Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?

Kataoka, Masako; Honda, Maya; Ohashi, Akane; Yamaguchi, Ken; Mori, Nobuhiro; Goto, Mariko; Fujioka, Tomoyuki; Mori, M.; Kato, Yutaka; Satake, Hiroko; Iima, Mami; Kubota, Kazunori

doi:10.2463/mrms.rev.2021-0157

Cited by 18 publications

(25 citation statements)

References 46 publications

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“…The UF-DCE-MRI focuses on the very early phase after administration of a contrast agent, using a temporal resolution of several seconds that is enabled by fast acquisition techniques, including view-sharing and compressed sensing (CS). 5 View-sharing shares phase-encoded views from one image to the next in the reconstruction of a time series. Central k-space associated with contrast is frequently sampled for faster updates.…”

Section: Ultrafast Dce-mrimentioning

confidence: 99%

“…2 Recently, ultrafast (UF) DCE-MRI has become clinically feasible, leading to the proposal of new kinetic parameters that may serve as biomarkers for tumor diagnosis and biology. [3][4][5][6][7][8][9][10][11] Another key sequence for breast MRI is diffusion-weighted imaging (DWI). Diffusion-weighted imaging enables identification of cancer as an area of hindered or restricted water diffusion.…”

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confidence: 99%

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Multiparametric Approach to Breast Cancer With Emphasis on Magnetic Resonance Imaging in the Era of Personalized Breast Cancer Treatment

Kataoka,

Iima,

Miyake

et al. 2023

Invest Radiol

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A multiparametric approach to breast cancer imaging offers the advantage of integrating the diverse contributions of various parameters. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is the most important MRI sequence for breast imaging. The vascularity and permeability of lesions can be estimated through the use of semiquantitative and quantitative parameters. The increased use of ultrafast DCE-MRI has facilitated the introduction of novel kinetic parameters. In addition to DCE-MRI, diffusion-weighted imaging provides information associated with tumor cell density, with advanced diffusion-weighted imaging techniques such as intravoxel incoherent motion, diffusion kurtosis imaging, and time-dependent diffusion MRI opening up new horizons in microscale tissue evaluation. Furthermore, T2-weighted imaging plays a key role in measuring the degree of tumor aggressiveness, which may be related to the tumor microenvironment. Magnetic resonance imaging is, however, not the only imaging modality providing semiquantitative and quantitative parameters from breast tumors. Breast positron emission tomography demonstrates superior spatial resolution to whole-body positron emission tomography and allows comparable delineation of breast cancer to MRI, as well as providing metabolic information, which often precedes vascular and morphological changes occurring in response to treatment. The integration of these imaging-derived factors is accomplished through multiparametric imaging. In this article, we explore the relationship among the key imaging parameters, breast cancer diagnosis, and histological characteristics, providing a technical and theoretical background for these parameters. Furthermore, we review the recent studies on the application of multiparametric imaging to breast cancer and the significance of the key imaging parameters.

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Section: Ultrafast Dce-mrimentioning

confidence: 99%

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confidence: 99%

Multiparametric Approach to Breast Cancer With Emphasis on Magnetic Resonance Imaging in the Era of Personalized Breast Cancer Treatment

Kataoka,

Iima,

Miyake

et al. 2023

Invest Radiol

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“…It can capture the inflow of breast lesions, which is useful for distinguishing cancer tissue with fast initial enhancement from benign or normal breast tissue with slow enhancement. UF-DCE MRI provided improved conspicuity of cancer in the very early phase, before the enhancement of benign or normal parenchyma was observed [10][11][12][13][14][15]. In the post NAC status, the residual tumor is enhanced weaker than before, which overlaps the slow enhancement of post-treatment inflammation or scarring and causes overestimation of residual tumor.…”

Section: Introductionmentioning

confidence: 99%

Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype

et al. 2022

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The purpose of this study was to investigate the diagnostic performance of ultrafast DCE (UF-DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer. In this study, MR examinations of 55 post-NST breast cancers were retrospectively analyzed. Residual tumor sizes were measured in the 20th phase of UF-DCE MRI, early and delayed phases of conventional DCE MRI, and high spatial-resolution CE MRI (UF, early, delayed, and HR, respectively). The diagnostic performance for the detection of residual invasive cancer was calculated by ROC analysis. The size difference between MRI and pathological findings was analyzed using the Wilcoxon signed-rank test with the Bonferroni correction. The overall AUC was highest for UF (0.86 and 0.88 for readers 1 and 2, respectively). The difference in imaging and pathological sizes for UF (5.7 ± 8.2 mm) was significantly smaller than those for early, delayed, and HR (p < 0.01). For luminal subtype breast cancer, the size difference was significantly smaller for UF and early than for delayed (p < 0.01). UF-DCE MRI demonstrated higher AUC and specificity for the more accurate detection of residual cancer and the visualization of tumor extent than conventional DCE MRI.

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“…The CS technique allows high spatial resolution by reconstructing images from randomly and highly undersampled k-space data acquired with a high temporal resolution [ 8 ]. With the development of the CS technique, high temporal resolution in the order of several seconds per frame, combined with a high spatial resolution of one-millimeter in-plane, can be achieved simultaneously [ 9 ]. The high temporal resolution allows us to obtain detailed information on the upslope portion of the kinetic curve.…”

Section: Introductionmentioning

confidence: 99%

“…Several important kinetic parameters can be acquired from UF DCE-MRI including maximum slope (MS), defined as the upslope of the time–intensity curve; time to enhance (TTE), defined as the time when a breast lesion starts to enhance versus the time when the aorta starts to enhance; and bolus arrival time (BAT), defined as the time from the start of contrast injection to the arrival of the tracer bolus. These new parameters obtainable from UF DCE-MRI represent the uptake behavior of the contrast agent demonstrated by the time–intensity curve [ 9 ]. High MS, short TTE, and short BAT tend to indicate malignant lesions.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions

et al. 2023

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Ultrafast (UF) dynamic contrast-enhanced (DCE)-MRI offers the potential for a faster and, therefore, less expensive examination of breast lesions; however, there are no reports that have evaluated whether UF DCE-MRI can be used the same as conventional DCE-MRI in the reading of morphological information. This study evaluated the agreement in morphological information obtained from malignant breast mass lesions between UF DCE-MRI and conventional DCE-MRI. UF DCE-MRI data were obtained over the first 60 s post-contrast injection, followed by the conventional DCE images. Two readers evaluated the size and morphology of the lesions in the final phase of the UF DCE-MRI and the early phase of the conventional DCE-MRI. Inter-method agreement in morphological information was evaluated for the two readers using the intraclass correlation coefficient for size, and the kappa statistics for the morphological descriptors. Differences in the proportion of each descriptor were examined using Fisher’s test of independence. Most inter-method agreements were higher than substantial. UF DCE-MRI showed a circumscribed margin and homogeneous enhancement more often than conventional imaging. However, the percentages of readings showing the same morphology assessment between the UF DCE-MRI and conventional DCE-MRI were 71.2% (136/191) for Reader 1 and 69.1% (132/191) for Reader 2. We conclude that UF DCE-MRI may replace conventional DCE-MRI to evaluate the morphological information of malignant breast mass lesions.

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Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?

Cited by 18 publications

References 46 publications

Multiparametric Approach to Breast Cancer With Emphasis on Magnetic Resonance Imaging in the Era of Personalized Breast Cancer Treatment

Multiparametric Approach to Breast Cancer With Emphasis on Magnetic Resonance Imaging in the Era of Personalized Breast Cancer Treatment

Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype

Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions

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