Suppr超能文献

使用 MRI 识别有症状的小血管病中的临床前血管性痴呆。

Identifying preclinical vascular dementia in symptomatic small vessel disease using MRI.

机构信息

Wellcome Centre for Human Neuroimaging, 12 Queen Square, WC1N 3BG London, UK; Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.

Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.

出版信息

Neuroimage Clin. 2018 Jun 20;19:925-938. doi: 10.1016/j.nicl.2018.06.023. eCollection 2018.

Abstract

Sporadic cerebral small vessel disease is an important cause of vascular dementia, a syndrome of cognitive impairment together with vascular brain damage. At post-mortem pure vascular dementia is rare, with evidence of co-existing Alzheimer's disease pathology in 95% of cases. This work used MRI to characterize structural abnormalities during the preclinical phase of vascular dementia in symptomatic small vessel disease. 121 subjects were recruited into the St George's Cognition and Neuroimaging in Stroke study and followed up longitudinally for five years. Over this period 22 individuals converted to dementia. Using voxel-based morphometry, we found structural abnormalities present at baseline in those with preclinical dementia, with reduced grey matter density in the left striatum and hippocampus, and more white matter hyperintensities in the frontal white-matter. The lacunar data revealed that some of these abnormalities may be due to lesions within the striatum and centrum semiovale. Using support vector machines, future dementia could be best predicted using hippocampal and striatal Jacobian determinant data, achieving a balanced classification accuracy of 73%. Using cluster ward linkage we identified four anatomical subtypes. Successful predictions were restricted to groups with lower levels of vascular damage. The subgroup that could not be predicted were younger, further from conversion, had the highest levels of vascular damage, with milder cognitive impairment at baseline but more rapid deterioration in processing speed and executive function, consistent with a primary vascular dementia. In contrast, the remaining groups had decreasing levels of vascular damage and increasing memory impairment consistent with progressively more Alzheimer's-like pathology. Voxel-wise rates of hippocampal atrophy supported these distinctions, with the vascular group closely resembling the non-dementing cohort, whereas the Alzheimer's like group demonstrated global hippocampal atrophy. This work reveals distinct anatomical endophenotypes in preclinical vascular dementia, forming a spectrum between vascular and Alzheimer's like pathology. The latter group can be identified using baseline MRI, with 73% converting within 5 years. It was not possible to predict the vascular dominant dementia subgroup, however 19% of negative predictions with high levels of vascular disease would ultimately develop dementia. It may be that techniques more sensitive to white matter damage, such as diffusion weighted imaging, may prove more useful for this vascular dominant subgroup in the future. This work provides a way to accurately stratify patients using a baseline MRI scan, and has utility in future clinical trials designed to slow or prevent the onset of dementia in these high-risk cohorts.

摘要

散发性脑小血管病是血管性痴呆的重要病因,血管性痴呆是一种认知功能损害合并血管性脑损伤的综合征。尸检证实,单纯的血管性痴呆很少见,95%的病例均有同时存在的阿尔茨海默病病理学证据。本研究使用 MRI 对有症状的小血管疾病患者的血管性痴呆临床前期的结构异常进行了特征描述。121 名受试者被纳入圣乔治认知与卒中神经影像学研究中,并进行了长达五年的纵向随访。在此期间,22 人转为痴呆。通过体素形态计量学分析,我们发现临床前期痴呆患者的基线存在结构异常,左侧纹状体和海马灰质密度降低,额白质的脑白质高信号增多。腔隙数据显示,这些异常中的一些可能是由于纹状体和大脑半卵圆中心的病变所致。使用支持向量机,未来痴呆的预测效果最佳,使用海马和纹状体雅可比行列式数据,平衡分类准确率为 73%。通过聚类 ward 链接,我们识别了四个解剖亚型。成功的预测仅限于血管损伤水平较低的组。无法预测的亚组年龄较小,距离转化时间较远,血管损伤程度最高,基线认知障碍较轻,但处理速度和执行功能的恶化速度较快,与原发性血管性痴呆一致。相比之下,其余组的血管损伤水平降低,记忆障碍程度增加,与逐渐增加的阿尔茨海默病样病理学一致。体素层面的海马萎缩率支持了这些区别,血管组与非痴呆组非常相似,而阿尔茨海默病样组则表现为全海马萎缩。本研究揭示了临床前期血管性痴呆中不同的解剖学表型,在血管性和阿尔茨海默病样病理学之间形成了一个连续谱。后者可通过基线 MRI 识别,73%的患者在 5 年内转化。无法预测血管优势痴呆亚组,但 19%的高血管疾病阴性预测最终会发展为痴呆。可能是由于更敏感的白质损伤检测技术,如弥散加权成像,在未来对血管优势亚组可能会更有用。本研究提供了一种使用基线 MRI 扫描对患者进行准确分层的方法,在未来针对这些高危人群延缓或预防痴呆发生的临床试验中具有实用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71e5/6039843/da2d33b0d591/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验