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Updated: Mar 17, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
Published on: March 12, 2019
Can a quantitative means be used to predict flow patterns: Agreement between visual inspection vs. flow index derived
Israel Franco1, Jacob Franco2, Yong Seung Lee3
1Yale/New Haven Hospital Section of Pediatric Urology New Haven, CT, USA.
A new quantitative method using the flow index (FI) shows substantial agreement in defining uroflowmetry curve shapes in children. This approach reduces subjectivity in assessing lower urinary tract symptoms, improving diagnostic objectivity.
Area of Science:
- Pediatric Urology
- Diagnostic Imaging
- Medical Device Technology
Background:
- Uroflowmetry is crucial for evaluating pediatric lower urinary tract symptoms.
- Current interpretation of uroflowmetry curve shapes (bell, tower, plateau) suffers from significant intra- and interobserver variability.
- Previous research indicated a correlation between the flow index (FI) and uroflow curve shapes in children.
Purpose of the Study:
- To test the hypothesis that FI-defined uroflowmetry curve shapes are as accurate or superior to current subjective grading systems.
- To introduce objectivity and enhance comparability in uroflowmetry assessments by reducing observer bias.
Main Methods:
- A review of consecutive uroflowmetry studies from two centers in children evaluated for lower urinary tract symptoms.
- Comparison of visually assessed curve shapes (bell, plateau, tower) with quantitative FI-derived patterns (FI = Qmax/estimated Qmax).
- Experienced readers at each institution performed curve shape assessments.
Main Results:
- Analysis included 591 males and 1039 females; 409 males and 819 females had curves classified as bell, tower, or plateau.
- Substantial agreement (kappa = 0.71) was observed in males using a 3x3 matrix.
- Moderate agreement (kappa = 0.52) was found in females using receiver operating characteristic cutoffs, with similar results for 1 SD cutoff (kappa = 0.51).
Conclusions:
- The FI method demonstrates substantial to moderate agreement for defining uroflowmetry curve shapes, offering a more quantitative approach.
- While FI-derived shapes show accuracy comparable to or exceeding visual inspection, cutoffs remain somewhat arbitrary.
- This quantitative system has the potential to significantly decrease ambiguity in uroflowmetry interpretation, particularly in transitional curve zones.
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