Wang Lingjie, Ke Jun, Hu Xiaoyin, Zhu Mo, Yu Yixing
Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, People's Republic of China.
Neuropsychiatr Dis Treat. 2022 Aug 1;18:1583-1591. doi: 10.2147/NDT.S371404. eCollection 2022.
Lacunar infarction is usually diagnosed by conventional technologies, such as CT and diffusion weighted imaging (DWI). To improve the accuracy of diagnosis, neurocognitive screening is still needed. Therefore, additional imaging methods that can assist and provide more accurate and rapid diagnostics are urgently needed. As an initial step towards potentially using MR elastography (MRE) for such diagnostic purposes, we tested the hypothesis that the mechanical properties of tissue in the vicinity of cerebral vasculature change following lacunar infarction in a way that can be quantified using MRE.
MRE and MR angiography (MRA) images from 51 patients diagnosed with lacunar infarction and 54 healthy volunteers were acquired on a 3T scanner. All diagnoses were confirmed by matching neurocognitive test results to locations of flow obstruction in MRA. ROIs of the cerebral vessels segmented on the MRA images were mapped to the MRE images. Interpolation-based inversion was applied to estimate the regional biomechanical properties of ROIs that included cerebral vessels. The effects of lacunar infarction, sex, and age were analyzed using analysis of covariance (ANOCOVA).
Shear moduli over vessel ROIs were significantly lower for the lacunar infarction group than those of the healthy control group. A positive correlation between modulus over vessel ROIs and age was observed. However, no significant correlation was found between sex and the regional biomechanical properties of the vessel ROIs.
Results supported the hypothesis and suggest that biomechanical properties may be of utility in diagnosis of lacunar infarction.
腔隙性脑梗死通常通过传统技术进行诊断,如CT和弥散加权成像(DWI)。为提高诊断准确性,仍需要进行神经认知筛查。因此,迫切需要能够辅助并提供更准确、快速诊断的额外成像方法。作为将磁共振弹性成像(MRE)潜在用于此类诊断目的的第一步,我们检验了以下假设:腔隙性脑梗死后脑血管周围组织的力学特性会以一种可通过MRE进行量化的方式发生变化。
在一台3T扫描仪上获取了51例被诊断为腔隙性脑梗死的患者以及54名健康志愿者的MRE和磁共振血管造影(MRA)图像。所有诊断均通过将神经认知测试结果与MRA中血流阻塞的位置相匹配来确认。在MRA图像上分割出的脑血管感兴趣区(ROI)被映射到MRE图像上。应用基于插值的反演来估计包括脑血管在内的ROI的区域生物力学特性。使用协方差分析(ANOCOVA)分析腔隙性脑梗死、性别和年龄的影响。
腔隙性脑梗死组血管ROI上的剪切模量显著低于健康对照组。观察到血管ROI上的模量与年龄呈正相关。然而,未发现性别与血管ROI的区域生物力学特性之间存在显著相关性。
结果支持了该假设,并表明生物力学特性可能有助于腔隙性脑梗死的诊断。