Literature DB >> 19567644

Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses.

Nouf Abdullah1, Benoît Mesurolle, Mona El-Khoury, Ellen Kao.   

Abstract

PURPOSE: To retrospectively evaluate the interobserver agreement of radiologists who used the Breast Imaging Reporting and Data System (BI-RADS) lexicon to characterize and categorize ultrasonographic (US) features of breast masses.
MATERIALS AND METHODS: No institutional review board approval or patient consent was required. Five breast radiologists retrospectively independently evaluated 267 breast masses (113 benign and 154 malignant masses in 267 patients) by using the BI-RADS US lexicon. Reviewers were blinded to mammographic images, medical history, and pathologic findings. Interobserver agreement was assessed with the Aickin revised kappa statistic.
RESULTS: Interobserver agreement varied from fair for evaluation of mass margins (kappa = 0.36) to moderate for evaluation of lesion boundary (kappa = 0.48), echo pattern (kappa = 0.58), and posterior acoustic features (kappa = 0.47) to substantial for evaluation of mass orientation (kappa = 0.70) and shape (kappa = 0.64). For small (< or =0.7 cm; n = 49) or malignant (n = 154) masses, low concordance was noted for margin descriptors (kappa = 0.30 and 0.28, respectively) and BI-RADS category (kappa = 0.21 and 0.26, respectively). Overall, only fair agreement was obtained for BI-RADS category (kappa = 0.30). Agreement for subdivisions 4a, 4b, and 4c of BI-RADS category 4 was fair (kappa = 0.33), fair (kappa = 0.32), and poor (kappa = 0.17), respectively.
CONCLUSION: Reproducibility of US BI-RADS terminology is good except for margin evaluation. A trend toward lower concordance was noted for the evaluation of small masses and malignant lesions. Classification into subdivisions 4a, 4b, and 4c was poorly reproducible.

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Year:  2009        PMID: 19567644     DOI: 10.1148/radiol.2523080670

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  60 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
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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.  Ultrasonographic findings of triple-negative breast cancer.

Authors:  Hai-Yan Du; Bao-Rong Lin; Du-Ping Huang
Journal:  Int J Clin Exp Med       Date:  2015-06-15

4.  Additional diagnostic value of shear-wave elastography and color Doppler US for evaluation of breast non-mass lesions detected at B-mode US.

Authors:  Ji Soo Choi; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Jung Hee Shin; Ga Ram Kim
Journal:  Eur Radiol       Date:  2016-01-19       Impact factor: 5.315

5.  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

6.  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

7.  Characterisation of indeterminate focal breast lesions on grey-scale ultrasound: role of ultrasound elastography.

Authors:  T V Bartolotta; R Ienzi; A Cirino; C Genova; F Ienzi; D Pitarresi; E Safina; M Midiri
Journal:  Radiol Med       Date:  2011-03-07       Impact factor: 3.469

8.  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

9.  Non-mass-like lesions on breast ultrasound: classification and correlation with histology.

Authors:  Zhi Li Wang; Nan Li; Min Li; Wen Bo Wan
Journal:  Radiol Med       Date:  2015-03-01       Impact factor: 3.469

10.  Three-dimensional shear-wave elastography for differentiating benign and malignant breast lesions: comparison with two-dimensional shear-wave elastography.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son; Jin Chung; Jeong-Ah Kim; Eun-Kyung Kim
Journal:  Eur Radiol       Date:  2012-12-02       Impact factor: 5.315

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