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Background And Objective: Renal cancer often requires nephron-sparing surgery for optimal patient outcomes. Despite advances in imaging and robot-assisted surgery, there is a need to enhance surgical precision and renal preservation. This trial evaluates the effectiveness of three-dimensional image-guided robot-assisted partial nephrectomy versus standard methods in improving surgical outcomes.
Clinical Trial Design And Timeframe: This trial is a prospective, 1:1 randomized, single-blind phase 3 superiority study conducted across 14 centers within the French Network for Research on Kidney Cancer, aiming to enroll 694 patients over 36 mo.
Endpoints: The primary endpoint is a composite trifecta score, including negative surgical margins, no complications, and renal function preservation (estimated glomerular filtration rate >90% at 1 mo). The secondary endpoints include oncological outcomes, conversion rates, perioperative parameters, and economic evaluation.
Data Sources And Statistical Analysis Plan: Data are collected via the UroCCR database. Logistic regression will analyze the primary endpoint, and various regression methods will address the secondary outcomes. Economic evaluations involve incremental cost-utility and cost-effectiveness ratios.
Strengths And Limitations: Strengths include the multicenter design and robust randomization. Limitations involve variability in surgeons' experience with the new three-dimensional technology and logistical challenges in technology adoption.
Patient Summary: This clinical trial is designed to evaluate a new surgical technique for treating kidney tumors called three-dimensional (3D) image-guided robot-assisted partial nephrectomy. This study aims to determine whether this new method is more effective and safer than the current standard robot-assisted surgery by improving surgical precision and preserving kidney function. Kidney tumors require precise surgical removal to ensure the best outcomes for patients both during and after surgery. While robotic assistance has improved many surgeries, use of advanced 3D imaging during these procedures might enhance the surgeon's ability to operate with greater accuracy, potentially leading to better patient outcomes and fewer complications. Participants in the trial will undergo surgery using either the conventional robotic-assisted method or the new 3D image-guided technique. The method used for each participant will remain undisclosed to maintain the study's integrity. All participants will receive the highest standard of care, and their progress will be monitored closely throughout the trial. This study hopes to demonstrate that the 3D image-guided method can improve surgical precision and outcomes for patients undergoing kidney tumor removal. If successful, this technique could set a new standard for kidney surgery and improve the overall care patients receive in the future. The addition of 3D reconstruction to the surgery carries very little extra risk. If any technical issues occur, the surgeons can switch back to the regular method without affecting safety. The 3D technology we use, Synapse 3D, is approved and used in hospitals worldwide, ensuring that its safety is well proven by existing evidence.
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http://dx.doi.org/10.1016/j.euo.2025.03.012 | DOI Listing |
NMR Biomed
October 2025
High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.
View Article and Find Full Text PDFVet Surg
September 2025
Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Objective: To determine if a novel robotic system has comparable positional and angular accuracy to that achievable with patient-specific guides (PSG) when used for transcondylar screw (TCS) placement in the canine humerus.
Study Design: Experimental laboratory study.
Sample Population: A total of 32 synthetic humeral models (16 per group).
Surg Innov
September 2025
General Surgery Department, HM Hospitales, Facultad HM de Ciencias de la Salud de la Universidad Camilo José Cela, Hospital Universitario HM Sanchinarro, Instituto de Investigación Sanitaria HM Hospitales, Madrid, Spain.
IntroductionVascular infiltration is the main limitation of resectability in locally advanced pancreatic cancer; thus, an accurate preoperative study is mandatory to plan an appropriate surgical strategy. In recent years, medical image fusion and three-dimensional reconstruction models have gained acceptance in general surgery, especially in the hepatic field. In pancreatic pathology, 3D reconstruction also may improves preoperative staging.
View Article and Find Full Text PDFMed Phys
August 2025
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Background: Low-field MRI provides superior soft-tissue contrast compared to CT while costing significantly less than high-field MRI, which makes it a more accessible option for MRI-guided radiation therapy planning. Four-dimensional MRI (4D-MRI) is a technique that has been increasingly adopted clinically for internal target volume (ITV) delineation in free-breathing liver radiotherapy planning, and it requires high spatial resolution and accurate respiratory phase differentiation to enable precise dose planning. The feasibility of 4D-MRI at low-field strength, specifically at 0.
View Article and Find Full Text PDFExplor Target Antitumor Ther
August 2025
Department of Microbiology, Immunology & Pathology, Des Moines University College of Osteopathic Medicine, West Des Moines, IA 50266, USA.
Cancer is the second leading cause of death globally and in the United States, second only to cardiovascular disease. Unlike many cardiovascular conditions, cancer is often less preventable, manageable, and curable-even with ongoing technological advancements in medicine. The adverse effects of cancer treatments on cancer patients remain profound due to shared cellular characteristics between cancerous and normal cells; one of the primary adverse effects is treatment-induced inflammation.
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