Confirma

Kate Madden Yee

Nov 8, 2006

Kirkland, WA-based computer-aided detection (CAD) developer Confirma plans to focus on two products at this year's RSNA show: CADalog, a study recall program that allows radiologists to view a patient's previous studies next to current ones; and CADstream, its breast MR image processing CAD technology.

CADstream automates analysis, reporting, and interventional planning of studies and incorporates the American College of Radiology's BI-RADS Atlas. It also features morphology categorization through its volume analysis tool, multiplanar reformatting (MPR), angiogenesis maps, maximum intensity projections (MIPs), and a CAD analysis tool, SureLoc, for MR-guided interventional procedures. SureLoc is now compatible with all interventional guidance methods and equipment, according to the company.

In May, Confirma boosted CADstream's visibility with two partnerships, one with Berlex Imaging of Wayne, NJ, and another with Medipattern of Toronto. Berlex will offer CADstream via a customer accrual program; Medipattern will package its B-CAD MRI advanced morphology analysis tool with CADstream.

By Kate Madden Yee
AuntMinnie.com contributing writer
November 9, 2006

Copyright © 2006 AuntMinnie.com

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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.

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MRI false positive for additional disease, (top to bottom): A. Index lesion—grade 2 invasive ductal carcinoma; B. MRI lesion two, upper inner quadrant: Stromal sclerosis and columnar cell change; C. MRI lesion three, upper outer quadrant: No ultrasound correlate, no malignancy on follow-up; D. CEM marked background parenchymal enhancement with a unifocal retroareolar lesion demonstrating wash-out on delayed MLO. Images are republished under a Creative Commons license (CC BY 4.0).

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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.

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