Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: Suction has recently been introduced into the ureteroscopic armamentarium to improve stone fragment and debris clearance. However, the benefits of suction appear to be limited by current irrigation systems. This study aimed to measure the time to clear sand ureteroscopically from a transparent silicone kidney-ureter model at different flowrates and compare with results with conventional pressurized irrigation and intermittent suction.

Methods: A LithoVue™ Elite ureteroscope was inserted through a Clear Petra 11/13 Fr 46 cm or 12/14 Fr 50 cm FANS device into a transparent silicone kidney model. Irrigation was delivered from a peristaltic pump at rates of 18-90 ml/min with pump assisted outflow or from a pressurized source with suction assisted outflow. Intrarenal pressure (IRP) was maintained between 30-40 cmHO. Trials were conducted to measure the time required to completely aspirate 0.5 g of sand from the mid and upper calyces.

Results: Sand was cleared more quickly from the kidney model as flowrate increased up to ~ 70-80 ml/min. Use of continuous flowrate was more efficient at clearing sand than variable flowrate produced by bursts of intermittent suction.

Conclusions: Flowrate is a primary variable affecting efficiency of sand clearance in in vitro studies. Current clinical methods that utilize intermittent suction during ureteroscopy are likely less efficient than configurations that provide continuous flowrates. Incorporation of IRP feedback into irrigation systems may facilitate high flowrate while maintaining stable low IRP, thereby enhancing efficiency and safety of ureteroscopy.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00345-025-05708-zDOI Listing

Publication Analysis

Top Keywords

kidney model
12
sand clearance
8
irrigation systems
8
measure time
8
transparent silicone
8
assisted outflow
8
sand
6
flowrate
6
clearance flowrate
4
flowrate ureteroscopy
4

Similar Publications

The emergence of organoid models has significantly bridged the gap between traditional cell cultures/animal models and authentic human disease states, particularly for genetic disorders, where their inherent genetic fidelity enables more biologically relevant research directions and enhances translational validity. This review systematically analyzes established organoid models of genetic diseases across organs (e.g.

View Article and Find Full Text PDF

Objective: Determine whether acute kidney injury (AKI) is associated with subsequent late-onset infection (LOI) among extremely low gestational age newborns (ELGAN).

Study Design: Secondary analysis of participants in the Preterm Erythropoietin for Neuroprotection Trial. Infants surviving ≥7 days with sufficient serum creatinine data were included.

View Article and Find Full Text PDF

This study aimed to develop a predictive model and construct a graded nomogram to estimate the risk of severe acute kidney injury (AKI) in patients without preexisting kidney dysfunction undergoing liver transplantation (LT). Patients undergoing LT between January 2022 and June 2023 were prospectively screened. Severe AKI was defined as Kidney Disease: Improving Global Outcomes stage 3.

View Article and Find Full Text PDF

Lithium-induced kidney injury is commonly associated with the development of nephrogenic diabetes insipidus. Longer term lithium exposure is associated with the development of chronic interstitial fibrosis. The mechanisms of lithium-induced kidney injury are multifaceted, affecting many intracellular cell signaling pathways associated with cell cycle regulation, cell proliferation, and subsequent increased extracellular matrix formation and interstitial fibrosis.

View Article and Find Full Text PDF

Neoadjuvant immunochemotherapy (nICT) has demonstrated significant potential in improving pathological response rates and survival outcomes for patients with locally advanced esophageal squamous cell carcinoma (ESCC). However, substantial interindividual variability in therapeutic outcomes highlights the urgent need for more precise predictive tools to guide clinical decision-making. Traditional biomarkers remain limited in both predictive performance and clinical feasibility.

View Article and Find Full Text PDF