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. 2018 Feb;31(1):191-199.
doi: 10.1007/s10334-017-0621-4. Epub 2017 Apr 28.

Relationship between carotid plaque surface morphology and perfusion: a 3D DCE-MRI study

Affiliations

Relationship between carotid plaque surface morphology and perfusion: a 3D DCE-MRI study

Jianmin Yuan et al. MAGMA. 2018 Feb.

Abstract

Objective: This study aims to explore the relationship between plaque surface morphology and neovascularization using a high temporal and spatial resolution 4D contrast-enhanced MRI/MRA sequence.

Materials and methods: Twenty one patients with either recent symptoms or a carotid artery stenosis ≥40% were recruited in this study. Plaque surface morphology and luminal stenosis were determined from the arterial phase MRA images. Carotid neovascularization was evaluated by a previously validated pharmacokinetic (PK) modeling approach. K trans (transfer constant) and v p (partial plasma volume) were calculated in both the adventitia and plaque.

Results: Image acquisition and analysis was successfully performed in 28 arteries. Mean luminal stenosis was 44% (range 11-82%). Both adventitial and plaque K trans in ulcerated/irregular plaques were significantly higher than smooth plaques (0.079 ± 0.018 vs. 0.064 ± 0.011 min-1, p = 0.02; 0.065 ± 0.013 vs. 0.055 ± 0.010 min-1, p = 0.03, respectively). Positive correlations between adventitial K trans and v p against stenosis were observed (r = 0.44, p = 0.02; r = 0.55, p = 0.01, respectively).

Conclusion: This study demonstrates the feasibility of using a single sequence to acquire both high resolution 4D CE-MRA and DCE-MRI to evaluate both plaque surface morphology and function. The results demonstrate significant relationships between lumen surface morphology and neovascularization.

Keywords: Carotid atherosclerotic plaque; Contrast enhanced MR angiography (CE-MRA); Dynamic contrast enhanced MRI (DCE-MRI); Neovascularization; Plaque ulceration.

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Conflict of interest statement

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Figures

Fig. 1
Fig. 1
a Shows DCE images at different time frames at a single slice location within an ICA branch of the plaque. The dashed red and green lines in frame 5 show the boundary of carotid lumen and adventitia. b Shows the corresponding black blood T1w image with red and green lines delineating the lumen and wall boundary. c Represents the mean signal intensity time course within the lumen (red) and adventitia (green)
Fig. 2
Fig. 2
An ulcerated plaque in the multi-contrast MR protocol, including MIP from CE-MRA, oblique and axial reformat of CE-MRA, TOF-MRA, T1w, DTI, CE-T1w and VVI. The white arrow in CE-MRA suggests the ulcer arises perpendicularly from the lumen. The ulcer can be clearly seen on the CE-MRA images, while it is not clearly visible on the TOF-MRA images. The pre-contrast T1w image shows the lumen surface irregularity, and a thin or ruptured FC can be seen on the post-contrast T1w images (black arrow). The hyperintense area on MR-DTI represents a large intraplaque haemorrhage/thrombus (white arrow). The VVI has the range of v p from 0 to 65% and K trans from 0 to 0.5 min−1 which shows a high K trans region at the adventitia
Fig. 3
Fig. 3
Comparison of pharmacokinetic parameters in smooth and ulcerated/irregular plaque
Fig. 4
Fig. 4
a Shows the significant correlation between stenosis and adventitial K trans. b Shows the significant correlation between stenosis and adventitial v p. There is no significant correlation between plaque K trans or v p and stenosis (c, d)
Fig. 5
Fig. 5
Bland-Altman plots of the PK parameters derived after modelling the linear and non-linear relationships of signal intensity and Gd concentration. There is a significantly bias in PK values when using linear and non-linear assumption of image signal to Gd concentration. Note that K1trans and v p1 represent the linear model, and K2trans and v p2 represent the non-linear model

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