BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement.

Publication Type:

Journal Article


AJR. American journal of roentgenology, Volume 193, Issue 4, p.994-1000 (2009)


2009, Aged, Algorithms, Breast Neoplasms, Center-Authored Paper, Clinical Research Division, Female, Gadolinium DTPA, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Likelihood Functions, Magnetic Resonance Imaging, Middle Aged, Public Health Sciences Division, Reproducibility of Results, Research Trials Office Core Facility - Biostatistics Service, Sensitivity and Specificity, Shared Resources


The purpose of our study was to evaluate the predictive features of BI-RADS lesion characteristics and the risk of malignancy for mammographically and clinically occult lesions detected initially on breast MRI.