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New imaging techniques are being developed to overcome these limitations, enhance cancer detection, and improve patient outcome.
Digital mammography, computer-aided detection (CAD), breast ultrasound, and breast magnetic resonance imaging (MRI) are frequently used adjuncts to mammography in today's clinical practice.
The assessment noted that few of them evaluated commercially available CAD systems.
Computer-aided detection has been used to aid radiologists’ interpretation of contrast-enhanced MRI of the breast, which is sometimes used as an alternative to mammography or other screening and diagnostic tests because of its high sensitivity in detecting breast lesions, even among those in whom mammography is less accurate (e.g., younger women and those with denser breasts).
However, MRI has a high FP rate because of the difficulty in differentiating between benign and malignant lesions.
These researchers estimated summary receiver operating characteristic curves, positive predictive value (PPV), true-positive (TP) to false-positive (FP) ratio, and examined their variability according to quality criteria.
Pooled estimates of the proportion of women whose surgery was altered were calculated.
Positive predictive value was 66 % (95 % confidence interval [CI]: 52 % to 77 %) and TP: FP ratio was 1.91 (95 % CI: 1.09 to 3.34).