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

Kataoka, Masako ; Honda, Maya ; Ohashi, Akane LU ; Yamaguchi, Ken ; Mori, Naoko ; Goto, Mariko ; Fujioka, Tomoyuki ; Mori, Mio ; Kato, Yutaka and Satake, Hiroko , et al. (2022) In Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine 21(1). p.83-94
Abstract

Ultrafast dynamic contrast-enhanced (UF-DCE) MRI is a new approach to capture kinetic information in the very early post-contrast period with high temporal resolution while keeping reasonable spatial resolution. The detailed timing and shape of the upslope in the time-intensity curve are analyzed. New kinetic parameters obtained from UF-DCE MRI are useful in differentiating malignant from benign lesions and in evaluating prognostic markers of the breast cancers. Clinically, UF-DCE MRI contributes in identifying hypervascular lesions when the background parenchymal enhancement (BPE) is marked on conventional dynamic MRI. This review starts with the technical aspect of accelerated acquisition. Practical aspects of UF-DCE MRI include... (More)

Ultrafast dynamic contrast-enhanced (UF-DCE) MRI is a new approach to capture kinetic information in the very early post-contrast period with high temporal resolution while keeping reasonable spatial resolution. The detailed timing and shape of the upslope in the time-intensity curve are analyzed. New kinetic parameters obtained from UF-DCE MRI are useful in differentiating malignant from benign lesions and in evaluating prognostic markers of the breast cancers. Clinically, UF-DCE MRI contributes in identifying hypervascular lesions when the background parenchymal enhancement (BPE) is marked on conventional dynamic MRI. This review starts with the technical aspect of accelerated acquisition. Practical aspects of UF-DCE MRI include identification of target hypervascular lesions from marked BPE and diagnosis of malignant and benign lesions based on new kinetic parameters derived from UF-DCE MRI: maximum slope (MS), time to enhance (TTE), bolus arrival time (BAT), time interval between arterial and venous visualization (AVI), and empirical mathematical model (EMM). The parameters derived from UF-DCE MRI are compared in terms of their diagnostic performance and association with prognostic markers. Pitfalls of UF-DCE MRI in the clinical situation are also covered. Since UF-DCE MRI is an evolving technique, future prospects of UF-DCE MRI are discussed in detail by citing recent evidence. The topic covers prediction of treatment response, multiparametric approach using DWI-derived parameters, evaluation of tumor-related vessels, and application of artificial intelligence for UF-DCE MRI. Along with comprehensive literature review, illustrative clinical cases are used to understand the value of UF-DCE MRI.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
breast, compressed sensing, dynamic contrast enhanced, magnetic resonance imaging, ultrafast
in
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
volume
21
issue
1
pages
12 pages
publisher
Japan Society of Magnetic Resonance in Medicine
external identifiers
  • scopus:85125679407
  • pmid:35228489
DOI
10.2463/mrms.rev.2021-0157
language
English
LU publication?
yes
id
85253058-2132-420f-9753-d736ef007391
date added to LUP
2022-04-14 11:01:13
date last changed
2024-06-20 01:48:27
@article{85253058-2132-420f-9753-d736ef007391,
  abstract     = {{<p>Ultrafast dynamic contrast-enhanced (UF-DCE) MRI is a new approach to capture kinetic information in the very early post-contrast period with high temporal resolution while keeping reasonable spatial resolution. The detailed timing and shape of the upslope in the time-intensity curve are analyzed. New kinetic parameters obtained from UF-DCE MRI are useful in differentiating malignant from benign lesions and in evaluating prognostic markers of the breast cancers. Clinically, UF-DCE MRI contributes in identifying hypervascular lesions when the background parenchymal enhancement (BPE) is marked on conventional dynamic MRI. This review starts with the technical aspect of accelerated acquisition. Practical aspects of UF-DCE MRI include identification of target hypervascular lesions from marked BPE and diagnosis of malignant and benign lesions based on new kinetic parameters derived from UF-DCE MRI: maximum slope (MS), time to enhance (TTE), bolus arrival time (BAT), time interval between arterial and venous visualization (AVI), and empirical mathematical model (EMM). The parameters derived from UF-DCE MRI are compared in terms of their diagnostic performance and association with prognostic markers. Pitfalls of UF-DCE MRI in the clinical situation are also covered. Since UF-DCE MRI is an evolving technique, future prospects of UF-DCE MRI are discussed in detail by citing recent evidence. The topic covers prediction of treatment response, multiparametric approach using DWI-derived parameters, evaluation of tumor-related vessels, and application of artificial intelligence for UF-DCE MRI. Along with comprehensive literature review, illustrative clinical cases are used to understand the value of UF-DCE MRI.</p>}},
  author       = {{Kataoka, Masako and Honda, Maya and Ohashi, Akane and Yamaguchi, Ken and Mori, Naoko and Goto, Mariko and Fujioka, Tomoyuki and Mori, Mio and Kato, Yutaka and Satake, Hiroko and Iima, Mami and Kubota, Kazunori}},
  keywords     = {{breast; compressed sensing; dynamic contrast enhanced; magnetic resonance imaging; ultrafast}},
  language     = {{eng}},
  month        = {{03}},
  number       = {{1}},
  pages        = {{83--94}},
  publisher    = {{Japan Society of Magnetic Resonance in Medicine}},
  series       = {{Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine}},
  title        = {{Ultrafast Dynamic Contrast-enhanced MRI of the Breast : How Is It Used?}},
  url          = {{http://dx.doi.org/10.2463/mrms.rev.2021-0157}},
  doi          = {{10.2463/mrms.rev.2021-0157}},
  volume       = {{21}},
  year         = {{2022}},
}