Journal
EUROPEAN RADIOLOGY
Volume 29, Issue 3, Pages 1164-1174Publisher
SPRINGER
DOI: 10.1007/s00330-018-5643-4
Keywords
Breast neoplasms; Magnetic resonance imaging; Contrast media; Kinetics; Classification
Funding
- Japan Society for the Promotion of Science (JSPS) KAKENHI [JP16K19840]
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ObjectivesTo assess the diagnostic value and contribution to BI-RADS categorisation of initial enhancement on ultra-fast DCE-MRI for differentiating malignant and benign breast lesions.MethodsThe institutional review board approved this study, and written informed consent was obtained from each participant. Both ultra-fast DCE-MRI for initial enhancement analysis and conventional MRI were performed on 200 subjects with a total of 215 lesions (147 malignant and 68 benign). BI-RADS categorisation of enhancing lesions was performed using the conventional MRI. Two initial enhancement measures, time to enhancement (TTE) and maximum slope (MS), were derived from the ultra-fast DCE-MRI. Diagnostic performance and the additional diagnostic value of adding TTE and MS to BI-RADS were evaluated.ResultsBoth TTE and MS showed significant differences between malignant and benign breast lesions in masses (TTE, p <.001; MS, p = .006) and non-mass enhancement (NME) (TTE, p <.001; MS, p <.001). For masses, the AUC of TTE+MS combined with BI-RADS (0.864) was better than BI-RADS alone (0.823, p = .065). For NME, the AUC of TTE+MS combined with BI-RADS (0.923) was significantly larger than BI-RADS alone (0.865, p = .036), and diagnostic specificity improved by 40.9% (p = .005), without a significant decrease in the sensitivity (p = .083).ConclusionInitial enhancement analysis using ultra-fast DCE-MRI is especially useful for increasing the diagnostic performance of NME in breast MRI.Key Points center dot Ultra-fast dynamic MRI effectively differentiates benign from malignant breast lesions.center dot Ultra-fast dynamic MRI contributes to BI-RADS categorisation in non-mass enhancement.center dot Management of non-mass breast lesions becomes more appropriate.
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