全脑血管结构图可识别体内特定区域的微血管轮廓

Anja Hohmann, Ke Zhang, Christoph M Mooshage, Johann M E Jende, Lukas T Rotkopf, Heinz-Peter Schlemmer, Martin Bendszus, Wolfgang Wick, Felix T Kurz
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引用次数: 0

摘要

背景和目的:血管结构图这一新型磁共振成像技术可在体内描述大脑微血管的局部变化,但健康脑组织中的血管结构图参数缺乏参考范围,这限制了其作为磁共振成像生物标志物在临床实践中的潜在适用性。我们在一个大型队列中进行了全脑血管结构映射,以确定血管结构映射参数的参考范围,并识别特定区域的皮层和皮层下微血管概况:这是对患有单灶、稳定的低级别胶质瘤的成年患者进行的单中心检查,采用平行成像技术,在 3T 下使用多波段自旋和梯度回波 EPI 序列。在造影剂注射过程中,将梯度回波(R2*)与自旋回波(R2)弛豫率的结果值按体素绘制成血管涡流曲线,从而提取出代表血管类型、血管半径或底层体素中 CBV 的血管结构映射参数。计算了9个参数的平均全脑参数图,并根据标准化脑图谱和单个皮层GM和WM分割进行了VOI分析:受试者(n = 106;平均年龄 39.2 [SD, 12.5] 岁;56 名女性)的血管风险因素发生率与德国人群相似。与 WM 相比,我们发现皮质 GM 的平均血管口径更大(5.80 [SD, 0.59] 对 4.25 [SD, 0.62] P -1 对 11.05 [SD, 2.44] s-1;P -2 对 -5.41 [SD, 2.84] s-2;P 结论:成人大脑全脑血管结构图揭示了特定区域的微血管特征。所获得的不同解剖和功能脑区的参数参考范围可用于未来脑血管病变的血管结构图研究,并有助于早期发现神经变性和神经肿瘤学等方面的微血管变化。
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Whole-Brain Vascular Architecture Mapping Identifies Region-Specific Microvascular Profiles In Vivo.

Background and purpose: The novel MR imaging technique of vascular architecture mapping allows in vivo characterization of local changes in cerebral microvasculature, but reference ranges for vascular architecture mapping parameters in healthy brain tissue are lacking, limiting its potential applicability as an MR imaging biomarker in clinical practice. We conducted whole-brain vascular architecture mapping in a large cohort to establish vascular architecture mapping parameter references ranges and identify region-specific cortical and subcortical microvascular profiles.

Materials and methods: This was a single-center examination of adult patients with unifocal, stable low-grade gliomas with multiband spin- and gradient-echo EPI sequence at 3T using parallel imaging. Voxelwise plotting of resulting values for gradient-echo (R2*) versus spin-echo (R2) relaxation rates during contrast agent bolus administration generates vessel vortex curves that allow the extraction of vascular architecture mapping parameters representative of, eg, vessel type, vessel radius, or CBV in the underlying voxel. Averaged whole-brain parametric maps were calculated for 9 parameters, and VOI analysis was conducted on the basis of a standardized brain atlas and individual cortical GM and WM segmentation.

Results: Prevalence of vascular risk factors among subjects (n = 106; mean age, 39.2 [SD, 12.5] years; 56 women) was similar to those in the German population. Compared with WM, we found cortical GM to have larger mean vascular calibers (5.80 [SD, 0.59] versus 4.25 [SD, 0.62] P < .001), increased blood volume fraction (20.40 [SD, 4.49] s-1 versus 11.05 [SD, 2.44] s-1; P < .001), and a dominance of venous vessels. Distinct microvascular profiles emerged for cortical GM, where vascular architecture mapping vessel type indicator differed, eg, between the thalamus and cortical GM (mean, -2.47 [SD, 4.02] s-2 versus -5.41 [SD, 2.84] s-2; P < .001). Intraclass correlation coefficient values indicated overall high test-retest reliability for vascular architecture mapping parameter mean values when comparing multiple scans per subject.

Conclusions: Whole-brain vascular architecture mapping in the adult brain reveals region-specific microvascular profiles. The obtained parameter reference ranges for distinct anatomic and functional brain areas may be used for future vascular architecture mapping studies on cerebrovascular pathologies and might facilitate early discovery of microvascular changes, in, eg, neurodegeneration and neuro-oncology.

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