Literature DB >> 32338323

Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts.

Mengmeng Jia1, Xi Lin2, Xiang Zhou1, Huijiao Yan1, Yaqing Chen3, Peifang Liu4, Lingyun Bao5, Anhua Li2, Partha Basu6, Youlin Qiao7, Rengaswamy Sankaranarayanan8.   

Abstract

PURPOSE: As an adjunct to mammography, ultrasound can improve the detection of breast cancer in women with dense breasts. We aimed to evaluate the diagnostic performance of automated breast ultrasound system (ABUS) and handheld ultrasound (HHUS) in Chinese women with dense breasts, both in combination with mammography and separately.
METHODS: This is a cross-sectional multicenter clinical research study. Nine hundred and thirty-seven women with dense breasts underwent ABUS, HHUS, and mammography at one of five tertiary-care hospitals. The diagnostic performance of ABUS and HHUS was evaluated in combination with mammography, or separately in women with mammography-negative dense breasts. The agreement between ABUS and HHUS in breast cancer detection was also assessed.
RESULTS: The sensitivity of the combination of ABUS or HHUS with mammography was 99.1% (219/221), and the specificities were 86.9% (622/716) and 84.9% (608/716), respectively. The area under the curve was 0.93 for ABUS combined with mammography and 0.92 for that of HHUS combined with mammography. Statistically significant agreement between ABUS and HHUS in breast cancer detection was observed (percent agreement = 0.94, κ = 0.85). The incremental cancer detection rate in mammography-negative dense breasts was 42.8 per 1000 ultrasound examinations.
CONCLUSIONS: Both ABUS and HHUS as adjuncts to mammography can significantly improve the breast cancer detection rate in women with dense breasts, and there is a strong correlation between them. Given the high prevalence of dense breasts and the multiple advantages of ABUS over HHUS, such as less operator dependence and reproducibility, ABUS showed great potential for use in breast cancer early detection, especially in resource-limited areas.

Entities:  

Keywords:  Breast density; Breast neoplasms; Mammography; Ultrasonography

Year:  2020        PMID: 32338323     DOI: 10.1007/s10549-020-05625-2

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  7 in total

Review 1.  BI-RADS 3 on Screening Breast Ultrasound: What Is It and What Is the Appropriate Management?

Authors:  Wendie A Berg
Journal:  J Breast Imaging       Date:  2021-08-15

2.  Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound.

Authors:  Qiucheng Wang; He Chen; Gongning Luo; Bo Li; Haitao Shang; Hua Shao; Shanshan Sun; Zhongshuai Wang; Kuanquan Wang; Wen Cheng
Journal:  Eur Radiol       Date:  2022-04-30       Impact factor: 7.034

Review 3.  Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review.

Authors:  Shahad A Ibraheem; Rozi Mahmud; Suraini Mohamad Saini; Hasyma Abu Hassan; Aysar Sabah Keiteb; Ahmed M Dirie
Journal:  Diagnostics (Basel)       Date:  2022-02-19

4.  Stiffness in breast masses with posterior acoustic shadowing: significance of ultrasound real time shear wave elastography.

Authors:  Hui Luo; Jian Li; Yang Shi; Xiaojun Xiao; Yuanyang Wang; Zhanghong Wei; Jinfeng Xu
Journal:  BMC Med Imaging       Date:  2022-04-17       Impact factor: 2.795

5.  Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.

Authors:  Qiucheng Wang; Bo Li; Zhao Liu; Haitao Shang; Hui Jing; Hua Shao; Kexin Chen; Xiaoshuan Liang; Wen Cheng
Journal:  BMC Cancer       Date:  2022-08-28       Impact factor: 4.638

6.  Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound Based on Characteristics of CAD Marks and False-Positive Marks.

Authors:  Jeongmin Lee; Bong Joo Kang; Sung Hun Kim; Ga Eun Park
Journal:  Diagnostics (Basel)       Date:  2022-02-24

7.  The hidden breast lesions: A case report of bilateral breast cancer.

Authors:  Chaochao Dai; Lingyun Bao; Yanjuan Tan; Chenxiang Jiang
Journal:  J Clin Ultrasound       Date:  2021-12-25       Impact factor: 0.869

  7 in total

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