PACS vendor Brit Systems introduced a new module for viewing full-field digital mammography (FFDM) studies as a work-in-progress at last week's Society for Computer Applications in Radiology (SCAR) meeting in Austin, TX.
The viewer can be added to the Dallas company's PACS viewer, Radiology Workbench for Linux, and can accept images from any FFDM system cleared by the U.S. Food and Drug Administration. It also works with digitized film from an analog mammography unit.
The module provides mammography reading tools such as support for overlays from computer-aided detection (CAD) systems, overreading tools with statistics, special hot keys and icons, and automated hanging protocols. It also supports color images and review and analysis of multimodality images. Commercial availability of the module is expected in September 2006.
In other SCAR new product introductions, Brit introduced a new tool for its PACS software designed to reduce diagnostic errors that occur when emergency room physicians read imaging studies during overnight shifts. The company's new "discordance tool" lets ER doctors communicate their findings to radiologists; if radiologists have a different interpretation, they can communicate it to ER physicians, enabling them to improve their diagnostic accuracy in the future. The discordance tool will be available in July 2006.
Finally, Brit showed enhancements to the dashboard management system that it first demonstrated at the 2005 RSNA meeting. The dashboard enables PACS administrators to view statistics such as database capacity and CPU load, while the new enhancements include better visualization tools and easy-to-use management tools. The new enhancements will also be available in July 2006.
By AuntMinnie.com staff writers
May 2, 2006
Related Reading
Brit to debut Roentgen Burner, February 3, 2006
Road to RSNA, Brit Systems, November 17, 2005
Road to RSNA, Brit Systems, November 11, 2005
Road to RSNA, Brit Systems, November 16, 2004
Brit wins VA PACS contract, November 15, 2004
Copyright © 2006 AuntMinnie.com
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
