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Related Experiment Videos

Screening mammograms: interpretation with computer-aided detection--prospective evaluation.

Marilyn J Morton1, Dana H Whaley, Kathleen R Brandt

  • 1Divisions of Breast Imaging and Intervention and Biostatistics, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA. maorton.marilyn@mayo.edu

Radiology
|March 30, 2006
PubMed
Summary

Computer-aided detection (CAD) systems improve breast cancer detection rates in screening mammograms. While CAD use slightly increases recall rates and benign biopsies, it enhances overall cancer identification.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Screening mammography is crucial for early breast cancer detection.
  • Computer-aided detection (CAD) systems aim to improve mammogram interpretation accuracy.
  • Evaluating the impact of CAD on key performance metrics is essential.

Purpose of the Study:

  • To prospectively assess the effect of a commercial computer-aided detection (CAD) system on screening mammogram interpretations.
  • To determine CAD's impact on breast cancer detection rates, recall rates, and positive predictive value (PPV).

Main Methods:

  • A prospective study involving 21,349 screening mammograms from 18,096 women.
  • Mammograms were interpreted first without CAD, then with CAD review.
  • Key metrics analyzed included cancer detection rate, recall rate, and PPV for biopsy.

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Main Results:

  • CAD use increased breast cancer detection by 7.62% (8 additional cancers).
  • The recall rate increased from 9.84% to 10.77%.
  • The positive predictive value (PPV) for biopsy slightly decreased from 41.0% to 40.8%.

Conclusions:

  • Computer-aided detection (CAD) systems enhance breast cancer detection in screening mammography.
  • The observed increase in recall rates and benign biopsies was acceptable.
  • CAD systems represent a valuable tool for improving mammographic screening outcomes.