Advanced Imaging


Advanced Imaging Magazine

Updated: January 12th, 2011 10:01 AM CDT

Improving Results in Screening Mammograms

New study reviews more than 231,000 mammograms to show benefits of CAD compared to double-reading without it
The PeerView feature of the Hologic R2 CAD system
© Hologic
The PeerView feature of the Hologic R2 CAD system outlines the central density of a detected mass or distortion so the radiologist can evaluate the margin, shape and interior characteristics. Detected microcalcifications are highlighted so the radiologist can determine the number, shape and distribution.
The R2 system
© Hologic
The R2 system is designed to pinpoint regions of interest, efficiently drawing the radiologist’s eye to important image features. Calcification clusters are marked with the familiar R2 triangle and masses with the R2 asterisk. A special EmphaSize variable size feature displays marks in variable sizes correlating to the prominence of a mass or calcification features.
The R2 DMax™ platform
© Hologic
The R2 DMax™ platform, including ImageChecker™ CAD and DigitalNow™ film digitizing software can scan each film in just 22 seconds.
A Selenia direct digital image with R2 PeerView® CAD
© Hologic
A Selenia direct digital image with R2 PeerView® CAD outlines a density and highlights a cluster of microcalcifications to help visualize and analyze the specific features that may indicate malignancy.
The R2 CAD system
© Hologic
The R2 CAD system pinpoints the region of interest marking the mass with the traditional R2 asterisk and calcifications with the traditional R2 triangle.

By Barry Hochfelder

Screening mammography efficiency is enhanced when sensitivity is high and the recall rate is low. Double reading, though used by few practices in the United States, is more commonly used in European screening programs for increasing sensitivity. CAD has become increasingly popular as an alternative way to increase sensitivity, since double-reading is time-consuming and because of a shortage of radiologists.

CAD has the potential to increase sensitivity of screening mammography by marking areas of interest that might otherwise be overlooked by interpreting radiologists. However, it also may place false marks, identifying areas of suspicion that are not cancer. A small fraction of false marks may result in unnecessary patient recalls for further evaluation. The major goal is to reduce oversights when screening mammograms are read; the radiologist still is responsible for lesion analysis and final interpretation of an examination.

There are three primary CAD marks: the R2 Triangle (calcification clusters), the R2 Asterisk (masses) and R2 Malc (regions with both mass and calcification).

Additional emphasis marks are displayed in various sizes correlating to the prominence of a mass or calcification. When the algorithm determines that a region contains more prominent features, the CAD mark appears larger.

The algorithm examines signal intensity, number of calcifications in a cluster, and shape of calcifications. For masses, it evaluates characteristics such as degree of speculation, lesion shape, contrast to surrounding tissue, texture of lesion interior, and edge texture. As more features are found the algorithm enlarges the size of the mark.

During the period of the study (2001-2005) the nine radiologists interpreted a total 428,909 mammograms—
including second readings and diagnostic examinations.

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