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Related Experiment Videos

Computerised assessment of maximum urinary flow: an efficient, consistent and valid approach.

Wim P J Witjes1, Jean J M C H de la Rosette, Annelise van den Berg-Segers

  • 1Department of Urology, University Medical Centre St. Radboud/Curatrail SMO & Research, Nijmegen, The Netherlands. w.witjes@curatrial.com

European Urology
|June 21, 2002
PubMed
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A new computerized method accurately assesses maximum urinary flow (MUF) in patients with lower urinary tract symptoms. This automated approach reduces variability and improves consistency in clinical trials.

Area of Science:

  • Urology
  • Medical Technology
  • Clinical Trials

Background:

  • Accurate quantitative assessment of maximum urinary flow (MUF) is crucial for evaluating lower urinary tract symptoms.
  • Variability in manual assessment by experts and artifacts can affect the reliability of MUF measurements.

Purpose of the Study:

  • To evaluate the relative accuracy of a computerized method for quantitatively assessing maximum urinary flow.
  • To compare the computerized method's results against expert assessments in a clinical trial setting.

Main Methods:

  • 1147 uroflow measurements were analyzed using a computerized method and compared with assessments from three European experts.
  • Statistical analysis included assessing the proportion of automated values within an extended expert range and concordance coefficients.

Related Experiment Videos

  • Paired Student's t-tests were used to determine average differences between expert and computer assessments.

    • Main Results:

    • The computerized method showed high agreement rates (95-100%) with expert assessments across different factors like visit, machine type, and country.
    • Concordance coefficients indicated good agreement between the automated method and expert evaluations.
    • While some experts showed statistically significant differences with the computer, others did not, suggesting high consistency.

    Conclusions:

    • The computerized assessment significantly reduces variability in maximum urinary flow measurements caused by artifacts and inter-observer differences.
    • This automated approach offers an efficient, consistent, and valid method for quantitative MUF assessment in clinical trials.