Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Fig. 3 | Breast Cancer Research

Fig. 3

From: Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of BRCA1/2 mutation carriers

Fig. 3

The areas under the receiver operating characteristic curves (AUCs) of the predictive performance using relative changes in the different background parenchymal enhancement (BPE) measures across the entire range of R %cutoff values were employed to predict women who developed breast cancer post-RRSO, where BPE % estimated from subtraction image 1 (i.e., post-contrast minus pre-contrast [SUB 1]) shows the highest predictive value (AUC 0.78, P = 0.09) for an R %cutoff of 30 %

Back to article page