Histological Validation of 3D Variable Flip Angle TSE Multi-Contrast Magnetic Resonance Vessel Wall Imaging in Characterizing Carotid Vulnerable Atherosclerotic Plaques.

IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiovascular Magnetic Resonance Pub Date : 2024-10-21 DOI:10.1016/j.jocmr.2024.101112
Jiachen Liu, Zihan Ning, Chenlin Du, Shuo Chen, Tao Wang, Jingli Cao, Ran Huo, Dongye Li, Dandan Yang, Rui Shen, Shuwan Yu, Chunjiang Hu, Shuhao Wang, Huiyu Qiao, Xihai Zhao
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引用次数: 0

Abstract

Background: Accurate assessment of the vulnerability of carotid atherosclerotic plaques is crucial for stroke prevention. The three-dimensional (3D) magnetic resonance (MR) vessel wall imaging (VWI) has been increasingly employed to evaluate carotid plaques due to its extensive coverage and isotropic high spatial resolution. However, the accuracy of such technique lacks validation by histology.

Objective: This study aims to validate the accuracy of 3D multi-contrast MR VWI used variable-flip-angle (VFA) and turbo spin echo (TSE) readout in identifying vulnerable carotid plaques, using histological analysis as a reference.

Methods: Twenty-one male patients (mean age: 64.4 ± 7.2 years) scheduled for carotid endarterectomy (CEA) were recruited for this study. All patients underwent carotid multi-contrast MR VWI, including 3D T1- and T2-weighted variable flip angle-based turbo spin echo (VFA-TSE) sequences, as well as 3D time of flight (TOF) MR angiography (MRA), using a 3.0T MR system. Histological processing was performed for carotid plaque specimens. The presence or absence, along with the area measurements, of lipid-rich necrotic core (LRNC), intraplaque hemorrhage (IPH), and calcifications (CA) were independently evaluated on both MR images and histological sections. Cohen's kappa (κ) analysis was utilized to determine the agreement between 3D multi-contrast MR VWI and histology in identifying carotid plaque compositions before and after excluding compositions bellow certain size threshold. Spearman's correlation analysis was also conducted to assess the agreement in quantifying plaque compositions.

Results: A total of 81 slices of MR images were successfully matched with histological sections. Moderate to almost perfect agreements were observed between 3D MR VWI and histology in the identification of LRNC (κ: 0.85 and 0.89), IPH (κ: 0.65 and 0.69), and CA (κ: 0.46 and 0.62) before and after excluding compositions smaller than 0.79 mm2. Strong to very strong correlations were found in the quantification of plaque compositions including LRNC (r=0.88), IPH (r=0.80), and CA (r=0.74) between MR imaging and histology.

Conclusion: The 3D VFA-TSE multi-contrast MR VWI is capable of accurately characterizing vulnerable carotid atherosclerotic plaques.

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三维可变翻转角 TSE 多对比磁共振血管壁成像在确定颈动脉易动脉粥样硬化斑块特征方面的组织学验证
背景:准确评估颈动脉粥样硬化斑块的脆弱性对预防中风至关重要。三维(3D)磁共振(MR)血管壁成像(VWI)因其广泛的覆盖面和各向同性的高空间分辨率,越来越多地被用于评估颈动脉斑块。然而,这种技术的准确性缺乏组织学的验证:本研究旨在以组织学分析为参考,验证使用可变翻转角度(VFA)和涡轮自旋回波(TSE)读出的三维多对比 MR VWI 在识别易损颈动脉斑块方面的准确性:本研究招募了 21 名计划接受颈动脉内膜切除术(CEA)的男性患者(平均年龄:64.4 ± 7.2 岁)。所有患者均使用 3.0T 磁共振系统进行了颈动脉多对比 MR VWI,包括三维 T1 和 T2 加权可变翻转角涡轮自旋回波(VFA-TSE)序列,以及三维飞行时间(TOF)磁共振血管造影(MRA)。对颈动脉斑块标本进行了组织学处理。是否存在富脂坏死核心(LRNC)、斑块内出血(IPH)和钙化(CA)以及面积测量值均由 MR 图像和组织学切片独立评估。Cohen's kappa (κ)分析用于确定三维多对比 MR VWI 和组织学在识别颈动脉斑块成分之前和之后的一致性。此外,还进行了斯皮尔曼相关分析,以评估在量化斑块成分方面的一致性:结果:共有 81 张磁共振图像与组织学切片成功匹配。在排除小于 0.79 平方毫米的组成之前和之后,三维 MR VWI 和组织学在识别 LRNC(κ:0.85 和 0.89)、IPH(κ:0.65 和 0.69)和 CA(κ:0.46 和 0.62)方面观察到中度到几乎完美的一致性。MR成像和组织学之间在斑块成分量化方面发现了很强到非常强的相关性,包括LRNC(r=0.88)、IPH(r=0.80)和CA(r=0.74):结论:三维 VFA-TSE 多对比 MR VWI 能够准确描述易损颈动脉粥样硬化斑块的特征。
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来源期刊
CiteScore
10.90
自引率
12.50%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to: New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system. New methods to enhance or accelerate image acquisition and data analysis. Results of multicenter, or larger single-center studies that provide insight into the utility of CMR. Basic biological perceptions derived by CMR methods.
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