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Published online before print January 22, 2004, 10.1148/radiol.2303030089
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Computer-aided Classification of BI-RADS Category 3 Breast Lesions1

Shalom S. Buchbinder, MD, Isaac S. Leichter, PhD, Richard B. Lederman, MD, Boris Novak, PhD, Philippe N. Bamberger, PhD, Miryam Sklair-Levy, MD, Gail Yarmish, MD and Scott I. Fields, MD

1 From the Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY (S.S.B., G.Y.); School of Engineering, Jerusalem College of Technology, Israel (I.S.L., B.N., P.N.B.); and Department of Radiology, Hadassah University Hospital, Jerusalem, Israel (R.B.L., M.S.L., S.I.F.). From the 2002 RSNA scientific assembly. Received January 16, 2003; revision requested March 25; revision received July 29; accepted September 5. Address correspondence to S.S.B., Staten Island University Hospital, 475 Seaview Ave, Staten Island, NY 10305-3498 (e-mail: sbuchbinder@siuh.edu).



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Figure 1.  ROC curve for CAC system performance assessed with the jackknife method. The three points on either side of the curve represent the lesion score-based limits. Az = area under the curve.

 


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Figure 2.  Bar graph shows the distribution of pathologically proved benign and malignant lesions among BI-RADS categories 1-5 after classification by the CAC system. Note that the likelihood of malignancy increases consistently from the lower-number categories to the higher-number categories.

 





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