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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.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.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.

Conversion from wide local excision (WLE) to mastectomy was 8.1 % (95 % CI: 5.9 to 11.3), from WLE to more extensive surgery was 11.3 % in multi-focal/multi-centric disease (95 % CI: 6.8 to 18.3).The 3 risk models utilize different combinations of risk factors, are derived from different data sets, and vary in the age to which they calculate cumulative breast cancer risk.As a result, they may generate different risk estimates for a given patient.Data from 19 studies showed MRI detects additional disease in 16 % of women with breast cancer (n = 2,610).Magnetic resonance imaging incremental accuracy differed according to the reference standard (RS; p = 0.016) decreasing from 99 % to 86 % as the quality of the RS increased.