ArticleEuropean radiology2012
High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?
Article in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- A multiparametric [European journal of nuclear medicine and molecular imaging · 2019Trial
- Clinical application of bilateral high temporal and spatial resolution dynamic contrast-enhanced magnetic resonance imaging of the breast at 7 T.European radiology · 2014Trial
- Deep Learning Enables Fast and Accurate Quantification of MRI-Guided Near-Infrared Spectral Tomography for Breast Cancer Diagnosis.IEEE transactions on medical imaging · 2025Article
- Ultrafast Breast MRI: A Narrative Review.Journal of personalized medicine · 2025Review
- Article
- The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI.Tomography (Ann Arbor, Mich.) · 2022Article
- Computer-Aided Diagnosis Parameters of Invasive Carcinoma of No Special Type on 3T MRI: Correlation with Pathologic Immunohistochemical Markers.Taehan Yongsang Uihakhoe chi · 2022Article
- Downgrade BI-RADS 4A Patients Using Nomogram Based on Breast Magnetic Resonance Imaging, Ultrasound, and Mammography.Frontiers in oncology · 2022Article
- Maximum slope using ultrafast breast DCE-MRI at 1.5 Tesla: a potential tool for predicting breast lesion aggressiveness.European radiology · 2021Article
- Comparison of data-driven and general temporal constraints on compressed sensing for breast DCE MRI.Magnetic resonance in medicine · 2021Article
- Can Magnetic Resonance Imaging Replace Mammography and Ultrasonography for the Detection of Breast Lesions?Cureus · 2020Article
- Combination of an ultrafast TWIST-VIBE Dixon sequence protocol and diffusion-weighted imaging into an accurate easily applicable classification tool for masses in breast MRI.European radiology · 2020Article
- Scoring System to Predict Malignancy for MRI-Detected Lesions in Breast Cancer Patients: Diagnostic Performance and Effect on Second-Look Ultrasonography.Taehan Yongsang Uihakhoe chi · 2020Article
- Proton MR spectroscopy in the breast: Technical innovations and clinical applications.Journal of magnetic resonance imaging : JMRI · 2019Review
- Discrimination between breast invasive ductal carcinomas and benign lesions by optimizing quantitative parameters derived from dynamic contrast-enhanced MRI using a semi-automatic method.International journal of clinical oncology · 2019Article
- In-cell determination of Lactate Dehydrogenase Activity in a Luminal Breast Cancer Model ⁻Sensors (Basel, Switzerland) · 2019Article
- Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features.European radiology experimental · 2019Article
- Classification of breast mass lesions on dynamic contrast-enhanced magnetic resonance imaging by a computer-assisted diagnosis system based on quantitative analysis.Oncology letters · 2019Article
- Clinical role of breast MRI now and going forward.Clinical radiology · 2018Review
- The potential of multiparametric MRI of the breast.The British journal of radiology · 2017Review
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
objectiveTo identify which breast lesion descriptors in the ACR BI-RADS® MRI lexicon are most strongly associated with the diagnosis of breast cancer when performing breast MR imaging at 3 T.
methods150 patients underwent breast MR imaging at 3 T. Lesion size, morphology and enhancement kinetics were assessed according to the BI-RADS® classification. Sensitivity, specificity and diagnostic accuracy were assessed. The effects of the BI-RADS® descriptors on sensitivity and specificity were evaluated. Data were analysed using logistic regression. Histopathological diagnoses were used as the standard of reference.
resultsThe sensitivity, specificity and diagnostic accuracy of breast MRI at 3 T was 99%, 81% and 93%, respectively. In univariate analysis, the final diagnosis of malignancy was positively associated with irregular shape (p < 0.001), irregular margin (p < 0.001), heterogeneous enhancement (p < 0.001), Type 3 enhancement kinetics (p = 0.02), increasing patient age (p = 0.02) and larger lesion size (p < 0.001). In multivariate analysis, significant associations with malignancy remained for mass shape (p = 0.06), mass margin (p < 0.001), internal enhancement pattern (p = 0.03) and Type 3 enhancement kinetics (p = 0.06).
conclusionThe ACR BI-RADS® breast lesion descriptors that are mostly strongly associated with breast cancer in breast MR imaging at 3 T are lesion shape, lesion margin, internal enhancement pattern and Type 3 enhancement kinetics. KEY POINTS: • 3 Tesla breast MRI allows an accurate diagnosis of breast cancer • The BI-RADS® descriptors help provide a confident diagnosis • The shape, margin, enhancement pattern and kinetics are the most important features • An irregular shape and margin, heterogeneous enhancement and type-3 kinetics indicate malignancy.
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