraoperative and functional outcomes in RAPN. Although promising, broader implementation requires standardization, cost-effectiveness validation and further multicentre prospective studies.
Indexed as
Identifiers
40779192What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.