Li Yan, Xiao Rui, Yang Jie, Dan Hongfu, Wu Hengping, Han Limei, Liu Zhongqin, Zhong Jianquan, Feng Hao
Department of Radiology/Zigong First People's Hospital, Zigong, SiChuan, China.
Department of Radiology/Zigong First People's Hospital, Zigong, SiChuan, China.
Brain Res Bull. 2025 Oct 1;230:111499. doi: 10.1016/j.brainresbull.2025.111499. Epub 2025 Aug 4.
to use multiple diffusion models to characterize the microstructural changes in the brains of patients with hypertension.
This study included 35 healthy controls (HC), 21 patients with untreated hypertension, and 25 patients with medically treated hypertension. All subjects underwent both routine MRI and diffusion spectrum imaging (DSI). DSI were reconstructed to obtain diffusion MRI models, including diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI) and mean apparent propagator-MRI (MAP-MRI). Tract-based spatial statistics (TBSS) were used to analyze the parameters among the three groups. Depending on the type of data, the proper statistical tests were used.
No statistically significant differences were observed between the HC group and the treated group. The untreated group showed considerably lower fractional anisotropy (FA) values than the HC group in almost all white matter areas. Significantly higher mean diffusivity (MD) and radial diffusivity (RD) values were seen in the untreated group. The untreated group exhibited considerably greater extracellular volume fraction (ECVF) values of the white matter. Compared to the differences found between the HC and untreated groups, the differences in multiple derived-parameters of NODDI and MAP-MRI were comparatively less between the treated and untreated groups. Strong positive associations were seen between the systolic pressure and the ECVF values of multiple brain regions.
NODDI and MAP-MRI derived-parameters are more sensitive to brain white matter injury in hypertension. The ECVF readings of the NODDI may more accurately represent white matter damage linked to hypertension.
使用多种扩散模型来表征高血压患者大脑的微观结构变化。
本研究纳入35名健康对照者(HC)、21名未经治疗的高血压患者和25名接受药物治疗的高血压患者。所有受试者均接受常规MRI和扩散谱成像(DSI)检查。对DSI进行重建以获得扩散MRI模型,包括扩散张量成像(DTI)、神经突方向离散度和密度成像(NODDI)以及平均表观传播子-MRI(MAP-MRI)。采用基于纤维束的空间统计学(TBSS)分析三组之间的参数。根据数据类型使用适当的统计检验。
HC组和治疗组之间未观察到统计学上的显著差异。未经治疗的组在几乎所有白质区域的各向异性分数(FA)值均显著低于HC组。未经治疗的组的平均扩散率(MD)和径向扩散率(RD)值明显更高。未经治疗的组白质的细胞外体积分数(ECVF)值明显更大。与HC组和未经治疗组之间的差异相比,治疗组和未经治疗组之间NODDI和MAP-MRI的多个派生参数的差异相对较小。收缩压与多个脑区的ECVF值之间存在强正相关。
NODDI和MAP-MRI派生参数对高血压患者脑白质损伤更敏感。NODDI的ECVF读数可能更准确地反映与高血压相关的白质损伤。