Literature DB >> 23849390

Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses.

Lin Chen1, Yue Chen, Xue-Hong Diao, Liang Fang, Yun Pang, Ai-Qun Cheng, Wei-Ping Li, Yi Wang.   

Abstract

The automated breast volume scanner (ABVS) represents a new technology for diagnosing breast masses. In this study, a total of 219 breast masses in 175 patients underwent both conventional handheld B-mode ultrasound (HHUS) and ABVS examinations, and the differences in the diagnostic values of the two modalities for benign and malignant breast masses were compared with the final pathologic findings. In addition, the diagnostic accuracy for breast masses with features including retraction phenomenon and hyperechoic rim in the coronal plane of the ABVS was evaluated. There were no differences between the ABVS and HHUS in terms of sensitivity (92.5% vs. 88.0%), specificity (86.2% vs. 87.5%), accuracy (88.1% vs. 87.2%), false-positive rate (13.8% vs. 12.5%), false-negative rate (11.8% vs. 7.5%), positive predictive value (74.7% vs. 75.6%) and negative predictive value (96.3% vs. 94.3%) (p > 0.05 for all). However, there were significant differences between the malignant and benign masses with respect to retraction phenomenon and hyperechoic rim in the coronal plane of the ABVS. For retraction phenomenon, both the specificity and positive predictive value of a malignant diagnosis reached 100%, and the accuracy and false-positive rate were 96.8% and 0, respectively; for the hyperechoic rim, the specificity, negative predictive value and accuracy of a benign diagnosis were 92.8%, 95.3% and 95.9%, respectively. Overall, ABVS is a promising modality for the clinical diagnosis of breast masses with retraction phenomenon and hyperechoic rim in the coronal plane, although the ABVS and HHUS do not differ in diagnostic accuracy for the differentiation of malignant or benign breast masses. 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved

Entities:  

Keywords:  Automated breast volume scanner; Breast cancer; Ultrasonography

Mesh:

Year:  2013        PMID: 23849390     DOI: 10.1016/j.ultrasmedbio.2013.04.003

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


  13 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.  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

3.  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

Review 4.  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

5.  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

6.  Automated Breast Ultrasound System for Breast Cancer Evaluation: Diagnostic Performance of the Two-View Scan Technique in Women with Small Breasts.

Authors:  Bo Ra Kwon; Jung Min Chang; Soo Yeon Kim; Su Hyun Lee; Soo Yeon Kim; So Min Lee; Nariya Cho; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-01       Impact factor: 3.500

7.  The value of automated breast volume scanner combined with virtual touch tissue quantification in the differential diagnosis of benign and malignant breast lesions: A comparative study with mammography.

Authors:  Junli Wang; Hongjie Fan; Yuting Zhu; Chunyun Shen; Banghong Qiang
Journal:  Medicine (Baltimore)       Date:  2021-04-23       Impact factor: 1.817

8.  Evaluation of Different Breast Cancer Screening Strategies for High-Risk Women in Beijing, China: A Real-World Population-Based Study.

Authors:  Xi Zhang; Lei Yang; Shuo Liu; Huichao Li; Qingyu Li; Yangyang Cheng; Ning Wang; Jiafu Ji
Journal:  Front Oncol       Date:  2021-11-04       Impact factor: 6.244

9.  Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis.

Authors:  Xiaohui Zhang; Juan Chen; Yidong Zhou; Feng Mao; Yan Lin; Songjie Shen; Qiang Sun; Zhaolian Ouyang
Journal:  Gland Surg       Date:  2019-12

10.  Evaluation of automated breast volume scanner for breast conservation surgery in ductal carcinoma in situ.

Authors:  Anqian Huang; Luoxi Zhu; Yanjuan Tan; Jian Liu; Jingjing Xiang; Qingqing Zhu; Lingyun Bao
Journal:  Oncol Lett       Date:  2016-07-29       Impact factor: 2.967

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