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Related Experiment Video

Updated: Jul 28, 2026

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

Computerised triage in a prostate assessment clinic.

G N Rajkumar1, D R Small, I G Conn

  • 1Department of Urology, Southern General Hospital, Glasgow, UK. radhraj@hotmail.com

Prostate Cancer and Prostatic Diseases
|June 4, 2004
PubMed
Summary

A new software package aids prostate outpatient management by scoring International Prostate Symptom Score (IPSS) and patient history. It shows promise, though uroflow results require further refinement.

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Area of Science:

  • Urology
  • Health Informatics
  • Medical Software Development

Background:

  • Effective management of prostate outpatients requires accurate assessment of symptoms, history, and laboratory results.
  • Current clinical workflows can be time-consuming and may benefit from automated decision support systems.
  • Standardized scoring systems like the International Prostate Symptom Score (IPSS) are crucial for consistent evaluation.

Purpose of the Study:

  • To develop and evaluate a user-friendly MS Office package for scoring IPSS, patient history, and guiding interim management in prostate outpatients.
  • To compare computer-generated management decisions with those of a consultant urologist.
  • To assess the system's potential for improving efficiency and accuracy in outpatient urological care.

Main Methods:

  • Development of an MS Office package using Excel and Visual Basic for data input (IPSS, history, lab results) and management rule implementation.
  • Patient interaction via a touch screen for IPSS and medical history input, stored in Excel spreadsheets.
  • Comparison of computer-driven management decisions against a consultant urologist's decisions for 139 patients.

Main Results:

  • The system achieved agreement with consultant urologist decisions in 106 out of 139 patients (76%).
  • Disagreements (33 patients) were primarily due to the computer's oversensitivity to uroflow results (21 cases).
  • In 12 cases, the urologist deviated from the system's rules when single variables were slightly abnormal.

Conclusions:

  • The developed software system demonstrates significant potential for user-friendly management of prostate outpatients.
  • The system effectively integrates patient data and established management rules to support clinical decision-making.
  • Further refinement, particularly regarding uroflowmetry interpretation, is needed to optimize performance, with artificial neural networks being investigated.

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