Using computer-aided detection in mammography as a decision support

Eur Radiol. 2010 Oct;20(10):2323-30. doi: 10.1007/s00330-010-1821-8. Epub 2010 Jun 9.

Abstract

Objective: To evaluate an interactive computer-aided detection (CAD) system for reading mammograms to improve decision making.

Methods: A dedicated mammographic workstation has been developed in which readers can probe image locations for the presence of CAD information. If present, CAD findings are displayed with the computed malignancy rating. A reader study was conducted in which four screening radiologists and five non-radiologists participated to study the effect of this system on detection performance. The participants read 120 cases of which 40 cases had a malignant mass that was missed at the original screening. The readers read each mammogram both with and without CAD in separate sessions. Each reader reported localized findings and assigned a malignancy score per finding. Mean sensitivity was computed in an interval of false-positive fractions less than 10%.

Results: Mean sensitivity was 25.1% in the sessions without CAD and 34.8% in the CAD-assisted sessions. The increase in detection performance was significant (p = 0.012). Average reading time was 84.7 ± 61.5 s/case in the unaided sessions and was not significantly higher when interactive CAD was used (85.9 ± 57.8 s/case).

Conclusion: Interactive use of CAD in mammography may be more effective than traditional CAD for improving mass detection without affecting reading time.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / pathology*
  • Computers
  • Decision Support Techniques
  • Early Detection of Cancer
  • False Positive Reactions
  • Humans
  • Image Processing, Computer-Assisted
  • Mammography / methods*
  • Medical Oncology / methods
  • Observer Variation
  • Radiology / methods
  • Sensitivity and Specificity
  • Software
  • Time Factors
  • User-Computer Interface