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New radiology research finds CAD effective detecting cancers

June 25, 2009 | Industry News Release
Source: Healthcare IT News

NASHUA, NH – iCAD, Inc., an provider of advanced image analysis and workflow solutions for the early identification of cancer, today announces new research presented at the Computer Assisted Radiology and Surgery 23rd International Congress and Exhibition being held in Berlin, Germany from June 23-27 2009.

Original research presented by Rachel F. Brem, MD Professor of Radiology, and Vice Chair of Research and Faculty Development at The George Washington University Medical Center, further supported the use of computer-aided detection as an effective breast cancer detection tool.

The multicenter study evaluated the performance of computer-aided detection (CAD) with computed radiography (CR) for mammography in the detection of breast cancers that had previously been missed. Dr. Brem’s findings showed that of the confirmed cancers, 55 percent were missed by at least one of the six readers. CAD correctly pinpointed 88 percent of all cancers, adding further evidence of the clinical need for CAD with CR.

“Even under ideal circumstances, it can be difficult for radiologists to determine what abnormalities in a mammogram could be cancerous and warrant closer evaluation,” said Dr. Brem. “Our research confirmed that by adding computer-aided detection, readers are better equipped to detect breast cancers that otherwise would not be identified.”

In addition, special sessions on breast CAD including real-time demonstrations, panel discussions and clinical evaluations of iCAD’s technology were shared at CARS.

“iCAD is dedicated to providing radiologists with the tools they need to help them find more cancers at an earlier stage,” said Ken Ferry, President and CEO of iCAD. “Dr. Brem’s study utilizing SecondLook CAD further supports the comprehensive body of evidence that has helped iCAD become a global market leader in CAD solutions for breast, prostate and colon cancers.”
 

Related Topics:
  • BERLIN
  • breast cancer
  • Brem
  • CAD
  • cancer
  • cancer detection
  • cancers
  • George Washington University Medical Center
  • Germany
  • iCAD Inc.
  • image analysis and workflow solutions
  • International Congress
  • the George Washington University

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