Literature DB >> 17531417

Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound.

Hye-Jeong Lee1, Eun-Kyung Kim, Min Jung Kim, Ji Hyun Youk, Ji Young Lee, Dae Ryong Kang, Ki Keun Oh.   

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.

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Year:  2007        PMID: 17531417     DOI: 10.1016/j.ejrad.2007.04.008

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  54 in total

1.  A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability.

Authors:  Sun Mi Kim; Heon Han; Jeong Mi Park; Yoon Jung Choi; Hoi Soo Yoon; Jung Hee Sohn; Moon Hee Baek; Yoon Nam Kim; Young Moon Chae; Jeon Jong June; Jiwon Lee; Yong Hwan Jeon
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

2.  Computer-aided classification of breast masses: performance and interobserver variability of expert radiologists versus residents.

Authors:  Swatee Singh; Jeff Maxwell; Jay A Baker; Jennifer L Nicholas; Joseph Y Lo
Journal:  Radiology       Date:  2010-10-22       Impact factor: 11.105

3.  Lexicon for standardized interpretation of gamma camera molecular breast imaging: observer agreement and diagnostic accuracy.

Authors:  Amy Lynn Conners; Carrie B Hruska; Cindy L Tortorelli; Robert W Maxwell; Deborah J Rhodes; Judy C Boughey; Wendie A Berg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-06       Impact factor: 9.236

4.  Observer Variability of the Breast Imaging Reporting and Data System (BI-RADS) Lexicon for Mammography.

Authors:  Zehra H Adibelli; Ruken Ergenc; Ozgur Oztekin; Suheyla Ecevit; Gokhan Unal; Yusuf Abal
Journal:  Breast Care (Basel)       Date:  2010-02-16       Impact factor: 2.860

5.  Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

Authors:  Xuejun Qian; Jing Pei; Hui Zheng; Xinxin Xie; Lin Yan; Hao Zhang; Chunguang Han; Xiang Gao; Hanqi Zhang; Weiwei Zheng; Qiang Sun; Lu Lu; K Kirk Shung
Journal:  Nat Biomed Eng       Date:  2021-04-19       Impact factor: 25.671

6.  Additional diagnostic value of MRI in patients with suspicious breast lesions based on ultrasound.

Authors:  O Sarica; F Uluc
Journal:  Br J Radiol       Date:  2014-07-01       Impact factor: 3.039

7.  Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation.

Authors:  Eda Elverici; Ayşe Nurdan Barça; Hafize Aktaş; Arzu Özsoy; Betül Zengin; Mehtap Çavuşoğlu; Levent Araz
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

8.  A preliminary study to propose a diagnostic algorithm for PET/CT-detected incidental breast lesions: application of BI-RADS lexicon for US in combination with SUVmax.

Authors:  Mehrdad Bakhshayeshkaram; Yalda Salehi; Mehrshad Abbasi; Razieh Hashemi Beni; Sharareh Seifi; Maryam Hassanzad; Hamid Reza Jamaati; Farahnaz Aghahosseini
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

9.  Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study.

Authors:  A Thomas Stavros; Andrea G Freitas; Giselle G N deMello; Lora Barke; Dennis McDonald; Terese Kaske; Ducly Wolverton; Arnold Honick; Daniela Stanzani; Adriana H Padovan; Ana Paula C Moura; Marilia C V de Campos
Journal:  Eur Radiol       Date:  2017-04-10       Impact factor: 5.315

10.  Effect of training on ultrasonography (US) BI-RADS features for radiology residents: a multicenter study comparing performances after training.

Authors:  Jung Hyun Yoon; Hye Sun Lee; You Me Kim; Ji Hyun Youk; Sung Hun Kim; Sun Hye Jeong; Ji Young Hwang; Jin Hee Moon; Young Mi Park; Min Jung Kim
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

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