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Objectives: To evaluate the inter-observer, intra-observer and intra-individual reliability of uroflowmetry and post-void residual urine (PVR) tests in adult men.
Methods: Healthy volunteers aged over 40 years were enrolled. Every participant underwent two sets of uroflowmetry and PVR tests with a 2-week interval between the tests. The uroflowmetry tests were interpreted by four urologists independently. Uroflowmetry curves were classified as bell-shaped, bell-shaped with tail, obstructive, restrictive, staccato, interrupted and tower-shaped and scored from 1 (highly abnormal) to 5 (absolutely normal). The agreements between the observers, interpretations and tests within individuals were analyzed using kappa statistics and intraclass correlation coefficients. Generalizability theory with decision analysis was used to determine how many observers, tests, and interpretations were needed to obtain an acceptable reliability (> 0.80).
Results: Of 108 volunteers, we randomly selected the uroflowmetry results from 25 participants for the evaluation of reliability. The mean age of the studied adults was 55.3 years. The intra-individual and intra-observer reliability on uroflowmetry tests ranged from good to very good. However, the inter-observer reliability on normalcy and specific type of flow pattern were relatively lower. In generalizability theory, three observers were needed to obtain an acceptable reliability on normalcy of uroflow pattern if the patient underwent uroflowmetry tests twice with one observation.
Conclusions: The intra-individual and intra-observer reliability on uroflowmetry tests were good while the inter-observer reliability was relatively lower. To improve inter-observer reliability, the definition of uroflowmetry should be clarified by the International Continence Society.
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http://dx.doi.org/10.1111/luts.12022 | DOI Listing |
Cureus
August 2025
General Medicine, Universidad de Ciencias Médicas (UCIMED), San José, CRI.
Many patients with injuries to their central nervous system, especially those who have had a stroke or a spinal cord injury, have neurogenic voiding dysfunction. It happens when patients can't control their bladder voluntarily, which can make them feel urgency, experience leaks, or have trouble emptying their bladder. If not treated right away, it can cause infections, damage to the bladder, or even kidney problems over time.
View Article and Find Full Text PDFNeurourol Urodyn
September 2025
Department of Urology, School of Medicine, Division of Pediatric Urology, Marmara University, Istanbul, Turkey.
Aim: Uroflowmetry (UF) is one of the most commonly used noninvasive tests in the evaluation of children with lower urinary tract symptoms (LUTS). However, studies have highlighted a weak agreement among experts interpreting voiding patterns. This study aims to assess the impact of Machine Learning (ML) models, which have become increasingly prevalent in medicine, on the interpretation of voiding patterns.
View Article and Find Full Text PDFAdv Urol
August 2025
Department of Urology and Andrology, Kansai Medical University, Hirakata, Osaka, Japan.
The study aims to determine the uroflowmetry parameters of patients undergoing artificial urinary sphincter (AUS) implantation. Hence, uroflowmetry results pre- and post-AUS implantation and differences according to patient background were evaluated. Thirty-five patients who underwent primary AUS implantation for severe stress urinary incontinence due to radical prostatectomy were enrolled.
View Article and Find Full Text PDFUrol Res Pract
July 2025
Department of Urology, All India Institute of Medical Sciences, Uttarakhand, India.
Objective: Dysfunctional voiding (DV) is an often-underdiagnosed condition primarily affecting younger patients with lower urinary tract symptoms (LUTS). Characterized by a lack of coordination between the detrusor muscle and the external urethral sphincter, DV commonly manifests as urinary frequency, urgency, and incontinence. Despite its significant impact, urodynamic studies (UDS), the gold standard for diagnosis, are frequently inaccessible in remote or under-resourced areas.
View Article and Find Full Text PDFUrology
August 2025
Ege University, Faculty of Medicine, Department of Pediatric Surgery, Division of Pediatric Urology, Izmir, Turkey.
Objective: To evaluate the potential of artificial intelligence (AI) and machine learning (ML) to objectively classify uroflowmetry curves, aiming to reduce variability and enhance diagnostic accuracy.
Methods: This cross-sectional study analyzed 586 uroflowmetry curves from children aged 5-17 years, excluding tests with voided volumes below 50% of expected bladder capacity. Curves were standardized per ICS recommendations (1 mm = 1 s on x-axis, 1mL/s on y-axis) and classified by three pediatric urology specialists into bell, tower, plateau, staccato, or interrupted patterns per ICCS definitions.