HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Lehman, C. D. Articles by Chen, X. Search for Related Content PubMed PubMed Citation Articles by Lehman, C. D. Articles by Chen, X. Social Bookmarking                      What's this?

A New Automated Software System to Evaluate Breast MR Examinations: Improved Specificity Without Decreased Sensitivity

¹ All authors: Breast Imaging, Department of Radiology, University of Washington and the Seattle Cancer Care Alliance, 825 Eastlake Ave. East, G3-200 PO Box 19023, Seattle, WA 98109-1023.

OBJECTIVE. We sought to compare the accuracy of breast MRI interpretations with and without a new software application (CADstream) that provides automated evaluations of breast MR examinations.

MATERIALS AND METHODS. Thirty-three consecutive lesions seen only on MRI (nine malignant, 24 benign) were evaluated with and without the automated software system. Automated analyses of kinetic enhancement for each lesion were recorded at 50%, 80%, and 100% enhancement thresholds. Computer-assisted analyses included presence or absence of "significant" enhancement and classification of enhancement patterns into percent volumes of washout, plateau, and persistent enhancement. Fisher's exact tests were performed to compare the likelihood of malignancy based on the presence of software-defined significant enhancement at the three thresholds. Enhancement profiles of malignant versus benign lesions were compared using the Student's t test.

RESULTS. All malignant lesions showed significant enhancement at all thresholds. Compared with the unassisted interpretations, the computer-assisted analyses yielded false-positive rates that were reduced by 25% at a 50% threshold (not significant [NS]), 33% at an 80% threshold (p = 0.05), and 50% at a 100% threshold for enhancement (p < 0.01). There were no significant differences between enhancement profiles of benign and malignant lesions, with all lesions showing a wide range of washout, plateau, and persistent patterns of enhancement.

CONCLUSION. New automated software applied to interpret breast MR examinations accurately showed significant enhancement in all the malignant lesions while depicting 12 of 24 benign lesions as showing insignificant enhancement. If these results are validated by a larger study, the number of unnecessary biopsies of MR lesions could be reduced without a concomitant decrease in cancer detection.

Keywords: BI-RADS • breast cancer • computer-aided detection • mammography • MRI

CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				T. C. Williams, W. B. DeMartini, S. C. Partridge, S. Peacock, and C. D. Lehman Breast MR Imaging: Computer-aided Evaluation Program for Discriminating Benign from Malignant Lesions Radiology, July 1, 2007; 244(1): 94 - 103. [Abstract] [Full Text] [PDF]