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

Authors :
Xiang Zhou
You-Lin Qiao
Huijiao Yan
Rengaswamy Sankaranarayanan
Mengmeng Jia
Yaqing Chen
Xi Lin
Partha Basu
Lingyun Bao
Anhua Li
Peifang Liu
Source :
Breast Cancer Research and Treatment. 181:589-597
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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. 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. 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. 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.

Details

ISSN :
15737217 and 01676806
Volume :
181
Database :
OpenAIRE
Journal :
Breast Cancer Research and Treatment
Accession number :
edsair.doi.dedup.....8bcc8e800c77ec7f9d7bc43e85e93d52