Gärtner Marcel, Krhut Jan, Hurtik Petr, Burda Michal, Zvarova Katarina, Zvara Peter
Department of Obstetrics and Gynecology, University Hospital, Ostrava, Czech Republic.
Department of Urology, University Hospital, Ostrava, Czech Republic.
Low Urin Tract Symptoms. 2018 Jan;10(1):12-16. doi: 10.1111/luts.12134. Epub 2016 Jun 12.
Sonouroflowmetry represents a novel method for estimating urinary flow parameters. The aim of this study was to compare the urinary flow parameters acquired using sonouroflowmetry with those of standard uroflowmetry in healthy female volunteers.
Thirty-six healthy female volunteers (aged 25-54 years) were subjected to standard uroflowmetry. Simultaneously, subjects dialed a dedicated number on a mobile phone and kept recording until urination was finished. Sound data were analyzed and compared to the uroflowmetry data. Of 218 recordings, 183 were included in the final analysis. Thirty-four measurements were excluded for voided volume <150 mL or technical problems during the recording. A linear model was fitted to calculate the urinary flow parameters and the voided volume from data obtained by sonouroflowmetry. Subsequently the matching datasets of UF and SUF were compared with respect to flow time, voided volume, maximum (Q ) and average (Q ) flow rate. Pearson's correlation coefficient (PCC) was used to compare parameters recorded by uroflowmetry with those calculated based on sonouroflowmetry recordings.
A strong correlation (PCC = 0.95) was noted between uroflowmetry recorded flow time and duration of the sonouroflowmetry sound signal. The voided volume measured by uroflowmetry showed a moderate correlation (PCC = 0.68) with the calculated area under the sonouroflowmetry curve. Q recorded using uroflowmetry and sonouroflowmetry recorded peak sound intensity showed a weak correlation (PCC = 0.38).
This study validates the basic concept of using sound analysis to estimate urinary flow parameters and voided volume.
超声尿流测定法是一种估算尿流参数的新方法。本研究的目的是比较健康女性志愿者使用超声尿流测定法获取的尿流参数与标准尿流率测定法的参数。
36名健康女性志愿者(年龄25 - 54岁)接受标准尿流率测定。同时,受试者拨打手机上的一个专用号码并持续记录直至排尿结束。对声音数据进行分析并与尿流率测定数据进行比较。在218次记录中,183次纳入最终分析。34次测量因排尿量<150 mL或记录过程中的技术问题被排除。拟合线性模型以根据超声尿流测定法获得的数据计算尿流参数和排尿量。随后,就排尿时间、排尿量、最大(Q )和平均(Q )流速而言,比较了尿流率(UF)和超声尿流率(SUF)的匹配数据集。使用皮尔逊相关系数(PCC)比较尿流率测定记录的参数与基于超声尿流测定记录计算的参数。
尿流率测定记录的排尿时间与超声尿流测定声音信号持续时间之间存在强相关性(PCC = 0.95)。尿流率测定法测量的排尿量与超声尿流测定曲线下计算面积之间显示出中度相关性(PCC = 0.68)。尿流率测定法记录的Q与超声尿流测定记录的峰值声音强度显示出弱相关性(PCC = 0.38)。
本研究验证了使用声音分析估算尿流参数和排尿量的基本概念。