Siemens Sets a New Standard for Breast Ultrasound

SiemensSiemens Healthcare recently introduced the Acuson S2000 Automated Breast Volume Scanner (ABVS), the first multi-use ultrasound breast system that automatically acquires volume images of the breast. Thanks to the user-independent, standardized image acquisition, the system is ideally suited for early detection and diagnosis of breast cancer with ultrasound - especially for women with dense breast tissue.

According to the New England Journal of Medicine(1), dense breast tissue increases the risk of breast cancer for a woman up to five-fold. While mammogr phy remains the method of choice in breast cancer screening, a study published by the RSNA (Radiological Society of North America) in 2002(2) showed that the detection rate for non-palpable, invasive breast cancer increased by 42 percent when mammography was followed by an ultrasound examination.

"I am convinced that automatic ultrasound volume imaging with the Acuson S2000 ABVS can make a significant contribution in diagnostic confidence for women with dense breast tissue or inconclusive mammography findings," said Klaus Hambüchen, CEO, Ultrasound at Siemens Healthcare. Examinations performed with the Acuson S2000 ABVS technique generally take less than 15 minutes. "Time well spent if you consider the extended diagnostic capabilities of ultrasound in dense breasts."

Coronal anatomical view
The system quickly and comfortably acquires and surveys full-field sonographic volume images that provide a more comprehensive overview of the breast. Included is the intuitive, anatomical coronal plane of the breast (from the nipple to the breast wall), which is not available with conventional ultrasound imaging. This view provides a more understandable representation of the global anatomy and architecture of the breast.

The system's automatic image acquisition significantly improves the workflow of a breast ultrasound examination. While hand held examinations usually take up to 30 minutes, with the Acuson S2000 ABVS, the exam can be performed in less than 15 minutes. Semi-automated reporting and comprehensive BI-RADS® ultrasound reporting capabilities further enhance the clinical workflow. This Breast Imaging Reporting and Data System (BI-RADS) is a classification of the American College of Radiology (ACR) for reporting mammography screenings.

To further optimize high-volume patient care, the system also supports innovative breast imaging applications, such as Fatty Tissue and eSie Touch elasticity imaging. All of these applications help increase diagnostic confidence, while at the same time reducing examination and waiting time for the patient. The new system is an all-round system for ultrasound breast care, from early detection, to diagnosis to aftercare.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the largest suppliers of healthcare technology in the world. The company is a medical solution provider with core competences and innovative strengths in diagnostic and therapeutic technologies as well as knowledge processing, including information technology and system integration. With its acquisitions in laboratory diagnostics, Siemens Healthcare is the first integrated healthcare company that combines imaging and lab diagnostics, therapy solutions and medical information technology and also supplements these with consultation and services. Siemens Healthcare offers solutions for the entire supply chain under one roof - from prevention and early detection to diagnosis and on to treatment and aftercare. In addition, Siemens Healthcare is the global market leader for innovative hearing instruments. The company employs some 49,000 employees worldwide and is present in more than 130 countries. During fiscal 2008 (ending on September 30), Siemens Healthcare achieved sales of 11.17 billion euros and incoming orders totaling 11.78 billion euros. The Sector profit from operations amounted to 1.23 billion euros. For more information, go to: http://www.siemens.com/healthcare.

1. N Engl J Med 356;3. Boyd N.F. et Al., Mammographic Density and the Risk and Detection of Breast Cancer
2. Radiology 2002;225:165-175. Kolb T.M. et Al., Comparison of the Performance of Screening Mammography, Physical Examination, and Breast US and Evaluation of Factors that Influence Them: An Analysis of 27,825 Patient Evaluations

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...