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Tomography
Volume 6
Issue 2
10.18383/j.tom.2019.00028
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Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
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Article

Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study

by
Kurt Li
1,*,
Archana Machireddy
2,
Alina Tudorica
3,
Brendan Moloney
4,
Karen Y. Oh
3,
Neda Jafarian
3,
Savannah C. Partridge
5,
Xin Li
4 and
Wei Huang
4,6,*
1
International School of Beaverton, Aloha, OR, USA
2
Center for Spoken Language Understanding, Oregon Health & Science University, Portland, OR, USA
3
Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR, USA
4
Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
5
Department of Radiology, University of Washington, Seattle, WA, USA
6
Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
*
Authors to whom correspondence should be addressed.
Tomography 2020, 6(2), 148-159; https://doi.org/10.18383/j.tom.2019.00028
Submission received: 11 March 2020 / Revised: 12 April 2020 / Accepted: 8 May 2020 / Published: 1 June 2020
Versions Notes

Abstract

We aimed to compare diagnostic performance in discriminating malignant and benign breast lesions between two intravoxel incoherent motion (IVIM) analysis methods for diffusion-weighted magnetic resonance imaging (DW-MRI) data and between DW- and dynamic contrast-enhanced (DCE)-MRI, and to determine if combining DW- and DCE-MRI further improves diagnostic accuracy. DW-MRI with 12 b-values and DCE-MRI were performed on 26 patients with 28 suspicious breast lesions before biopsies. The traditional biexponential fitting and a 3-b-value method were used for independent IVIM analysis of the DW-MRI data. Simulations were performed to evaluate errors in IVIM parameter estimations by the two methods across a range of signal-to-noise ratio (SNR). Pharmacokinetic modeling of DCE-MRI data was performed. Conventional radiological MRI reading yielded 86% sensitivity and 21% specificity in breast cancer diagnosis. At the same sensitivity, specificity of individual DCE- and DW-MRI markers improved to 36%–57% and that of combined DCE- or combined DW-MRI markers to 57%–71%, with DCE-MRI markers showing better diagnostic performance. The combination of DCE- and DW-MRI markers further improved specificity to 86%–93% and the improvements in diagnostic accuracy were statistically significant (P < .05) when compared with standard clinical MRI reading and most individual markers. At low breast DW-MRI SNR values (<50), like those typically seen in clinical studies, the 3-b-value approach for IVIM analysis generates markers with smaller errors and with comparable or better diagnostic performances compared with biexponential fitting. This suggests that the 3-b-value method could be an optimal IVIM-MRI method to be combined with DCE-MRI for improved diagnostic accuracy.
Keywords: breast cancer; DW-MRI; IVIM-MRI; DCE-MRI; multiparametric breast cancer; DW-MRI; IVIM-MRI; DCE-MRI; multiparametric

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MDPI and ACS Style

Li, K.; Machireddy, A.; Tudorica, A.; Moloney, B.; Oh, K.Y.; Jafarian, N.; Partridge, S.C.; Li, X.; Huang, W. Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study. Tomography 2020, 6, 148-159. https://doi.org/10.18383/j.tom.2019.00028

AMA Style

Li K, Machireddy A, Tudorica A, Moloney B, Oh KY, Jafarian N, Partridge SC, Li X, Huang W. Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study. Tomography. 2020; 6(2):148-159. https://doi.org/10.18383/j.tom.2019.00028

Chicago/Turabian Style

Li, Kurt, Archana Machireddy, Alina Tudorica, Brendan Moloney, Karen Y. Oh, Neda Jafarian, Savannah C. Partridge, Xin Li, and Wei Huang. 2020. "Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study" Tomography 6, no. 2: 148-159. https://doi.org/10.18383/j.tom.2019.00028

APA Style

Li, K., Machireddy, A., Tudorica, A., Moloney, B., Oh, K. Y., Jafarian, N., Partridge, S. C., Li, X., & Huang, W. (2020). Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study. Tomography, 6(2), 148-159. https://doi.org/10.18383/j.tom.2019.00028

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