Khosa Faisal, Clough Rachel E, Wang Xiaoen, Madhuranthakam Ananth J, Greenman Robert L
Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, United States; Department of Radiology, Vancouver General Hospital, University of British Columbia, Canada.
Department of Cardiac Magnetic Resonance Imaging, Beth Israel Deaconess Medical Center, Harvard Medical School, United States; Division of Imaging Sciences and Biomedical Engineering, King's College London, United Kingdom.
Magn Reson Imaging. 2018 Jun;49:25-31. doi: 10.1016/j.mri.2017.12.002. Epub 2017 Dec 5.
Hemorrhage and lipid deposits contribute to instability in atherosclerotic plaques. Unstable carotid artery plaques can lead to cerebral ischemic events. While MRI studies have shown the ability to identify plaque components, the identification of hemorrhage and lipids has proven to be problematic. The purpose of this study was to quantitatively evaluate the potential of the MRI fat/water separation method known as iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL) to complement and improve existing methods for the identification of hemorrhage and lipids in carotid artery plaques. Fifteen asymptomatic subjects with 50-79% stenosis of at least one carotid artery were enrolled. Hemorrhage and lipid components within carotid plaques were identified using previously published criteria based on the multiple contrast-weighted (MCW) method (3D Time-of-Flight (3D-TOF), T1-Weighted (T1W) and T2-Weighted (T2W)). The hemorrhage:muscle, lipid:muscle and intra-plaque lipid:hemorrhage signal intensity ratios (SIR) and contrast to noise ratios (CNR) were measured on MCW and compared to IDEAL black-blood images. No differences were found between any of the MCW methods for any of the SIRs measured. The IDEAL Fat images had higher lipid:muscle and lipid/hemorrhage SIRs (p<0.001) compared to IDEAL Water and all MCW image sequence types. The mean values of IDEAL Fat hemorrhage:muscle SIR and CNR were nearly unity (1.1±0.6) and nearly zero (0.1±1.1), respectively. The IDEAL Water imaging was not significantly different than any of the MCW methods for any of the SIRs or for the hemorrhage:muscle CNR of 3D-TOF, while its CNRs were significantly higher than IDEAL Fat lipid:muscle (p<0.05) and lipid:hemorrhage (p<0.001) and all MCW methods (p<0.001). The addition of IDEAL Water and Fat imaging to the MCW method shows potential to improve the identification of hemorrhage and lipid structures in carotid artery plaques.
出血和脂质沉积会导致动脉粥样硬化斑块不稳定。不稳定的颈动脉斑块可引发脑缺血事件。虽然磁共振成像(MRI)研究已显示出识别斑块成分的能力,但事实证明,识别出血和脂质存在问题。本研究的目的是定量评估一种名为迭代分解水和脂肪的回波不对称与最小二乘估计(IDEAL)的MRI脂肪/水分离方法,以补充和改进现有的识别颈动脉斑块中出血和脂质的方法。纳入了15名至少一侧颈动脉狭窄50 - 79%的无症状受试者。基于多对比加权(MCW)方法(三维时间飞跃法(3D - TOF)、T1加权(T1W)和T2加权(T2W)),采用先前公布的标准识别颈动脉斑块内的出血和脂质成分。在MCW上测量出血与肌肉、脂质与肌肉以及斑块内脂质与出血的信号强度比(SIR)和对比噪声比(CNR),并与IDEAL黑血图像进行比较。对于所测量的任何SIR,在任何MCW方法之间均未发现差异。与IDEAL水图像和所有MCW图像序列类型相比,IDEAL脂肪图像具有更高的脂质与肌肉以及脂质/出血SIR(p < 0.001)。IDEAL脂肪出血与肌肉SIR和CNR的平均值分别接近1(1.1±0.6)和接近0(0.1±1.1)。对于任何SIR或3D - TOF的出血与肌肉CNR,IDEAL水成像与任何MCW方法均无显著差异,但其CNR显著高于IDEAL脂肪脂质与肌肉(p < 0.05)和脂质与出血(p < 0.001)以及所有MCW方法(p < 0.001)。将IDEAL水成像和脂肪成像添加到MCW方法中显示出改善识别颈动脉斑块中出血和脂质结构的潜力。