Automated Breast Ultrasound (ABUS)

Automated Breast Ultrasound (ABUS) is an advanced imaging technique designed to enhance breast cancer detection, particularly in women with dense breast tissue. Unlike traditional mammography, which can sometimes miss abnormalities in dense tissue, ABUS uses high-frequency sound waves to create detailed 3D images of the entire breast. This non-invasive procedure allows for comprehensive examination, offering a clearer view of breast structures and improving the detection rate of early-stage cancers.

The benefits of ABUS are numerous. First, it significantly increases the sensitivity of cancer detection in dense breasts, identifying tumors that might be obscured in mammograms. The procedure is also quick and comfortable, taking about 15 minutes to perform and requiring no compression of the breast, which can be a source of discomfort in mammograms. Furthermore, ABUS does not involve ionizing radiation, making it a safer option for repeated screenings. With its high-resolution images, ABUS facilitates accurate diagnoses, allowing for earlier and more effective treatment plans.

Dense breast tissue is quite common, affecting approximately 40-50% of women. This high prevalence underscores the importance of advanced imaging techniques like ABUS, which can provide clearer and more accurate results for these patients.

The GE ABUS machine exemplifies state-of-the-art technology in breast imaging. It provides a consistent, automated scanning process, ensuring high-quality and reproducible results across different patients and operators. The GE ABUS machine’s advanced software features include intuitive image analysis tools and 3D reconstruction capabilities, which enhance the clarity and diagnostic value of the scans. Additionally, its ergonomic design and user-friendly interface streamline the imaging process, improving both patient comfort and operator efficiency. By integrating the GE ABUS machine into their services, imaging centers can offer a superior diagnostic tool that enhances cancer detection and supports optimal patient outcomes.

See www.cancer.gov  for more information.