ContextVision, the software imaging partner for the most recognized medical imaging manufacturers worldwide, introduced two innovative solutions at the 2011 European Congress of Radiology (ECR). A mammography solution addresses current limitations of x-ray image diagnosis for the detection of breast cancer, while the interventional radiology solution helps achieve superior, real-time images with the ability for dose reduction during interventional fluoroscopy procedures.

Routine mammographic screening is an accepted standard for the early detection of breast cancer.1 However, as many as 1 in 5 cancers are overlooked by the radiologist because the signs on the mammogram may be extremely subtle.2 With the help of CAD systems, the mammographic image is used to evaluate a patient with abnormal clinical findings and alert the radiologist to the need for further analysis.3 A study published in the American Journal of Roentgenology found that the use of CAD systems significantly improved the detection of breast cancer by increasing radiologist sensitivity by 21.2%. In conclusion, for every 100,000 women with breast cancer identified without the use of computer-aided detection, an estimated additional 21,200 cancers would be found with the use of computer-aided detection.4

About MAMMO PlusViewCAD

The MAMMO PlusViewCAD is the only product available on the market to provide OEM manufacturers with a configurable and cost-effective mammography viewing workstation with computer-aided detection (CAD) functionality. MAMMO PlusViewCAD, which can be set up as a stand-alone system or integrated with a PACS system, analyses images and generates CAD marks to highlight suspicious areas, such as microcalcification clusters and masses. The C-CAD™ by ContextVision is easily integrated into various PACS systems from other vendors, providing diversified solutions for physicians.

"We are thrilled to launch our newest product innovations, the MAMMO PlusViewCAD and the GOPView iRVUltra, to a prestigious audience of radiology professionals and medical imaging equipment manufacturers," said Anita Tollstadius, CEO of ContextVision. "Mammography images can be difficult to read at times, and radiologists struggle not to overlook breast cancers. The integrated CAD technology in the MAMMO PlusViewCAD provides radiologists with a second set of eyes before they make their decision, alerting them to areas that may require more attention and therefore ensuring any abnormalities in breast tissue are evaluated appropriately."

About GOPView iRVUltra

With the GOPView iRVUltra, ContextVision is once again innovating the diagnostic imaging space by integrating a new real-time image enhancement filter. The company's proprietary and complex algorithm is now able to accurately define the movements between the images, frame by frame, pixel by pixel, to quickly find structures and orientation for interventional procedures in real time and without time gaps. The result: enhanced low-dose images that offer superior clarity and higher contrast, regardless of the detector solution used.

"Interventional radiologists always look to strike an ideal balance between the required image quality and the radiation dose for any given procedure," said Anita Tollstadius, CEO of ContextVision. "As a result, they rely heavily on the newest advancements in image quality enhancement and dose reduction technologies. Generally, it takes an increased dose to enhance the image quality. With the GOPView iRVUltra, radiologists no longer have to compromise, as superior image quality can be achieved despite low dose images."

Both the MAMMO PlusViewCAD and the GOPView iRVUltra will be showcased at ContextVision's booth in hall Expo E, booth 517 at the European Congress of Radiology (ECR), March 3-7, 2011 in Vienna, Austria.

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4. Improvement in Sensitivity of Screening Mammography with Computer-Aided Detection: A Multiinstitutional Trial; Rachel F. Brem1, Janet Baum2, Mary Lechner3, Stuart Kaplan4, Stuart Souders5, L. Gill Naul6 and Jeff Hoffmeister7; American Journal of Roentgenology, 2003.

Source:
ContextVision