Factors affecting the rate of false positive marks in CAD in full-field digital mammography.

Objective: To assess the effect of breast density, fibroglandular tissue volume, and breast volume on the rate of false-positive marks of a computer-assisted detection software in digital mammography.

Materials And Methods: 222 patients with normal digital mammograms and a minimum follow-up of 22 months were retrospectively identified. MLO and CC views were analyzed using a CAD software with three operating points ('specific', 'balanced', 'sensitive').