The Diagnostic Value of Multi Ultra High-b-value DWI for Alzheimer’s Disease

2021 ◽  
Author(s):  
Tianxiu Zheng ◽  
Qiuyan Chen ◽  
Yanhua Qiu ◽  
Deyong Zhang ◽  
Liwei Shi ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
B Value ◽  
Diagnostic Value ◽  
White Matter Hyperintensity ◽  
Periventricular White Matter ◽  
High B Value ◽  
Left Hippocampus ◽  
Hippocampus Volume

Abstract To evaluate the diagnostic value of multi-ultra high b-value diffusion-weighted imaging (UHBV-DWI) in Alzheimer’s disease (AD), and to build a regression prediction modelfor AD.90 participants including 30 AD, 30 mild cognitive impairments (MCI) and 30 volunteers without neurological diseases were enrolled to perform with hippocampal volume, white matter hyperintensities volume (WMH volume), periventricular white matter hyperintensity (PVWMH) score, deep white matter hyperintensity (DWMH) score and UHBV-DWI.We found UHBV-DWI outperformed in the diagnosis of AD (AUC = 0.858), and multiple linear regression model: y = 0.515 + 0.018 *(WMH volume) + 0.221 *(ADCuh value)-0.359 *(left hippocampus volume) were established.So we came to a conclusion: UHBV-DWI is helpful for diagnosing AD, and the combination of WMH volume and left hippocampus volume has a better diagnostic performance.

High b value diffusion-weighted imaging is more sensitive to white matter degeneration in Alzheimer's disease

NeuroImage ◽  
2003 ◽  
Vol 20 (1) ◽  
pp. 413-419 ◽  
Author(s):  
Takashi Yoshiura ◽  
Futoshi Mihara ◽  
Atsuo Tanaka ◽  
Koji Ogomori ◽  
Yasumasa Ohyagi ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
High B Value ◽  
Diffusion Weighted ◽  
White Matter Degeneration

Abstract 44: Associations of Atrial Fibrillation, Neuroimaging Measures of Cerebrovascular Disease and Alzheimer’S Disease-related Pathology, and Cognitive Impairment

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Jonathan Graff-Radford ◽  
Rosebud Roberts ◽  
Malini Madhavan ◽  
Alejandro Rabinstein ◽  
Ruth Cha ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
White Matter ◽  
Cerebrovascular Disease ◽  
Regression Models ◽  
Grey Matter ◽  
White Matter Hyperintensity ◽  
Carrier Status

The objective of this study was to investigate the cross-sectional associations of atrial fibrillation with neuroimaging measures of cerebrovascular disease and Alzheimer’s disease-related pathology, and their interaction with cognitive impairment. MRI scans of non-demented individuals (n=1044) from the population-based Mayo Clinic Study of Aging were analyzed for infarctions, total grey matter, hippocampal and white matter hyperintensity volumes. A subset of 496 individuals underwent FDG and C-11 Pittsburgh compound B (PiB) PET scans. We assessed the associations of atrial fibrillation with i) categorical MRI measures (cortical and subcortical infarctions) using multivariable logistic regression models, and with ii) continuous MRI measures ( hippocampal, total grey matter, and white matter hyperintensity volumes) and FDG-PET and PiB-PET measures using multivariable linear regression models, and adjusting for confounders. Among participants who underwent MRI (median age, 77.8, 51.6% male), 13.5% had atrial fibrillation. Presence of atrial fibrillation was associated with subcortical infarctions (odds ratio [OR], 1.83; p=0.002), cortical infarctions (OR, 1.91; p=0.03), total grey matter volume (Beta [β], -.025, p<.0001) after controlling for age, education, gender, APOE e4 carrier status, coronary artery disease, diabetes, history of clinical stroke, and hypertension. However, atrial fibrillation was not associated with white matter hyperintensity volume, hippocampal volume, Alzheimer’s pattern of FDG hypometabolism or PiB uptake. There was a significant interaction of cortical infarction (p for interaction=0.004) and subcortical infarction (p for interaction =0.015) with atrial fibrillation with regards to odds of mild cognitive impairment (MCI). Using subjects with no atrial fibrillation and no infarction as the reference, the OR (95% confidence intervals [CI]) for MCI was 2.98 (1.66, 5.35;p = 0.0002) among participants with atrial fibrillation and any infarction, 0.69 (0.36, 1.33;p= 0.27) for atrial fibrillation and no infarction, and 1.50 (0.96, 2.32;p = 0.07) for no atrial fibrillation and any infarction. These data highlight that atrial fibrillation is associated with MCI in the presence of infarctions.

