Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

Abstract

Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventually help reduce the women mortality rate. Reliability issues limit the current clinical detection techniques, such as Ultra-Sound, Mammography, and Magnetic Resonance Imaging (MRI) from screening images for precise elucidation. The capability to detect a tumor in early diagnosis, expensive, relatively long waiting time due to pandemic and painful procedure for a patient to perform. This article aims to review breast cancer screening methods and recent technological advancements systematically. In addition, this paper intends to explore the progression and challenges of AI in breast cancer detection. The next state of the art between image and signal processing will be presented, and their performance is compared. This review will facilitate the researcher to insight the view of breast cancer detection technologies advancement and its challenges.

Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review

“…was reported as limited ( n = 15). These limitations concern patient confidentiality, regulations, institutional policies, or different interests of stakeholders [ 10 , 23 , 29 , 30 ].…”

miR-125 in Breast Cancer Etiopathogenesis: An Emerging Role as a Biomarker in Differential Diagnosis, Regenerative Medicine, and the Challenges of Personalized Medicine

“…Recently developed techniques for BC diagnosis include Digital Breast Tomosynthesis (DBT), which is a subset of the mammography procedure [ 36 ], and the Contrast-enhanced digital mammography (CEDM), which represents the angiogenic pattern of the masses and allows depicting the anatomical information of the tissue [ 37 ]. Each of these methods has different subdivisions and their advantages and disadvantages have been discussed in the literature [ 38 , 39 , 40 ]. Although there are ways to improve these methods, it should be kept in mind that simultaneously combining multiple imaging techniques would significantly improve BC early detection [ 41 ].…”

Correlation Between Circulating Cell-Free DNA Levels and Breast Cancer Subtypes: A Prospective Observational Study

“…Moreover, unnecessary radiation exposure to false positives and delayed treatment for false negative subjects has also been a serious concern in the management of BC. Owing to this, clinicians have been propounding to revisit the standard methods for early detection of BC utilizing modern testing approaches to improve the accuracy of the detection and management of the disease [ 5 ].…”