Detection of masses and calcifications by soft-copy reading: comparison of two postprocessing algorithms for full-field digital mammography |
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Authors: | Takayoshi Uematsu |
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Institution: | (1) Department of Breast Imaging and Breast Intervention, Breast Center and Department of Clinical Physiology, Shizuoka Cancer Center Hospital, Naga-Izumi, Shizuoka 411-8777, Japan |
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Abstract: | 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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Keywords: | Digital mammography Soft-copy reading Postprocessing algorithm ROC |
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