Ultrasound for Breast Cancer Screening in Resource-Limited Settings: Current Practice and Future Directions

Author:

Dan Qing1,Zheng Tingting1,Liu Li1,Sun Desheng1,Chen Yun1

Affiliation:

1. Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China

Abstract

Breast cancer (BC) is the most prevalent cancer among women globally. Cancer screening can reduce mortality and improve women’s health. In developed countries, mammography (MAM) has been primarily utilized for population-based BC screening for several decades. However, it is usually unavailable in low-resource settings due to the lack of equipment, personnel, and time necessary to conduct and interpret the examinations. Ultrasound (US) with high detection sensitivity for women of younger ages and with dense breasts has become a supplement to MAM for breast examination. Some guidelines suggest using US as the primary screening tool in certain settings where MAM is unavailable and infeasible, but global recommendations have not yet reached a unanimous consensus. With the development of smart devices and artificial intelligence (AI) in medical imaging, clinical applications and preclinical studies have shown the potential of US combined with AI in BC screening. Nevertheless, there are few comprehensive reviews focused on the role of US in screening BC in underserved conditions, especially in technological, economical, and global perspectives. This work presents the benefits, limitations, advances, and future directions of BC screening with technology-assisted and resource-appropriate strategies, which may be helpful to implement screening initiatives in resource-limited countries.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Shenzhen Science and Technology Innovation Commission

Guangdong High-Level Hospital Construction Fund

Sanming Project of Medicine in Shenzhen

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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