Dear Advanced Visualization Insider,
Recent clinical studies have indicated that computer-aided detection (CAD) software can have a positive impact on accuracy in mammography screening programs. But does anyone really understand how readers utilize CAD when examining mammograms?
A group led by Dr. Fiona Gilbert of Aberdeen University in Scotland asked this question at this month's European Congress of Radiology (ECR) in Vienna. Gilbert, you may recall, was the lead researcher behind last fall's Computer-Aided Detection Evaluation Trial II (CADET II) study, which found that single readers using CAD performed just as well as double readers without it.
In her ECR presentation, Gilbert discussed how CADET II researchers wanted to compare recall rates between single readers using CAD and double readers. In addition to whether rates differed, they wanted to determine which features on cancerous lesions might impact recall rates.
Learn about their findings in our Insider Exclusive, which you can reach by clicking here ... remember that as an AV Insider you're getting this article several days before the rest of the AuntMinnie membership.
In other stories we're featuring this month in your Advanced Visualization Digital Community, another study presented at ECR found that integrating CAD technology into PACS workstations led to a dramatic increase in CAD utilization and user satisfaction. You can find that article here.
Also, CAD was recently found to yield high sensitivity in detecting breast cancer on full-field digital mammography (FFDM) exams, with a notably strong performance in the challenging cases of invasive lobular carcinoma and small neoplasms. For that article, click here.
Finally, do you have an interesting image or clip that might be suitable for our Advanced Visualization community gallery? I invite to you to submit them here.
