Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy

被引:128
作者
Burnside, Elizabeth S.
Ochsner, Jennifer E.
Fowler, Kathryn J.
Fine, Jason P.
Salkowski, Lonie R.
Rubin, Daniel L.
Sisney, Gale A.
机构
[1] Univ Wisconsin, Sch Med, Dept Radiol, Clin Sci Ctr, Madison, WI 53792 USA
[2] Washington Univ, Sch Med, Edward Mallinckrodt Inst Radiol, St Louis, MO 63110 USA
[3] Univ Wisconsin, Dept Stat, Madison, WI 53792 USA
[4] Univ Wisconsin, Dept Biosta & Med Informat, Madison, WI 53792 USA
[5] Stanford Univ, Sect Med Informat, Stanford, CA 94305 USA
关键词
D O I
10.1148/radiol.2422052130
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To retrospectively evaluate whether microcalcification descriptors and the categorization of microcalcification descriptors in the Breast Imaging Reporting and Data System (BI-RADS) 4th edition help stratify the risk of malignancy, by using biopsy and clinical follow-up as reference standards. Materials and Methods: The institutional review board approved this HIPAA-compliant study and waived informed consent. The study included 115 women (age range, 26 - 82 years; mean age, 55.8 years +/- 10.5 [standard deviation]) who consecutively underwent image-guided biopsy of microcalcifications between November 2001 and October 2002. Screening and diagnostic mammograms (including magnification views) obtained before biopsy were analyzed in a blinded manner by a subspecialty-trained breast imager who recorded BI-RADS descriptors on a checklist. The proportion of malignant cases was used as the outcome variable to evaluate the ability of the descriptors to help capture the risk of malignancy. Fisher exact test was used to calculate the difference among the individual descriptors and descriptor categories. Results: The positive predictive value of biopsy for malignancy was 21.7%. Each calcification morphologic descriptor was able to help stratify the probability of malignancy as follows: coarse heterogeneous, one (7%) of 14; amorphous, four (13%) of 30; fine pleomorphic, 10 (29%) of 34; and fine linear, 10 (53%) of 19. Fisher exact test results revealed a significant difference among these descriptor categories (P = .005). Significant differences among the risks suggested by microcalcification distribution descriptors (P = .004) and between that of stability descriptors (P = .001) were found. Conclusion: The microcalcification descriptors and categories in BI-RADS 4th edition help predict the risk of malignancy for suspicious microcalcifications.
引用
收藏
页码:388 / 395
页数:8
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