• Hye-Jeong Lee, Eun-Kyung Kim, Min Jung Kim, Ji Hyun Youk, Ji Young Lee, Dae Ryong Kang, and Ki Keun Oh.
• Department of Diagnostic Radiology, College of Medicine, Yonsei University, Seodaemun-ku Shinchon-dong 134, Seoul 120-752, South Korea.
• Eur J Radiol. 2008 Feb 1; 65 (2): 293-8.

PurposeTo evaluate inter- and intra-observer variabilities in breast sonographic feature analysis and management, using the fourth edition of the Breast Imaging Reporting and Data System (BI-RADS).Materials And MethodsWe included 136 patients with 150 breast lesions who underwent breast ultrasound (US) and ultrasound-guided core needle biopsy. A pathological diagnosis was available for all 150 lesions: 77 (51%) malignant and 73 (49%) benign. Four radiologists retrospectively reviewed sonographic images of lesions twice within an 8-week interval. The observers described each lesion, using BI-RADS descriptors and final assessment. Inter- and intra-observer variabilities were assessed with Cohen's kappa statistic. Positive predictive value and negative predictive value (NPV) for final assessment were also calculated.ResultsFor inter-observer agreements for sonographic descriptors, substantial agreement for lesion calcification and final assessment (kappa=0.61 for both), moderate agreement for lesion shape, orientation, boundary, and posterior acoustic features (kappa=0.49, 0.56, 0.59, and 0.49, respectively), and fair agreement for lesion margin and echo pattern (kappa=0.33 and 0.37, respectively) were obtained. For intra-observer agreement, substantial to perfect agreement was found for almost all lesion descriptors and final assessments. NPV for final assessment category 3 was 95%. Positive predictive value (PPV) for final assessment categorized as 4 or 5 were as follows: category 4a, 26%; category 4b, 89%; category 4c, 90%; and category 5, 97%.ConclusionBecause inter- and intra-observer agreement with the BI-RADS lexicon for US is good, the use of BI-RADS lexicon can provide accurate and consistent description and assessment for breast US.

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