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Updated: Jun 22, 2026
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Detection of masses and calcifications by soft-copy reading: comparison of two postprocessing algorithms for
1Department of Breast Imaging and Breast Intervention, Breast Center and Department of Clinical Physiology, Shizuoka Cancer Center Hospital, Naga-Izumi, Shizuoka, 411-8777, Japan. t.uematsu@scchr.jp
Purpose:
The purpose of this study was to determine the effects of a commercially available postprocessing algorithm on the detection of masses and microcalcifications of breast cancer by soft-copy reading.
Materials And Methods:
The study included 64 digital mammograms with 16 histologically proven abnormal findings (eight masses and eight microcalcifications) and 48 normal breasts. Two image-processing algorithms were applied to the digital images, which were acquired using General Electric units. The commercially available advanced and standard postprocessed digital mammograms were evaluated in a localization receiver operating characteristic (ROC) curve experiment involving seven mammography radiographers.
Results:
The mean area under the ROC curve was 0.921 +/- 0.022 for the commercially available advanced postprocessed digital mammograms session and 0.904 +/- 0.026 for the standard postprocessed digital mammograms session (P = 0.1953). Observer agreement among the readers was better for the advanced postprocessed digital mammograms than for the standard postprocessed digital mammograms.
Conclusion:
During soft-copy reading, the interpretation accuracy might be influenced by the postprocessing algorithm.
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