Abstract
We performed a reading session to examine the validity of computer- aided detection for mammograms using a 3-megapixel liquid crystal display (LCD). Digital mammograms of 225 patients (ROLAD M-IV and FCR9000, 100 (/pixel), were divided into 3 data sets (each set consisting of 75 patients, including 30 with pathologically proven breast cancer) for this reading session. Fifteen physicians interpreted these three data set using 3 different imaging modalities; hard copy, LCD without computer-aided detection (CAD), and LCD with CAD. Then they categorized the images into 4 ranks according to the confidential levels of cancer. Sensitivity and specificity were calculated individually for each of the 3 different modalities, and then ROC analysis was performed. The sensitivity, specificity, and Az values showed no significant differences between LCD with out CAD and hard copy. Also, no significant differences were found between LCD with CAD and the other modalities for these 3 values. The results of this study indicate that it is reasonable to use a 3-megapixel LCD for interpretation of digital mammograms instead of conventional hard copy. Nevertheless, because the usefulness of the CAD system has not been fully ascertained, further studies are required.
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References
Freer, T.W., Ulissey, M.J.: Screening Mammography with Computer-aided Detection: Prospective Study of 12,860 Patients in a Community Breast Center. Radiology 220, 781–786 (2001)
Helvie, M.A., Hadjiiski, L., Chan, H.-P., et al.: Sensitivity of Noncommercial Computer-aided Detection System for Mammographic Breast Cancer Detection: Pilot Clinical Trial. Radiology 231, 208–214 (2004)
Astley, S.M., Gilbert, F.J.: Computer-aided detection in mammography. Clinical Radiology 59, 390–399 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Kuroki, Y., Nawano, S., Kobatake, H., Uchiyama, N., Shimura, K., Matano, K. (2006). Computer-Aided Detection of Breast Cancer Using an Ultra High-Resolution Liquid Crystal Display: Reading Session Analysis. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_13
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DOI: https://doi.org/10.1007/11783237_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
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