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Breast mammography has gained popularity as the standard diagnostic screening tool in the women’s healthcare, aiding detection and intervention of breast cancers in early stages. Prevalence of breast cancer has been increasing significantly over the past few years. The American Cancer Society recorded over 245,000 new cases of breast cancer in 2016 in the U.S. Despite immense research, mammography alone is not effective for all populations of women, particularly in women having dense breast tissues.
Ultrasound has gained traction as more portable and less expensive diagnostic imaging tool, as compared to CT and MRI. However, several limitations are associated with the technology such as lengthy test durations, dependence on skill & expertise of operator. In a bid to resolve these concerns, prominent companies such as SonoCine, U-Systems, Inc., and Siemens Healthcare, have developed automated breast ultrasound system (ABUS), which utilizes high-frequency sound waves to provide the physicians with 3D volumetric image. Such 3D images are more beneficial for women with dense breast tissues, as they enable radiologists to examine the breast cancers from various angles and deliver a better interpretation. Moreover, the operator dependency is drastically reduced, as transducer employed in ABUS scans the breast automatically.
A recently compiled report of Fact.MR envisages the global market for automated breast ultrasound system to record a value CAGR of 9.3% over the period of forecast, 2018 to 2027. Over 1,800 units of automated breast ultrasound systems are foreseen to be sold worldwide by 2027-end.
Standardized Training Imperative for Radiologists
Increased sensitivity of the FDA-approved ABUS, nearly 97%, when utilized in conjunction with mammography illustrates this technology’s lucrativeness as a screening tool for women with dense breast tissues. However, certain areas of ABUS are required to be addressed prior to its future developments by companies and market penetration, as the technology is relatively new. One such are directly relates to radiologists. Although ABUS curtails the requirement for a skilled operator, radiologists would now need formal training. As the familiarity of radiologists with ABUS is not as similar as that with other imaging technologies, and as scans offered are volumetric 3D images, correct interpretation of these images will further entail the requirement for standardized training for radiologists.
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Several studies have been carried out for evaluating influence of 3D automated breast ultrasound system (3D ABUS), when integrated with full-field digital screening mammography (FFDSM). These studies have shown significant improvements in invasive breast cancer diagnosis rate coupled with acceptable recall increase, when 3d ABUS was added to FFDSM in women having ACR3/ACR4 breast density. 3D ABUS has been deemed to be promising adjunct method to the FFDSM programs of high-volume screening centers.
Fact.MR’s report has identified key players underpinning expansion of the global automated breast ultrasound system market, which include GE Healthcare, Delphinus Medical Technologies, Inc., Siemens AG, SonoCine Inc., and Hitachi, Ltd. Product innovation will continue to be a key strategy among the market players to gain a competitive edge. A breakthrough innovation, called “Automated Breast Volume Scanner (ABVS)” has been recently introduced by Siemens Healthcare, which provides volume images of breasts, and helps in exhaustive screening using ultrasound.
Table of Content:
- Global Economic Outlook
- Global Automated Breast Ultrasound System Market - Executive Summary
2.1. Opportunity Analysis
- Global Automated Breast Ultrasound System Market Overview
3.1.1. Global Automated Breast Ultrasound System Market Taxonomy
3.1.2. Global Automated Breast Ultrasound System Market Definition
3.2. Global Automated Breast Ultrasound System Market Size (US$ Mn) and Volume (Units) Forecast, 2012-2026
3.2.1. Global Automated Breast Ultrasound System Market Y-o-Y Growth
3.3. Global Automated Breast Ultrasound System Market Dynamics
3.4. Supply Chain
3.5. Cost Structure
3.6. Pricing Analysis
3.7. Forecast Scenario
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