Jan Krhut1,2, Marcel Gärtner3, Radek Sýkora1, Petr Hurtík4, Michal Burda4, Libor Luňáček1, Katarína Zvarová5, Peter Zvara2,6. 1. Department of Urology, University Hospital, Ostrava, Czech Republic. 2. Department of Surgical Studies, Ostrava University, Ostrava, Czech Republic. 3. Department of Obstetrics and Gynecology, University Hospital, Ostrava, Czech Republic. 4. Institute for Research and Applications of Fuzzy Modeling, Centre of Excellence IT4Innovations, Ostrava University, Ostrava, Czech Republic. 5. Department of Physiology, Slovak Medical University, Bratislava, Slovakia. 6. Department of Surgery, University of Vermont, Burlington, Vermont, USA.
Abstract
OBJECTIVES: To evaluate the accuracy of sonouroflowmetry in recording urinary flow parameters and voided volume. METHODS: A total of 25 healthy male volunteers (age 18-63 years) were included in the study. All participants were asked to carry out uroflowmetry synchronous with recording of the sound generated by the urine stream hitting the water level in the urine collection receptacle, using a dedicated cell phone. From 188 recordings, 34 were excluded, because of voided volume <150 mL or technical problems during recording. Sonouroflowmetry recording was visualized in a form of a trace, representing sound intensity over time. Subsequently, the matching datasets of uroflowmetry and sonouroflowmetry were compared with respect to flow time, voided volume, maximum flow rate and average flow rate. Pearson's correlation coefficient was used to compare parameters recorded by uroflowmetry with those calculated based on sonouroflowmetry recordings. RESULTS: The flow pattern recorded by sonouroflowmetry showed a good correlation with the uroflowmetry trace. A strong correlation (Pearson's correlation coefficient 0.87) was documented between uroflowmetry-recorded flow time and duration of the sound signal recorded with sonouroflowmetry. A moderate correlation was observed in voided volume (Pearson's correlation coefficient 0.68) and average flow rate (Pearson's correlation coefficient 0.57). A weak correlation (Pearson's correlation coefficient 0.38) between maximum flow rate recorded using uroflowmetry and sonouroflowmetry-recorded peak sound intensity was documented. CONCLUSIONS: The present study shows that the basic concept utilizing sound analysis for estimation of urinary flow parameters and voided volume is valid. However, further development of this technology and standardization of recording algorithm are required.
OBJECTIVES: To evaluate the accuracy of sonouroflowmetry in recording urinary flow parameters and voided volume. METHODS: A total of 25 healthy male volunteers (age 18-63 years) were included in the study. All participants were asked to carry out uroflowmetry synchronous with recording of the sound generated by the urine stream hitting the water level in the urine collection receptacle, using a dedicated cell phone. From 188 recordings, 34 were excluded, because of voided volume <150 mL or technical problems during recording. Sonouroflowmetry recording was visualized in a form of a trace, representing sound intensity over time. Subsequently, the matching datasets of uroflowmetry and sonouroflowmetry were compared with respect to flow time, voided volume, maximum flow rate and average flow rate. Pearson's correlation coefficient was used to compare parameters recorded by uroflowmetry with those calculated based on sonouroflowmetry recordings. RESULTS: The flow pattern recorded by sonouroflowmetry showed a good correlation with the uroflowmetry trace. A strong correlation (Pearson's correlation coefficient 0.87) was documented between uroflowmetry-recorded flow time and duration of the sound signal recorded with sonouroflowmetry. A moderate correlation was observed in voided volume (Pearson's correlation coefficient 0.68) and average flow rate (Pearson's correlation coefficient 0.57). A weak correlation (Pearson's correlation coefficient 0.38) between maximum flow rate recorded using uroflowmetry and sonouroflowmetry-recorded peak sound intensity was documented. CONCLUSIONS: The present study shows that the basic concept utilizing sound analysis for estimation of urinary flow parameters and voided volume is valid. However, further development of this technology and standardization of recording algorithm are required.
Authors: Seung-Min Park; Daeyoun D Won; Brian J Lee; Diego Escobedo; Andre Esteva; Amin Aalipour; T Jessie Ge; Jung Ha Kim; Susie Suh; Elliot H Choi; Alexander X Lozano; Chengyang Yao; Sunil Bodapati; Friso B Achterberg; Jeesu Kim; Hwan Park; Youngjae Choi; Woo Jin Kim; Jung Ho Yu; Alexander M Bhatt; Jong Kyun Lee; Ryan Spitler; Shan X Wang; Sanjiv S Gambhir Journal: Nat Biomed Eng Date: 2020-04-06 Impact factor: 25.671
Authors: Dong-Gi Lee; Jonathan Gerber; Vinaya Bhatia; Nicolette Janzen; Paul F Austin; Chester J Koh; Sang Hoon Song Journal: Int Neurourol J Date: 2021-12-31 Impact factor: 2.835