CT Lung CAD System Enhancements

(Sunnydale, CA, USA), a developer of CAD technology for the earlier detection of cancer and other medical conditions, has now developed Version 2.1 of its ImageChecker CT Lung CAD system. This latest software increases clinicians' accuracy and workflow efficiency in the detection of disease, including detection of pulmonary artery filling defects, such as pulmonary emboli, during review of multi-slice CT (MSCT) exams.

With V2.1, results from R2's AutoPoint Temporal Comparison tool used with lung nodule detection can now be sent to a PACS workstation for full enterprise accessibility, enabling radiologists to compare current and prior CAD results even more efficiently, without the need for R2's dedicated CT CAD workstation. AutoPoint automatically correlates and tracks lung nodule changes--size measurements, density, and estimated growth-doubling time, to minimize intra-reader measurement variability and to expedite case review.

"The ability to present all this information within PACS greatly facilitates the workflow of the radiologist, and improves communication with clinicians as the CAD results are available any place PACS is present. By contributing to a more accurate interpretation and the improved communication of results, these features enhance the quality of care we deliver to our patients,” said David S. Mendelson, M.D., associate professor of radiology at the Mount Sinai School of Medicine (New York, NY, USA).

The ImageChecker CT Lung CAD System serves as "a second set of eyes” to clinicians and increases their accuracy and efficiency when reviewing the enormous number of images produced by MSCT studies. A clinical study reported that this CAD system detected significant lung nodules in 33% of 100 MSCT cases that had previously been reported as having no nodules.

Clinical data presented at the 2004 European Congress of Radiology showed that this tool detected 88% of segmental pulmonary emboli and 78% of subsegmental pulmonary emboli, with a median of four false CAD marks per normal case.


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