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Related Experiment Video

Updated: Jun 10, 2026

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Pattern-based information extraction from pathology reports for cancer registration.

Giulio Napolitano1, Colin Fox, Richard Middleton

  • 1Northern Ireland Cancer Registry, Centre for Public Health, Queen's University of Belfast, Mulhouse Building, Grosvenor Road, Belfast BT12 6BJ, Northern Ireland, UK. g.napolitano@qub.ac.uk

Cancer Causes & Control : CCC
|July 24, 2010
PubMed
Summary

Automatic extraction of pathology data from free-text reports achieved high precision and recall rates. This method significantly improves cancer registration completeness and accuracy.

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Area of Science:

  • Medical Informatics
  • Oncology
  • Pathology

Background:

  • Cancer registration relies on accurate pathology data.
  • Manual extraction from free-text reports is time-consuming and prone to errors.
  • Automated methods can enhance data collection efficiency.

Purpose of the Study:

  • Evaluate precision and recall for automatic information extraction from pathology reports.
  • Assess the impact of pattern-based methods on cancer registration completeness.

Main Methods:

  • Scanned over 300,000 electronic pathology reports.
  • Used Perl routines for extracting Gleason score, Clark level, and Breslow depth.
  • Evaluated performance on a test set of 915 reports.

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Last Updated: Jun 10, 2026

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Main Results:

  • Achieved recall rates exceeding 98% and precision rates over 99%.
  • Demonstrated a potential increase in cancer staging completeness of up to 32%.

Conclusions:

  • Simple pattern matching in free-text pathology reports effectively improves data completeness.
  • Automated extraction enhances the accuracy of pathology information for cancer registration.