Non-mass Enhancement in Breast MRI: Characterization with BI-RADS Descriptors and ADC Values

Objectives: The purpose of this study was to assess the accuracy contrast-enhanced magnetic resonance imaging and diffusion-weighted in distinguishing benign from malignant non-mass-like breast lesions. Methods: 103 lesions showing enhancement 100 consecutive patients were analyzed. Distribution, internal patterns, contrast kinetic curve patterns classified according BI-RADS lexicon. Apparent diffusion coefficient (ADC) values obtained manually placed regions interest (ROIs) on images. optimal ADC value threshold for distinction between determined by ROC analysis. Univariate multivariate analyses performed identify independent predictors malignancy, probability malignancy calculated various combinations findings. Histological diagnosis means core needle biopsy used as gold standard. Results: According univariate analysis, odds ratios significantly elevated clumped or clustered ring low (p < 0.001), whereas distribution not correlated with benignity malignancy. In non-mass homogeneous heterogeneous greater than 1.26×10-3mm2/s, no detected, while all other findings had a ranging 22.2 76.6%. Conclusions: A combination descriptors is useful differential enhancement. Lesions high can be followed up, should biopsied. Doi: 10.28991/SciMedJ-2021-0302-1 Full Text: PDF