Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
J Endourol. 2022 Nov;36(11):1405-1410. doi: 10.1089/end.2022.0039. Epub 2022 Oct 11.
Proper control of irrigation flowrate during ureteroscopy is important to manage thermal and pressure risks. This task is challenging because flowrate is not directly measured by commercially available ureteroscopic or fluid management systems. However, flowrate can be calculated using a hydrodynamic relationship based on measurable values during ureteroscopy. Objectives of this study were to (1) calculate inflow resistance for different working channel conditions and then using these values and (2) calculate irrigation flowrate and determine its accuracy across a range of renal pelvis pressures. A 16 L container was filled with deionized water and connected by irrigation tubing to a 9.6F single-use ureteroscope. Inflow resistance was determined by plotting flowrate (mass of fluid collected from ureteroscope tip in 60 seconds) irrigation pressure (range 0-200 cmHO). Next, the tip of the ureteroscope was inserted into the renal pelvis of a silicone kidney-ureter model and renal pelvis pressure was measured. In conjunction with the previously determined inflow resistance and known irrigation pressure values, flowrate was calculated and compared with experimentally measured values. All trials were performed in triplicate for working channel conditions: empty, 200 μm laser fiber, 365 μm laser fiber, and 1.9F stone basket. Flowrate was linearly dependent on irrigation pressure for each working channel condition. Inflow resistance was determined to be 5.0 cmHO/(mL/min) with the 200 μm laser fiber in the working channel and calculated flowrates were within 1 mL/min of measured flowrates. Similar results were seen with a 365 μm laser fiber, and 1.9F basket. Utilizing renal pelvis pressure measurements, flowrate was accurately calculated across a range of working channel conditions and irrigation pressures. Incorporation of this methodology into future ureteroscopic systems that measure intrarenal pressure could provide a real-time readout of flowrate for the urologist and thereby enhance safety and efficiency of laser lithotripsy.
输尿管镜检查过程中,适当控制灌流率对于管理热和压力风险非常重要。这是一项具有挑战性的任务,因为商业上可用的输尿管镜或流体管理系统并不能直接测量灌流率。然而,可以使用基于输尿管镜检查过程中可测量值的流体动力学关系来计算灌流率。本研究的目的是:(1)计算不同工作通道条件下的流入阻力,然后使用这些值;(2)计算灌流率并确定其在一系列肾盂压力下的准确性。将 16L 容器装满去离子水,并通过灌流管连接到 9.6F 一次性使用输尿管镜。通过绘制灌流率(60 秒内从输尿管镜尖端收集的液体量)与灌流压力(范围 0-200cmH2O)的关系来确定流入阻力。然后,将输尿管镜尖端插入硅酮肾输尿管模型的肾盂内,并测量肾盂压力。结合之前确定的流入阻力和已知的灌流压力值,计算出灌流率并与实验测量值进行比较。所有试验均在三种工作通道条件下重复进行:空、200μm 激光光纤、365μm 激光光纤和 1.9F 取石篮。对于每种工作通道条件,灌流率均与灌流压力呈线性相关。在工作通道中有 200μm 激光光纤时,流入阻力被确定为 5.0cmH2O/(mL/min),计算出的灌流率与测量出的灌流率相差 1mL/min 以内。对于 365μm 激光光纤和 1.9F 取石篮,也得到了类似的结果。利用肾盂压力测量值,可以在各种工作通道条件和灌流压力下准确计算灌流率。将这种方法纳入测量肾内压力的未来输尿管镜系统中,可以为泌尿科医生提供实时的灌流率读数,从而提高激光碎石术的安全性和效率。