Literature DB >> 24035627

Diagnostic performance of automated breast ultrasound as a replacement for a hand-held second-look ultrasound for breast lesions detected initially on magnetic resonance imaging.

Eun Young Chae1, Hee Jung Shin, Hyun Ji Kim, Hyunkyung Yoo, Seunghee Baek, Joo Hee Cha, Hak Hee Kim.   

Abstract

To evaluate the diagnostic performance of automated breast ultrasound (ABUS) after breast magnetic resonance imaging (MRI) as a replacement for hand-held second-look ultrasound (HH-SLUS), we evaluated 58 consecutive patients with breast cancer who had additional suspicious lesions on breast MRI. All patients underwent HH-SLUS and ABUS. Three breast radiologists evaluated the detectability, location, characteristics and conspicuity of lesions on ABUS. We also evaluated inter-observer variability and compared the results with HH-SLUS results. Eighty additional suspicious lesions were identified on breast MRI. Fifteen of the 80 lesions (19%) were not detected on HH-SLUS. Eight of the 15 lesions (53%) were detected on ABUS, whereas the remaining 7 were not detected on ABUS. Among the 65 lesions detected on HH-SLUS, only 3 lesions were not detected on ABUS. The intra-class correlation coefficients for lesion location and size all exceeded 0.70, indicating high reliability. Moderate to fair agreement was found for mass shape, orientation, margin and Breast Imaging Reporting and Data System (BI-RADS) final assessment. Therefore, ABUS can reliably detect additional suspicious lesions identified on breast MRI and may help in the decision on biopsy guidance method (US vs. MRI) as a replacement tool for HH-SLUS.
Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automated ultrasound; Breast; Breast magnetic resonance imaging; Second-look ultrasound

Mesh:

Year:  2013        PMID: 24035627     DOI: 10.1016/j.ultrasmedbio.2013.07.005

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  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

Review 2.  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

Review 3.  Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review.

Authors:  Rongrong Guo; Guolan Lu; Binjie Qin; Baowei Fei
Journal:  Ultrasound Med Biol       Date:  2017-10-26       Impact factor: 2.998

4.  Comparison between automated breast volume scanner (ABVS) versus hand-held ultrasound as a second look procedure after magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Massimo Bazzocchi; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-01-24       Impact factor: 5.315

Review 5.  Current status of automated breast ultrasonography.

Authors:  Hee Jung Shin; Hak Hee Kim; Joo Hee Cha
Journal:  Ultrasonography       Date:  2015-03-23

6.  Breast MRI increases the number of mastectomies for ductal cancers, but decreases them for lobular cancers.

Authors:  Marc B I Lobbes; Ingeborg J H Vriens; Annelotte C M van Bommel; Grard A P Nieuwenhuijzen; Marjolein L Smidt; Liesbeth J Boersma; Thijs van Dalen; Carolien Smorenburg; Henk Struikmans; Sabine Siesling; Adri C Voogd; Vivianne C G Tjan-Heijnen
Journal:  Breast Cancer Res Treat       Date:  2017-01-28       Impact factor: 4.872

Review 7.  Automatic breast ultrasound: state of the art and future perspectives.

Authors:  Luca Nicosia; Federica Ferrari; Anna Carla Bozzini; Antuono Latronico; Chiara Trentin; Lorenza Meneghetti; Filippo Pesapane; Maria Pizzamiglio; Nicola Balesetreri; Enrico Cassano
Journal:  Ecancermedicalscience       Date:  2020-06-23

Review 8.  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

9.  Utility and Diagnostic Performance of Automated Breast Ultrasound System in Evaluating Pure Non-Mass Enhancement on Breast Magnetic Resonance Imaging.

Authors:  Bo Ra Kwon; Jung Min Chang; Soo Yeon Kim; Su Hyun Lee; Sung Ui Shin; Ann Yi; Nariya Cho; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-07-22       Impact factor: 3.500

10.  Density and tailored breast cancer screening: practice and prediction - an overview.

Authors:  Georg J Wengert; Thomas H Helbich; Panagiotis Kapetas; Pascal At Baltzer; Katja Pinker
Journal:  Acta Radiol Open       Date:  2018-09-17
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