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Computer-aided Detection System for Breast Masses on Digital Tomosynthesis Mammograms: Preliminary Experience¹

¹ From the Department of Radiology, University of Michigan, 1500 E Medical Center Dr, UHB1F510B, Ann Arbor, MI 48109-0030 (H.P.C., J.W., B.S., M.A.R., L.M.H., M.A.H.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (E.A.R., T.W., R.H.M., D.B.K.). Received September 27, 2004; revision requested December 2; revision received December 20; accepted January 12, 2005. Work conducted at the University of Michigan supported by USPHS grants CA91713 and CA95153 and U.S. Army Medical Research and Materiel Command grant DAMD17-02-1-0214. The development of the prototype digital breast tomosynthesis system and the clinical trial were supported by USAMRMC grant DAMD17-98-1-8309 awarded to Massachusetts General Hospital. Address correspondence to H.P.C. (e-mail: chanhp{at}umich.edu).

The purpose of the study was to design a computer-aided detection (CAD) system for breast mass detection on digital breast tomosynthesis (DBT) mammograms and to perform a preliminary evaluation of the performance of this system. Twenty-six patients were imaged with a prototype DBT system. Institutional review board approval and written informed patient consent were obtained. Use of the data set in this study was HIPAA compliant. The CAD system first screened the three-dimensional volume of the mass candidates by means of gradient-field analysis. Each mass candidate was segmented from the structured background, and its image features were extracted. A feature classifier was designed to differentiate true masses from normal tissues. The CAD system was trained and tested by using a leave-one-case-out method. The classifier calculated a mean area under the test receiver operating characteristic curve of 0.91 ± 0.03 (standard error of mean). The CAD system achieved a sensitivity of 85%, with 2.2 false-positive objects per case. The results demonstrate the feasibility of the authors' approach to the development of a CAD system for DBT mammography.

© RSNA, 2005

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