five

Lesion evolution and neurodegeneration in RVCL-S, a monogenic microvasculopathy

收藏
DataCite Commons2025-06-01 更新2025-04-10 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.stqjq2c0j
下载链接
链接失效反馈
官方服务:
资源简介:
Objective: To characterize lesion evolution and neurodegeneration in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) using multimodal MRI.  Methods: We prospectively performed MRI and cognitive testing in RVCL-S and healthy control cohorts. Gray and white matter volume and disruption of white matter microstructure were quantified. Asymmetric spin echo acquisition permitted voxel-wise oxygen extraction fraction (OEF) calculation as an in vivo marker of microvascular ischemia. The RVCL-S cohort was included in a longitudinal analysis of lesion subtypes in which hyperintense lesions on FLAIR, T1-post-gadolinium, and diffusion-weighted imaging were delineated and quantified volumetrically. Results: Twenty individuals with RVCL-S and 26 controls were enrolled. White matter volume and microstructure declined faster in RVCL–S compared to controls. White matter atrophy in RVCL-S was highly linear (ρ=-0.908, p<0.0001). Normalized OEF was elevated in RVCL-S, and increased with disease duration. Multiple cognitive domains, specifically those measuring working memory and processing speed, were impaired in RVCL-S. Lesion volumes, regardless of subtype, progressed/regressed with high variability as a function of age, while FLAIR lesion burden increased near time-to-death (p<0.001). Conclusion: RVCL-S is a monogenic microvasculopathy predominantly affecting the white matter with regard to atrophy and cognitive impairment. White matter volumes in RVCL-S declined linearly, providing a potential metric against which to test efficacy of future therapies. Progressive elevation of white matter OEF suggests microvascular ischemia may underlie neurodegeneration in RVCL-S.
提供机构:
Dryad
创建时间:
2020-04-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作