Why the study?
Existing sequential acquisition-based multi-parametric carotid MRI techniques lack bright blood imaging, which is essential for plaque component identification and boundary delineation.
Does a three-dimensional joint bright, gray, and black blood magnetic resonance imaging technique provide accurate and repeatable multi-parametric imaging of the carotid artery compared to reference sequences?
Does a three-dimensional joint bright, gray, and black blood magnetic resonance imaging technique provide accurate and repeatable multi-parametric imaging of the carotid artery compared to reference sequences?
A novel 3D joint bright, gray, and black blood MRI technique demonstrates high accuracy and repeatability for multi-parametric imaging of carotid artery plaques.
Supports technical validation of 3D multi-parametric carotid MRI; leaves open clinical utility pending prospective studies.
BACKGROUND: Multi-parametric imaging of the carotid artery enables quantitative characterization of vulnerable atherosclerotic plaques, which is crucial for preventing ischemic stroke. However, the existing sequential acquisition-based multi-parametric imaging techniques of carotid artery lack bright blood imaging, which is essential for plaque components identification and boundary delineation. This study aims to develop a joint bright, gray, and black blood imaging technique for carotid artery multi-parametric imaging and validate its accuracy and feasibility. METHODS: The proposed technique incorporated variable flip angles, variable duration of improved motion-sensitized driven equilibrium prepulse, and variable time of echo mapping strategies with three-dimensional multi-shot spoiled gradient-recalled echo acquisition, generating T1, T2, and T2* maps. Bright, gray, and black blood images were sequentially acquired in six scans covering the entire extracranial artery with isotropic resolution (0.7 mm) when natural inflow blood enhancement and imposed blood suppression module were alternatively performed. A B1-specific dictionary was simulated and matched to the measured signal for T1 and T2 estimation while least square fitting was applied for T2* estimation. The proposed technique was compared against reference sequences and validated in healthy volunteers (n = 8) and patients (n = 4) with carotid atherosclerotic plaques. RESULTS: = 0.99 in T1, T2, and T2* measurements with standard sequences in phantom study. In healthy volunteer study, the proposed technique reached high intraclass correlation coefficients (ICC: 0.906-0.956) with reference sequences in measuring T1, T2, and T2* of cervical muscle, but overestimation and underestimation were observed in T1 (against modified Look-Locker inversion-recovery, bias = 4.8%) and T2 (against gradient and spin echo sequence, bias = -3.3%), respectively. No significant difference was found in the measurement of morphology and quantitative parameters between scan and rescan, while excellent intra- (ICC: 0.804-0.999) and inter-observer (ICC: 0.816-0.982) repeatability was reached. In patient study, the proposed technique demonstrated reliable performance in analyzing vascular morphology and characterizing plaque components with distinctive signal characteristics and quantitative values. CONCLUSION: The proposed technique enables joint bright, gray, and black blood imaging technique for carotid artery multi-parametric imaging with large coverage and isotropic resolution, indicating clinical potential for comprehensive characterization of carotid vulnerable plaque.
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Xu et al. (2025) studied this question.
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