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116379

Breast Cancer Detection Using Automated Breast Ultrasound in Mammographically Dense Breasts

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Last updated: 22 Jan 2023

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Abstract

Abstract Background: Automated Breast Ultrasound technology (ABUS) allows the radiologist to interpret ultrasonography images in a separate time after acquisition. Different interpre-tation times have been reported, ranging from 5 to 10min, probably according to differences in readers' experience and complexity of each case. Aim of Study: To detect the impact of ABUS technique's advantages, pearls and pitfalls combining with mammography compared with mammography alone, significantly improved detection of breast cancers in women with dense breast tissue without substantially affecting specificity. Patients and Methods: This cross-sectional study was conducted on of 20 women at Radiodiagnosis Department, Shoubra General Hospital referred from surgery clinic during a period of about one year. The study was limited to only females who were willingness to undergo additional investi-gations after being diagnosed as dense breast on mammo-graphy. Results: We found that cases with ABUS study shows sensitivity about (60%) which is more than that of mammogram (30%) but less than HHUS (80%); while ABUS (70%) was less specific than both mammogram (100%) and HHUS (90%). Accuracy of HHUS (85%) was more than that of both mam-mogram (65%) and ABUS (65%), with p-value (0.257) to both mammogram and ABUS, and (0.008) to HHUS. Conclusion: Adding automated breast ultrasound to mam-mography is of great value in detection of breast cancer in mammographically dense breasts. It increases the detection rate of breast lesions mostly cancer. It is important as screening tool to decrease doses of radiation that female exposed to while mammogram screening.

DOI

10.21608/mjcu.2020.116379

Keywords

breast cancer, Automated breast ultrasound, Dense breasts

Authors

First Name

SHERINE K. AMIN, M.D.;

Last Name

MOHAMED G. ABDEL MUTALEB, M.D.

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LATIFA

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E. GAD, M.Sc.

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Affiliation

The Department of Radiodiagnosis, Faculty of Medicine, Ain Shams University

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Volume

88

Article Issue

September

Related Issue

14147

Issue Date

2020-09-01

Receive Date

2020-06-01

Publish Date

2020-09-01

Page Start

1,715

Page End

1,723

Print ISSN

0045-3803

Online ISSN

2536-9806

Link

https://mjcu.journals.ekb.eg/article_116379.html

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https://mjcu.journals.ekb.eg/service?article_code=116379

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32

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Original Article

Type Code

263

Publication Type

Journal

Publication Title

The Medical Journal of Cairo University

Publication Link

https://mjcu.journals.ekb.eg/

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Article

Created At

22 Jan 2023