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DOI: 10.1055/s-0045-1809444
Ultrafast MRI in BI-RADS 4 Masses: The Fast Lane to Clarity
Authors
Abstract
Objective
This study aims to evaluate the diagnostic accuracy of ultrafast magnetic resonance imaging (UF-MRI)-derived kinetic parameters in differentiating benign from malignant BI-RADS (Breast Imaging-Reporting and Data System) 4 breast masses. It also compares the performance of UF-MRI with standard dynamic contrast-enhanced MRI (DCE-MRI) to determine its impact on clinical decision-making and overall diagnostic accuracy.
Materials and Methods
This cross-sectional observational study included patients with BI-RADS 4 breast masses who underwent UF-MRI from January to December 2024. UF-MRI was acquired continuously over a brief period, capturing kinetic parameters including time to enhancement (TTE), arterial-venous interval (AVI), and maximum slope (MS), in addition to standard DCE-MRI. Two radiologists with more than 10 years of experience in breast radiology independently evaluated the results from standard DCE-MRI and UF-MRI. Statistical analysis assessed the correlation between UF-MRI parameters, standard DCE-MRI, and final histopathology.
Results
A total of 31 breast masses from 29 patients (mean age: 45.3 ± 10.9 years) were evaluated, with 16 malignant and 15 benign masses confirmed on histopathology. UF-MRI parameters TTE and AVI demonstrated a strong correlation with malignancy (Cramer's V: 0.81 and 0.87, p < 0.001) while MS (Cramer's V: 0.50) showed moderate association. AVI had the highest specificity (86.7%), followed by TTE (80%) and MS (66.7%) when compared with standard DCE-MRI kinetic curves that showed significantly lower specificity (40%). The combined accuracy of TTE + AVI + MS was 93.5%, with an area under curve of 0.969. UF-MRI showed a high sensitivity and specificity of 100 and 87%, respectively.
Conclusion
UF-MRI offers a fast and accurate approach for distinguishing benign from malignant BI-RADS 4 lesions, with TTE and AVI emerging as highly reliable diagnostic markers. It addresses the limitations of standard DCE-MRI by providing early contrast wash-in dynamic data with shorter acquisition times and higher specificity. Integrating UF-MRI kinetic parameters with morphological characteristics such as shape and margins can significantly enhance diagnostic precision, especially in patients with dense breasts and multiple masses, thereby minimizing the need for unnecessary biopsies.
Keywords
ultrafast - breast MRI - dynamic contrast-enhanced MRI - wash-in curve - BI-RADS 4 - kineticPublication History
Article published online:
11 June 2025
© 2025. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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References
- 1 Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin 2020; 70 (01) 7-30
- 2 Tabár L, Vitak B, Chen TH. et al. Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades. Radiology 2011; 260 (03) 658-663
- 3 Sung JS, Stamler S, Brooks J. et al. Breast cancers detected at screening MR imaging and mammography in patients at high risk: method of detection reflects tumor histopathologic results. Radiology 2016; 280 (03) 716-722
- 4 Kuhl CK, Strobel K, Bieling H, Leutner C, Schild HH, Schrading S. Supplemental breast MR imaging screening of women with average risk of breast cancer. Radiology 2017; 283 (02) 361-370
- 5 Riedl CC, Luft N, Bernhart C. et al. Triple-modality screening trial for familial breast cancer underlines the importance of magnetic resonance imaging and questions the role of mammography and ultrasound regardless of patient mutation status, age, and breast density. J Clin Oncol 2015; 33 (10) 1128-1135
- 6 Kuhl C, Weigel S, Schrading S. et al. Prospective multicenter cohort study to refine management recommendations for women at elevated familial risk of breast cancer: the EVA trial. J Clin Oncol 2010; 28 (09) 1450-1457
- 7 Vreemann S, Gubern-Mérida A, Schlooz-Vries MS. et al. Influence of risk category and screening round on the performance of an MR imaging and mammography screening program in carriers of the BRCA mutation and other women at increased risk. Radiology 2018; 286 (02) 443-451
- 8 Luiten JD, Voogd AC, Luiten EJT, Duijm LEM. Trends in incidence and tumour grade in screen-detected ductal carcinoma in situ and invasive breast cancer. Breast Cancer Res Treat 2017; 166 (01) 307-314
- 9 Sardanelli F, Podo F. Breast MR imaging in women at high-risk of breast cancer. Is something changing in early breast cancer detection?. Eur Radiol 2007; 17 (04) 873-887
- 10 Podo F, Santoro F, Di Leo G. et al. Triple-negative versus non-triple-negative breast cancers in high-risk women: phenotype features and survival from the HIB CRIT-1 MRI-including screening study. Clin Cancer Res 2016; 22 (04) 895-904
- 11 Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers RD, Bieling HB. Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection-a novel approach to breast cancer screening with MRI. J Clin Oncol 2014; 32 (22) 2304-2310
- 12 Saranathan M, Rettmann DW, Hargreaves BA, Clarke SE, Vasanawala SS. DIfferential Subsampling with Cartesian Ordering (DISCO): a high spatio-temporal resolution Dixon imaging sequence for multiphasic contrast enhanced abdominal imaging. J Magn Reson Imaging 2012; 35 (06) 1484-1492
- 13 Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58 (06) 1182-1195
- 14 Sagawa H, Kataoka M, Kanao S. et al. Impact of the number of iterations in compressed sensing reconstruction on ultrafast dynamic contrast-enhanced breast MR imaging. Magn Reson Med Sci 2019; 18 (03) 200-207
- 15 Jaspan ON, Fleysher R, Lipton ML. Compressed sensing MRI: a review of the clinical literature. Br J Radiol 2015; 88 (1056) 20150487
- 16 Mann RM, Mus RD, van Zelst J, Geppert C, Karssemeijer N, Platel B. A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging. Invest Radiol 2014; 49 (09) 579-585
- 17 Mus RD, Borelli C, Bult P. et al. Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions. Eur J Radiol 2017; 89: 90-96
- 18 Onishi N, Kataoka M, Kanao S. et al. Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veins. J Magn Reson Imaging 2018; 47 (01) 97-104
- 19 Malvia S, Bagadi SA, Dubey US, Saxena S. Epidemiology of breast cancer in Indian women. Asia Pac J Clin Oncol 2017; 13 (04) 289-295
- 20 Berg WA, Blume JD, Cormack JB. et al; ACRIN 6666 Investigators. Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. JAMA 2008; 299 (18) 2151-2163
- 21 Honda M, Kataoka M, Iima M. et al. Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI. Eur J Radiol 2020; 129: 108984
- 22 Amitai Y, Freitas VAR, Golan O. et al. The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis. Eur Radiol 2024; 34 (10) 6285-6295

