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Updated: Jun 8, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Computer-aided detection system applied to full-field digital mammograms.

Alfonso Vega Bolivar1, Sonia Sánchez Gomez, Paula Merino

  • 1Department of Radiology, Universitary Marqu é s of Valdecilla Hospital, Santander, Spain. avegab@telefonica.ne

Acta Radiologica (Stockholm, Sweden : 1987)
|October 2, 2010
PubMed
Summary

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Computer-aided detection (CAD) demonstrated high sensitivity in identifying breast cancers on full-field digital mammograms (FFDM). This advanced tool effectively detected various cancer types and sizes, improving diagnostic accuracy.

Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Biomedical Engineering

Background:

  • Mammography is the standard for breast cancer screening, but its sensitivity ranges from 75-92%.
  • Computer-aided detection (CAD) systems have been developed to enhance the accuracy of mammographic cancer detection.

Purpose of the Study:

  • To retrospectively evaluate the sensitivity and false-positive rate of CAD.
  • To assess CAD performance using full-field digital mammograms (FFDM).

Main Methods:

  • CAD was applied to 151 FFDM cases (48 ductal carcinoma in situ, 103 invasive breast cancers).
  • Sensitivity was analyzed based on breast density, presentation, histology, and lesion size.
  • False-positive rate was determined using screening FFDMs from 200 women.

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Last Updated: Jun 8, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Main Results:

  • CAD detected 93% of all cancers, with higher sensitivity in fatty breasts (97%) and lower in extremely dense breasts (80%).
  • Sensitivity was high for calcifications (98%) and masses (89%), and maintained for small lesions (1-20 mm).
  • The false-positive rate was 2.5 marks per case.

Conclusions:

  • CAD with FFDM shows high sensitivity for detecting cancers presenting as calcifications or masses.
  • CAD maintains sensitivity for small lesions and invasive lobular carcinomas, improving upon mammography's limitations.