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Ureteral Strictures Following Ureteroscopic Ureteral Wall Injury: A Previously Unidentified Concern “Presentation” Details Andrei Cumpanas presented a study on ureteral strictures following ureteroscopic ureteral wall injury, highlighting a previously unidentified concern. The study aimed to determine the risk of post-ureteroscopic ureteral stricture formation based on the depth of injury into the ureteral wall, revealing that stricture rates increase significantly when the ureteral wall is partially or fully transgre...
Initial Clinical Experience with a Combined Robotic Mini-Percutaneous Nephrolithotomy And Ureteroscopic Lithotripsy Platform “Presentation” Details Jamie Landman presented initial clinical experience with a combined robotic mini-percutaneous nephrolithotomy (mini-PCNL) and ureteroscopic lithotripsy platform for treating a large left-sided kidney stone burden. The Monarch Robotic Platform, featuring a robot with three arms, enables precise control of the ureteroscope and percutaneous instruments. The procedure involves robotic ureteroscopy, st...
Prospective Evaluation of Ureteral Wall Thickness (UWT) to Predict Spontaneous Stone Passage “Presentation” Details Andrei Cumpanas from UC Irvine presented a study on ureteral wall thickness and stone size's predictability for spontaneous stone passage, concluding that while thicker ureteral walls correlated with lower passage likelihood, it lost significance when adjusting for stone size. Biography: Andrei D. Cumpanas, MD, Researcher, Department of Urology, The University of California, Irvine, CA Read the Fu...
Immersive Virtual Reality for Percutaneous Nephrolithotomy (PCNL): “The More you Know, the Safer and More Effective the Outcome” “Presentation” Details Andrei Cumpanas from UC Irvine presented a study on using immersive virtual reality (IVR) models prior to percutaneous stone removal, showing that IVR improved surgeon understanding of case anatomy, altered calyx choice in 30% of cases, and led to better surgical outcomes with reduced complications. Biography: Andrei D. Cumpanas, MD, Researcher, Department of Urology, The University of California,...
Artificial Intelligence Convolutional Neural Network for Efficient and Accurate CT-based Stone Volume Determination “Presentation” Details Andrei Cumpanas presented a study on using an AI convolutional neural network to accurately determine CT-based stone volume, showing that the AI algorithm outperformed traditional ellipsoid formulas in accuracy and precision, especially for larger stones with irregular shapes. Biographies: Andrei D. Cumpanas, MD, Researcher, Department of Urology, The University of California, Irvine, CA Read the...
Assessing Alterations in Stone Burden Among Patients with Medullary Sponge Kidney: A Volumetric Approach “Presentation” Details Andrei Cumpanas presented a study on assessing alterations in stone burden among patients with Medullary Sponge Kidney (MSK), showing that CT reports often miss increases in stone volume in MSK patients, leading to a false sense of stable disease. Biography: Andrei D. Cumpanas, MD, Researcher, Department of Urology, The University of California, Irvine, CA Read the Full Video Transcript {article t...
Surgical Force-Correlating Science with Practice: A Study of the Fore Exerted by Urologists During Ureteral Access Sheath Placement “Presentation” Details Amir Lavasani from UC Irvine presented a study on the force exerted by urologists during ureteral access sheath placement, revealing that a significant percentage apply forces above recommended limits, risking high-grade ureteral injury. Biography: Seyed Amiryaghoub M. Lavasani, Clinical Researcher, Department of Urology, University of California, Irvine, CA Read the Full Video Transcript {article...
Immersive Virtual Reality (iVR) for Percutaneous Nephrolithotomy: The More You Know, the Better the Outcome Presentation - Andrei D. Cumpanas Details The study presented by Andrei Cumpanas examined the benefits of using an immersive virtual reality model before percutaneous stone removal in 125 patients. The study found that the use of immersive virtual reality resulted in an improved understanding of intra-renal anatomy, better surgical outcomes, and a reduced rate of complications. The group that viewed the virtual reality model had higher ra...
The Application of Artificial Intelligence for Renal Stone Volume Determination: Ready for Prime Time? - Andrei D. Cumpanas Details In a research presentation from Andrei Cumpanas, significant strides are shown in using artificial intelligence to accurately determine renal stone volume. Traditional linear measurements prove inaccurate due to stones' irregular shapes, leading the team to train an AI neural network for kidney segmentation and CT-based stone volume calculation. Cumpanas reports an impressive advancement in the ac...
Evaluation of Renal Stone and Stent Durability Following Resonance Stent Placement for Benign Disease Presentation - Kelvin Vo Details Kelvin Vo details the outcomes of 43 patients with resonance stents placed for benign ureteral obstructions. The study's goal is to seek the long-term impact of chronic resonance stent placement on renal function. They determined this using serum creatinine levels, estimated glomerular filtration rates, Lasix renal scans, and CT-based renal parenchymal volume measurements. Durability was measured...

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