Multiparametric MRI model with dynamic contrast‐enhanced and diffusion‐weighted imaging enables breast cancer diagnosis with high accuracy

• Published in: Journal of magnetic resonance imaging Vol. 49; no. 3; pp. 864 - 874
• Main Authors: Zhang, Michelle, Horvat, Joao V., Bernard‐Davila, Blanca, Marino, Maria Adele, Leithner, Doris, Ochoa‐Albiztegui, R. Elena, Helbich, Thomas H., Morris, Elizabeth A., Thakur, Sunitha, Pinker, Katja
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.03.2019; John Wiley and Sons Inc
• Subjects: Accuracy; Angiography; Benign; BI‐RADS; Breast cancer; Cancer; Correlation analysis; Correlation coefficient; Correlation coefficients; Diagnosis; Diagnostic systems; Diffusion; Diffusion coefficient; diffusion‐weighted imaging; dynamic contrast‐enhanced MRI; Field strength; Histopathology; Lesions; Magnetic resonance imaging; Mapping; Medical diagnosis; Medical imaging; NMR; Nuclear magnetic resonance; Original Research; Radiology; Regression analysis; Statistical analysis; Statistical tests; T2‐weighted imaging; Trajectory analysis; Tumors; BI-RADS; breast cancer; T2-weighted imaging; diffusion-weighted imaging; dynamic contrast-enhanced MRI
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.26285

Background The MRI Breast Imaging‐Reporting and Data System (BI‐RADS) lexicon recommends that a breast MRI protocol contain T2‐weighted and dynamic contrast‐enhanced (DCE) MRI sequences. The addition of diffusion‐weighted imaging (DWI) significantly improves diagnostic accuracy. This study aims to c...