Literature DB >> 21724355

Interobserver agreement for sonograms of breast lesions obtained by an automated breast volume scanner.

Jing Zhang1, Xing-Jian Lai, Qing-Li Zhu, Hong-Yan Wang, Yu-Xin Jiang, He Liu, Qing Dai, Shan-Shan You, Meng-Su Xiao, Qiang Sun.   

Abstract

OBJECTIVE: To evaluate the interobserver agreement of radiologists in the description and final assessment of breast sonograms obtained using an automated breast volume scanner (ABVS) using a unique descriptor of three-dimensional ultrasound (3D US) and the Breast Imaging Reporting and Data System (BI-RADS) US lexicon.
METHODS: From October to December 2010, 208 patients were subjected to an ABVS examination in the supine position, and data were automatically sent to the ABVS workstation. Two radiologists independently evaluated 234 breast masses (148 benign and 86 malignant masses) using a unique descriptor from the 3D US and the BI-RADS US lexicon. The reviewers were blinded to the patient's mammographic images, medical history, and pathologic findings. The interobserver agreement was measured using kappa statistics.
RESULTS: Substantial agreement was obtained for lesion shape, orientation, margin, echo pattern, posterior acoustic features, calcification and final assessment (κ=0.79, 0.74, 0.76, 0.69, 0.68, 0.71 and 0.70, respectively). Fair agreement was obtained for retraction phenomenon and lesion boundary (κ=0.54 and 0.42, respectively).
CONCLUSIONS: The interobserver agreement for breast sonograms obtained by ABVS is good, especially for lesion shape and margin; however, the interobserver agreement for the retraction phenomenon, which is a unique descriptor of coronal-plane 3D US, needs to be improved.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21724355     DOI: 10.1016/j.ejrad.2011.06.043

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


  12 in total

Review 1.  Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions.

Authors:  Zheying Meng; Cui Chen; Yitong Zhu; Shuling Zhang; Cong Wei; Bin Hu; Li Yu; Bing Hu; E Shen
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

2.  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

Review 3.  Automated breast ultrasound: basic principles and emerging clinical applications.

Authors:  Martina Zanotel; Iliana Bednarova; Viviana Londero; Anna Linda; Michele Lorenzon; Rossano Girometti; Chiara Zuiani
Journal:  Radiol Med       Date:  2017-08-28       Impact factor: 3.469

4.  The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound.

Authors:  Simone Schiaffino; Licia Gristina; Simona Tosto; Elena Massone; Sara De Giorgis; Alessandro Garlaschi; Alberto Tagliafico; Massimo Calabrese
Journal:  Radiol Med       Date:  2020-07-16       Impact factor: 3.469

5.  Combined use of the automated breast volume scanner and the US elastography for the differentiation of benign from malignant lesions of the breast.

Authors:  Chaoli Xu; Shuping Wei; Yingdong Xie; Xiaoxiang Guan; Ninghua Fu; Pengfei Huang; Bin Yang
Journal:  BMC Cancer       Date:  2014-11-03       Impact factor: 4.430

6.  Automated Breast Ultrasound: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features.

Authors:  Guoxue Tang; Xin An; Huiling Xiang; Lixian Liu; Anhua Li; Xi Lin
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

Review 7.  Automated Breast Ultrasound Screening for Dense Breasts.

Authors:  Sung Hun Kim; Hak Hee Kim; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-01       Impact factor: 3.500

8.  Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS).

Authors:  Sebastian Wojcinski; Samuel Gyapong; André Farrokh; Philipp Soergel; Peter Hillemanns; Friedrich Degenhardt
Journal:  BMC Med Imaging       Date:  2013-11-12       Impact factor: 1.930

9.  Interobserver agreement on the interpretation of automated whole breast ultrasonography.

Authors:  Eun Jeong Kim; Sung Hun Kim; Bong Joo Kang; Yun Ju Kim
Journal:  Ultrasonography       Date:  2014-04-21

10.  The Value of an Automated Ultrasound System in the Detection of Synovitis.

Authors:  Ruediger Mueller; Mathias Grunke; Jörg Wendler; Florian Schuch; Karina Hofmann-Preiss; Ina Boettger; Rüdiger Jakobs; Hendrik Schulze-Koops; Johannes von Kempis
Journal:  Ultrasound Int Open       Date:  2018-07-11
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