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Updated: July 8th, 2008 05:26 PM CDT

Studies Show CAD May Improve Efficiency and Accuracy in Breast MRI Evaluations

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Business Wire
via NewsEdge Corporation

RSNA 2005 Hall B, Booth 8750 CHICAGO--(BUSINESS WIRE)--Nov. 30, 2005--Confirma today announced that abstracts are being presented at the 91st Annual Radiological Society of North America (RSNA) meeting, currently underway in Chicago, Illinois, demonstrating that CADstream(TM), computer-aided-detection (CAD) for breast MRI, may improve efficiency and accuracy in breast MRI evaluation. Both abstracts are being presented at the Arie Crown Theater in the McCormick Place Convention Center. Professionals from 90 countries are expected to convene and discuss the latest in radiologic innovations at the meeting, which is being held November 27 through December 2.

In the abstract entitled: "Analysis of Computer Aided Evaluation for Breast MRI in Discriminating Benign and Malignant Lesions," Wendy B. DeMartini, M.D., Theresa C. Williams, M.D., Constance D. Lehman, M.D., Ph.D., Sue Peacock, MSc and Savannah C. Partridge, Ph.D. of Seattle Cancer Care Alliance compared the accuracy of breast MRI interpretation without and with computer-aided evaluation in discriminating benign from malignant lesions. The computer-aided evaluation's automated assessment improved accuracy compared to MRI interpretation without computer assistance. The researchers believe that if these results are validated in larger studies with varied imaging protocols, the number of unnecessary MRI-guided biopsies may be reduced.

In the abstract entitled: "Effectiveness of CAD in the Evaluation of Breast Cancer and Pathology," J.C. Vilanova, M.D. and J. Barcelo of Clinica Girona evaluated the effectiveness of CAD to detect breast cancer based on MR mammography features and the pathology results. The study demonstrated that breast MRI CAD may be helpful to assess breast cancer and assist radiologists by saving substantial time during the analysis and interpretation of studies. Additionally, the study showed improved accuracy with breast MR evaluation.

About CADstream

CADstream is advancing breast MRI by enhancing efficiency, standardization, access and compatibility of studies. The system automates analysis, reporting and interventional planning of studies and promotes standardization with the incorporation of the ACR BI-RADS(R) Atlas. CADstream is designed for any workflow scenario, integrating with existing equipment providing access to studies anywhere on the network. Automated features include image registration, multiplanar reformatting, subtractions, angiogenesis maps, curves, maximum intensity projections (MIPs), volume summaries, portfolio for reporting, SureLoc(TM) for interventional guidance and multimodality capability. New products include CADalog(TM) for study library access. Additionally options are available with CADstream including z3D, a new visualization tool for the evaluation of study enhancement patterns. Z3D is currently under clinical investigation. Confirma will be showcasing CADstream at RSNA in Hall B, Booth 8750.

About Confirma, Inc.

Confirma, Inc. develops and markets computer-aided-detection (CAD) systems and accessories for medical imaging. CADstream(TM) is the standard in CAD for magnetic resonance imaging (MRI). CADstream automates the processing of MRI studies, providing higher-quality imaging studies, lower costs for radiology practices and improved communication tools for physicians and patients. In its initial application, CADstream is being used to assist in the analysis, interventional guidance and reporting of breast MRI studies. CADstream is DICOM 3.0 compliant, allowing integration with any MRI scanner and PACS. Confirma has established partnerships with companies including GE Healthcare, Hologic, iCAD and Vital Images. Confirma has partnered with hundreds of imaging centers and corporate partners worldwide since 2003, helping develop more standardized, high-performance breast MRI programs that deliver premium patient care. For more information, visit www.confirma.com or call 877-811-2356.

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