Related Experiment Video
Updated: Apr 27, 2026

13:44
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
42.6K
Interpreting one-view mammographic findings: minimizing callbacks while maximizing cancer detection.
Catherine S Giess1, Elisabeth P Frost, Robyn L Birdwell
1From the Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115.
Summary
Breast tissue overlap on mammograms can obscure cancers or create false alarms. Radiologists must learn to distinguish true abnormalities from summation shadows for accurate breast cancer detection.
Area of Science:
- Radiology
- Medical Imaging
- Breast Imaging
Background:
- Mammograms involve compressing and positioning the breast, leading to tissue overlap.
- Fibroglandular tissue overlap, or summation shadows, often appears on only one mammographic view.
- Variability in breast positioning affects mammography more than other imaging due to fewer fixed landmarks.
Purpose of the Study:
- To raise awareness of factors causing false positives or missed breast cancers on mammograms.
- To review cases where false positives and cancers were visible on only one mammographic view.
- To outline strategies for interpreting screening mammograms and identifying findings requiring further evaluation.
Main Methods:
- Review of mammography cases with findings visible on a single view.
- Analysis of factors contributing to obscured breast cancers or false-positive interpretations.
- Development of strategies for differentiating summation shadows from true lesions.
Main Results:
- Breast cancer can be hidden by dense tissue, technique, lesion characteristics, or lack of effect on surrounding tissue.
- Summation shadows are common and can mimic abnormalities on mammograms.
- Subtle changes on a single view may be the only sign of breast cancer.
Conclusions:
- Accurate mammographic interpretation requires visual compensation for tissue overlap.
- Minimizing false positives and aiding cancer detection involves understanding factors leading to single-view findings.
- Strategies for evaluating single-view abnormalities are crucial for effective screening mammography.

