Truong My, Lennartsson Finn, Bibic Adnan, Sundius Lena, Persson Ana, Siemund Roger, In't Zandt René, Goncalves Isabel, Wassélius Johan
Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Medical Imaging Department, Neuroradiology, 22185, Lund, Sweden.
Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Eur J Radiol Open. 2021 Jan 21;8:100323. doi: 10.1016/j.ejro.2021.100323. eCollection 2021.
Histopathology is the gold standard for analysis of atherosclerotic plaques but has drawbacks due to the destructive nature of the method. MRI is a non-destructive method to image whole plaques. Our aim was to use quantitative high field MRI to classify plaque components, with histology as gold standard.
Surgically resected carotid plaques from 12 patients with recent TIA or stroke were imaged at 11.7 T MRI. Quantitative T1/T2* mapping sequences and qualitative T1/T2* gradient echo sequences with voxel size of 30 × 30 × 60 μm were obtained prior to histological preparation, sectioning and staining for lipids, inflammation, hemorrhage, and fibrous tissue. Regions of interest (ROI) were selected based on the histological staining at multiple levels matched between histology and MRI. The MRI parameters of each ROI were then analyzed with quadratic discriminant analysis (QDA) for classification.
A total of 965 ROIs, at 70 levels matched between histology and MRI, were registered based on histological staining. In the nine plaques where three or more plaque components were possible to co-localize with MRI, the mean degree of misclassification by QDA was 16.5 %. One of the plaques contained mostly fibrous tissue and lipids and had no misclassifications, and two plaques mostly contained fibrous tissue. QDA generally showed good classification for fibrous tissue and lipids, whereas plaques with hemorrhage and inflammation had more misclassifications.
11.7 T high field MRI shows good visual agreement with histology in carotid plaques. T1/T2* maps analyzed with QDA is a promising non-destructive method to classify plaque components, but with a higher degree of misclassifications in plaques with hemorrhage or inflammation.
组织病理学是分析动脉粥样硬化斑块的金标准,但由于该方法具有破坏性,存在一定缺陷。磁共振成像(MRI)是一种对整个斑块进行成像的非破坏性方法。我们的目的是使用定量高场MRI对斑块成分进行分类,并将组织学作为金标准。
对12例近期发生短暂性脑缺血发作(TIA)或中风的患者手术切除的颈动脉斑块进行11.7 T MRI成像。在进行组织学制备、切片以及脂质、炎症、出血和纤维组织染色之前,获取体素大小为30×30×60μm的定量T1/T2映射序列和定性T1/T2梯度回波序列。根据组织学和MRI匹配的多个层面的组织学染色选择感兴趣区域(ROI)。然后使用二次判别分析(QDA)分析每个ROI的MRI参数以进行分类。
基于组织学染色,共登记了965个ROI,这些ROI在组织学和MRI之间有70个层面相匹配。在9个斑块中,三种或更多斑块成分可能与MRI共定位,QDA的平均误分类程度为16.5%。其中一个斑块主要包含纤维组织和脂质,没有误分类,另外两个斑块主要包含纤维组织。QDA对纤维组织和脂质通常显示出良好的分类效果,而有出血和炎症的斑块误分类更多。
11.7 T高场MRI在颈动脉斑块中与组织学表现出良好的视觉一致性。用QDA分析的T1/T2*图是一种有前景的非破坏性斑块成分分类方法,但在有出血或炎症的斑块中误分类程度较高。