These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound.
    Author: Lee HJ, Kim EK, Kim MJ, Youk JH, Lee JY, Kang DR, Oh KK.
    Journal: Eur J Radiol; 2008 Feb; 65(2):293-8. PubMed ID: 17531417.
    Abstract:
    PURPOSE: To 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 METHODS: We 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. RESULTS: For 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%. CONCLUSION: Because 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.
    [Abstract] [Full Text] [Related] [New Search]