Ultrafast Dynamic Contrast-Enhanced MRI of the Breast : From Theory to Practice
(2023) In Journal of Magnetic Resonance Imaging- Abstract
The development of ultrafast dynamic contrast-enhanced (UF-DCE) MRI has occurred in tandem with fast MRI scan techniques, particularly view-sharing and compressed sensing. Understanding the strengths of each technique and optimizing the relevant parameters are essential to their implementation. UF-DCE MRI has now shifted from research protocols to becoming a part of clinical scan protocols for breast cancer. UF-DCE MRI is expected to compensate for the low specificity of abbreviated MRI by adding kinetic information from the upslope of the time-intensity curve. Because kinetic information from UF-DCE MRI is obtained from the shape and timing of the initial upslope, various new kinetic parameters have been proposed. These parameters may... (More)
The development of ultrafast dynamic contrast-enhanced (UF-DCE) MRI has occurred in tandem with fast MRI scan techniques, particularly view-sharing and compressed sensing. Understanding the strengths of each technique and optimizing the relevant parameters are essential to their implementation. UF-DCE MRI has now shifted from research protocols to becoming a part of clinical scan protocols for breast cancer. UF-DCE MRI is expected to compensate for the low specificity of abbreviated MRI by adding kinetic information from the upslope of the time-intensity curve. Because kinetic information from UF-DCE MRI is obtained from the shape and timing of the initial upslope, various new kinetic parameters have been proposed. These parameters may be associated with receptor status or prognostic markers for breast cancer. In addition to the diagnosis of malignant lesions, more emphasis has been placed on predicting and evaluating treatment response because hyper-vascularity is linked to the aggressiveness of breast cancers. In clinical practice, it is important to note that breast lesion images obtained from UF-DCE MRI are slightly different from those obtained by conventional DCE MRI in terms of morphology. A major benefit of using UF-DCE MRI is avoidance of the marked or moderate background parenchymal enhancement (BPE) that can obscure the target enhancing lesions. BPE is less prominent in the earlier phases of UF-DCE MRI, which offers better lesion-to-noise contrast. The excellent contrast of early-enhancing vessels provides a key to understanding the detailed pathological structure of tumor-associated vessels. UF-DCE MRI is normally accompanied by a large volume of image data for which automated/artificial intelligence-based processing is expected to be useful. In this review, both the theoretical and practical aspects of UF-DCE MRI are summarized. Evidence Level: 5. Technical Efficacy: Stage 2.
(Less)
- author
- Kataoka, Masako ; Honda, Maya ; Sagawa, Hajime ; Ohashi, Akane LU ; Sakaguchi, Rena ; Hashimoto, Hina ; Iima, Mami ; Takada, Masahiro and Nakamoto, Yuji
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- background parenchymal enhancement, breast cancer, kinetic analysis, maximum slope, time to enhancement, ultrafast dynamic contrast-enhanced MRI
- in
- Journal of Magnetic Resonance Imaging
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:38085134
- scopus:85179362760
- ISSN
- 1053-1807
- DOI
- 10.1002/jmri.29082
- language
- English
- LU publication?
- yes
- id
- b8300464-499d-4278-bb36-5ab0ae4d27da
- date added to LUP
- 2024-01-11 12:09:19
- date last changed
- 2024-04-12 06:00:58
@article{b8300464-499d-4278-bb36-5ab0ae4d27da,
abstract = {{<p>The development of ultrafast dynamic contrast-enhanced (UF-DCE) MRI has occurred in tandem with fast MRI scan techniques, particularly view-sharing and compressed sensing. Understanding the strengths of each technique and optimizing the relevant parameters are essential to their implementation. UF-DCE MRI has now shifted from research protocols to becoming a part of clinical scan protocols for breast cancer. UF-DCE MRI is expected to compensate for the low specificity of abbreviated MRI by adding kinetic information from the upslope of the time-intensity curve. Because kinetic information from UF-DCE MRI is obtained from the shape and timing of the initial upslope, various new kinetic parameters have been proposed. These parameters may be associated with receptor status or prognostic markers for breast cancer. In addition to the diagnosis of malignant lesions, more emphasis has been placed on predicting and evaluating treatment response because hyper-vascularity is linked to the aggressiveness of breast cancers. In clinical practice, it is important to note that breast lesion images obtained from UF-DCE MRI are slightly different from those obtained by conventional DCE MRI in terms of morphology. A major benefit of using UF-DCE MRI is avoidance of the marked or moderate background parenchymal enhancement (BPE) that can obscure the target enhancing lesions. BPE is less prominent in the earlier phases of UF-DCE MRI, which offers better lesion-to-noise contrast. The excellent contrast of early-enhancing vessels provides a key to understanding the detailed pathological structure of tumor-associated vessels. UF-DCE MRI is normally accompanied by a large volume of image data for which automated/artificial intelligence-based processing is expected to be useful. In this review, both the theoretical and practical aspects of UF-DCE MRI are summarized. Evidence Level: 5. Technical Efficacy: Stage 2.</p>}},
author = {{Kataoka, Masako and Honda, Maya and Sagawa, Hajime and Ohashi, Akane and Sakaguchi, Rena and Hashimoto, Hina and Iima, Mami and Takada, Masahiro and Nakamoto, Yuji}},
issn = {{1053-1807}},
keywords = {{background parenchymal enhancement; breast cancer; kinetic analysis; maximum slope; time to enhancement; ultrafast dynamic contrast-enhanced MRI}},
language = {{eng}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Journal of Magnetic Resonance Imaging}},
title = {{Ultrafast Dynamic Contrast-Enhanced MRI of the Breast : From Theory to Practice}},
url = {{http://dx.doi.org/10.1002/jmri.29082}},
doi = {{10.1002/jmri.29082}},
year = {{2023}},
}