Parametrical Uroflowmetry Analysis for BPH and OAB Differentiation
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Solution Overview
Problem
Current methods struggle to accurately differentiate between low urinary tract disorder symptoms caused by benign prostatic hyperplasia (BPH) and overactive bladder (OAB) in men, leading to inadequate treatment selection due to the inability to distinguish between obstructive and non-obstructive urological disorders.
Innovation Solution
Parametrical analysis of uroflowmetry test results, including primary and secondary urine flow dynamic parameters, is employed to identify the type of urological disorder, using a predictive model that considers patient-specific data such as gender, age, and medical history to differentiate between BPH and OAB.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional uroflowmetry measurement is used, then basic urine flow parameters can be obtained, but accurate differentiation between BPH and OAB cannot be achieved
Solution Approach 1:
The patent segments the urine flow measurement into multiple dynamic parameters including flow rate, voiding time, time to maximum flow, and secondary derived parameters. This segmentation allows comprehensive analysis of different aspects of urinary function to differentiate between BPH and OAB conditions.
Solution Approach 2:
The patent transitions from single-point flow rate measurement to multi-dimensional analysis by incorporating time-based dynamics (voiding time, time to Qmax), flow patterns, and secondary parameters. This dimensional expansion enables more accurate diagnostic differentiation.
2Reliability
If empirical therapy is used, then treatment can be initiated quickly, but treatment efficacy is reduced due to incorrect diagnosis
Solution Approach 1:
The patent performs preliminary diagnostic analysis using parametrical assessment of uroflowmetry data before initiating treatment. By calculating multiple flow parameters and comparing them against established criteria, the system determines the likely diagnosis (BPH vs OAB) in advance, ensuring appropriate treatment selection.
Solution Approach 2:
The patent utilizes changes in multiple urine flow parameters (Qmax, voiding time, time to Qmax, flow patterns) to diagnose the underlying condition. Different parameter combinations and their relationships provide diagnostic information that guides treatment selection, improving reliability without excessive time loss.
Data Source
AI summary
Parametrical analysis of uroflowmetry test results identifies urological disorders so as to distinguish men who have a low urinary tract disorder/benign prostatic hyperplasia from those who have an overactive bladder. Primary urine flow dynamic parameters and secondary urine flow dynamic parameters are calculated. Patient's urological disorders can be assessed by comparing the primary and secondary urine flow dynamic parameters with a library or database of comparable data derived from healthy or normal individuals as well as comparable data derived from individuals afflicted with specific urological disorders. A predictive model of lower urinary tract function disorders can be developed from existing reference primary and secondary urine flow dynamic parameters. The model allows for complex analysis and objective disease prediction.