Literature DB >> 25454100

Breast imaging reporting and data system (BI-RADS) lexicon for breast MRI: interobserver variability in the description and assignment of BI-RADS category.

Mona El Khoury1, Lucie Lalonde2, Julie David2, Maude Labelle2, Benoit Mesurolle3, Isabelle Trop2.   

Abstract

PURPOSE: To retrospectively evaluate interobserver variability between breast radiologists when describing abnormal enhancement on breast MR examinations and assigning a BI-RADS category using the Breast Imaging Reporting and Data System (BI-RADS) terminology.
MATERIALS AND METHODS: Five breast radiologists blinded to patients' medical history and pathologic results retrospectively and independently reviewed 257 abnormal areas of enhancement on breast MRI performed in 173 women. Each radiologist described the focal enhancement using BI-RADS terminology and assigned a final BI-RADS category. Krippendorff's α coefficient of agreement was used to asses interobserver variability.
RESULTS: All radiologists agreed on the morphology of enhancement in 183/257 (71%) lesions, yielding a substantial agreement (Krippendorff's α=0.71). Moderate agreement was obtained for mass descriptors - shape, margins and internal enhancement - (α=0.55, 0.51 and 0.45 respectively) and NME (non-mass enhancement) descriptors - distribution and internal enhancement - (α=0.54 and 0.43). Overall substantial agreement was obtained for BI-RADS category assignment (α=0.71). It was however only moderate (α=0.38) for NME compared to mass (α=0.80).
CONCLUSION: Our study shows good agreement in describing mass and NME on a breast MR examination but a better agreement in predicting malignancy for mass than NME.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  BI-RADS lexicon; Breast cancer; MRI

Mesh:

Year:  2014        PMID: 25454100     DOI: 10.1016/j.ejrad.2014.10.003

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


  5 in total

1.  Can we apply the MRI BI-RADS lexicon morphology descriptors on contrast-enhanced spectral mammography?

Authors:  Rasha M Kamal; Maha H Helal; Sahar M Mansour; Marwa A Haggag; Omniya M Nada; Iman G Farahat; Nelly H Alieldin
Journal:  Br J Radiol       Date:  2016-06-21       Impact factor: 3.039

2.  A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.

Authors:  Liuquan Cheng; Xiru Li; Yuting Zhong; Menglu Li; Jingjin Zhu; Boya Zhang; Mei Liu; Zhili Wang; Jiandong Wang; Yiqiong Zheng
Journal:  Quant Imaging Med Surg       Date:  2022-07

3.  Harmonization of Quantitative Parenchymal Enhancement in T1 -Weighted Breast MRI.

Authors:  Bas H M van der Velden; Michael J van Rijssel; Beatrice Lena; Marielle E P Philippens; Claudette E Loo; Max A A Ragusi; Sjoerd G Elias; Elizabeth J Sutton; Elizabeth A Morris; Lambertus W Bartels; Kenneth G A Gilhuijs
Journal:  J Magn Reson Imaging       Date:  2020-06-03       Impact factor: 4.813

4.  Breast MRI: does a clinical decision algorithm outweigh reader experience?

Authors:  Nina Pötsch; Aida Korajac; Philipp Stelzer; Panagiotis Kapetas; Ruxandra-Iulia Milos; Matthias Dietzel; Thomas H Helbich; Paola Clauser; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2022-07-19       Impact factor: 7.034

5.  Robustness of radiomics to variations in segmentation methods in multimodal brain MRI.

Authors:  M G Poirot; M W A Caan; H G Ruhe; A Bjørnerud; I Groote; L Reneman; H A Marquering
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

  5 in total

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