Clinical application of the BI-RADS final assessment to breast sonography in conjunction with mammography

Eun Kyung Kim, Hee Ko Kyung, Keun Oh Ki, Young Kwak Jin, Kyung You Jai, Jung Kim Min, Byoung Woo Park

Research output: Contribution to journalArticle

102 Citations (Scopus)

Abstract

OBJECTIVE. The objective of our study was to report the results of classification of sonographic findings according to BI-RADS and to calculate the positive predictive value (PPV) for each BI-RADS assessment category. SUBJECTS AND METHODS. We prospectively classified 4,668 breast sonograms according to BI-RADS final assessment category. Suspicious sonographic findings were divided into major and minor suspicious findings. Category 1 was normal and category 2 was a benign finding such as cyst or nodule with uniform and intense hyperechogenicity. A nodule neither category 2 nor category 4 or 5 was defined as category 3. A nodule with one or more suspicious findings, not category 5, was defined as category 4. A nodule with two or more major suspicious findings was defined as category 5. RESULTS. Of the 4,668 cases, 321 cases failed to undergo follow-up of at least 1 year. The PPV was 0.1% in category 1 (3/2,191), 0% in category 2 (0/773), 0.8% in category 3 (6/737), 31.1% in category 4 (161/519), and 96.9% in category 5 (123/127). In palpable lesions (n = 751), the PPV was 2.2% in category 1 (2/93), 0.9% in category 3 (2/217), 54% in category 4 (107/198), and 98% in category 5 (98/100). In nonpalpable lesions (n = 3,596), the PPV was 0.05% in category 1 (1/2,098), 0.8% in category 3 (4/520), 16.8% in category 4 (54/321), and 92.6% in category 5 (25/27). CONCLUSION. As with mammography, placing sonographic lesions into BI-RADS categories is useful for predicting the presence of malignancy.

Original languageEnglish
Pages (from-to)1209-1215
Number of pages7
JournalAmerican Journal of Roentgenology
Volume190
Issue number5
DOIs
Publication statusPublished - 2008 May 1

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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