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Estimating postvoid residual volume without measuring residual bladder volume during serial cystometrograms

机译:估算后异形残留体积而不测量连续膀胱卷曲图中的残留膀胱体积

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摘要

The postvoid residual volume (PVR) is a common urodynamic parameter used to quantify the severity of lower urinary tract dysfunction. However, the serial cystometrograms that are typically used to assess bladder function in animal models make measuring PVR very difficult. Current approaches are to either remove PVR after each void to measure it, which is disruptive to the bladder, or to neglect the unknown contribution to PVR from ureter flow, which results in inaccurate estimates. We propose a procedure to estimate PVR during a serial cystometrogram that requires only a single measurement, rather than measuring after each void. Moreover, this measurement can occur at the end of the experiment such that it does not affect the bladder during data collection. We mathematically express PVR for all voids during a serial cystometrogram using a linear recurrence equation and use this equation to build an estimation procedure for PVR. Using in vivo measurements in urethane anesthetized rats and computer simulations we show that the estimation procedure is at least as accurate in determining PVR as the traditional method of measuring PVR after each void. Furthermore, we demonstrate the adverse effects of repeated PVR measurements in a common animal model of cystitis. Using the proposed procedure can increase the efficiency and accuracy of determining PVR for a serial cystometrogram and is less disruptive to the system under study. This, in turn, allows the calculation of other urodynamic parameters that are critical for research studies, including voiding efficiency and bladder capacity.
机译:后样残留体积(PVR)是一种常见的尿动力学参数,用于量化低尿道功能障碍的严重程度。然而,通常用于评估动物模型中膀胱功能的连续胱芯图使得测量PVR非常困难。当前方法是在每个空隙后去除PVR以测量它,这对膀胱破坏,或忽视从输尿管流量的PVR的未知贡献,这导致不准确的估计。我们提出了一种过程来估计PVR在串行胱芯图中,其需要仅需要单一测量,而不是在每个空隙之后测量。此外,该测量可以在实验结束时发生,使得在数据收集期间不会影响膀胱。我们使用线性复发方程在串行复发方程期间向所有空隙进行数学方式表达PVR,并使用该方程来构建PVR的估计过程。在氨基甲酸酯麻醉大鼠和计算机模拟中使用体内测量,我们表明估计程序至少在确定PVR作为在每个空隙后测量PVR的传统方法的准确性。此外,我们证明了重复的PVR测量在膀胱炎的常见动物模型中的不利影响。使用所提出的程序可以提高确定PVR的效率和准确性,用于串行胱汇集图,并且对研究中的系统较小。反过来,这允许计算对研究研究至关重要的其他尿动动力学参数,包括排尿效率和膀胱容量。

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