Automatic determination of white matter hyperintensity properties in relation to the development of Alzheimer's disease

2016 ◽  
Author(s):  
Sandra van der Velden ◽  
Christoph Moenninghoff ◽  
Isabel Wanke ◽  
Martha Jokisch ◽  
Christian Weimar ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
White Matter Hyperintensity ◽  
Automatic Determination

White matter hyperintensity burden in elderly cohort studies: The Sunnybrook Dementia Study, Alzheimer's Disease Neuroimaging Initiative, and Three-City Study

2015 ◽  
Vol 12 (2) ◽  
pp. 203-210 ◽  
Author(s):  
Joel Ramirez ◽  
Alicia A. McNeely ◽  
Christopher J.M. Scott ◽  
Mario Masellis ◽  
Sandra E. Black ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Cohort Studies ◽  
White Matter Hyperintensity ◽  
Elderly Cohort

scholarly journals The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition

2020 ◽  
Author(s):  
Mahsa Dadar ◽  
Richard Camicioli ◽  
Simon Duchesne ◽  
D. Louis Collins ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
Amyloid Β ◽  
Disease Assessment ◽  
White Matter Hyperintensity ◽  
List Type ◽  
Temporal Relationships

ABSTRACTINTRODUCTIONCognitive decline in Alzheimer’s disease is associated with amyloid-β accumulation, neurodegeneration and cerebral small vessel disease, but the temporal relationships between these factors is not well established.METHODSData included white matter hyperintensity (WMH) load, grey matter (GM) atrophy and Alzheimer’s Disease Assessment Scale-Cognitive-Plus (ADAS13) scores for 720 participants and cerebrospinal fluid amyloid (Aβ1-42) for 461 participants from the Alzheimer’s Disease Neuroimaging Initiative. Linear regressions were used to assess the relationships between baseline WMH, GM, and Aβ1-42 to changes in WMH, GM, Aβ1-42, and cognition at one-year follow-up.RESULTSBaseline WMHs and Aβ1-42 predicted WMH increase and GM atrophy. Baseline WMHs, GM, and Aβ1-42 predicted worsening cognition. Only baseline Aβ1-42 predicted change in Aβ1-42.DISCUSSIONBaseline WMHs lead to greater future GM atrophy and cognitive decline, suggesting that WM damage precedes neurodegeneration and cognitive decline. Baseline Aβ1-42 predicted WMH increase, suggesting a potential role of amyloid in WM damage.Research in ContextSystematic Review: Both amyloid β and neurodegeneration are primary pathologies in Alzheimer’s disease. White matter hyperintensities (indicative of presence of cerebrovascular disease) might also be part of the pathological changes in Alzheimer’s. However, the temporal relationship between white matter hyperintensities, amyloid β, neurodegeneration, and cognitive decline is still unclear.Interpretation: Our results establish a potential temporal order between white matter hyperintensities, amyloid β, neurodegeneration, and cognitive decline, showing that white matter hyperintensities precede neurodegeneration and cognitive decline. The results provide some evidence that amyloid β deposition, in turn, precedes accumulation of white matter hyperintensities.Future Directions: The current findings reinforce the need for future longitudinal investigations of the mechanisms through which white matter hyperintensities impact the aging population in general and Alzheimer’s disease patients, in particular.

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