Principal components analysis of brain metabolism predicts development of Alzheimer dementia
G Blazhenets, Y Ma, A Sörensen… - Journal of Nuclear …, 2019 - Soc Nuclear Med
The value of 18F-FDG PET for predicting conversion from mild cognitive impairment (MCI) to
Alzheimer dementia (AD) is currently under debate. We used a principal components …
Alzheimer dementia (AD) is currently under debate. We used a principal components …
[HTML][HTML] Potential clinical value of multiparametric PET in the prediction of Alzheimer's disease progression
X Chen, Y Zhou, R Wang, H Cao, S Reid, R Gao… - PLoS …, 2016 - journals.plos.org
Objective To evaluate the potential clinical value of quantitative functional FDG PET and
pathological amyloid-β PET with cerebrospinal fluid (CSF) biomarkers and clinical …
pathological amyloid-β PET with cerebrospinal fluid (CSF) biomarkers and clinical …
A cross-validation of FDG-and amyloid-PET biomarkers in mild cognitive impairment for the risk prediction to dementia due to Alzheimer's disease in a clinical setting
Assessments of brain glucose metabolism (18F-FDG-PET) and cerebral amyloid burden
(11C-PiB-PET) in mild cognitive impairment (MCI) have shown highly variable performances …
(11C-PiB-PET) in mild cognitive impairment (MCI) have shown highly variable performances …
[HTML][HTML] Prognosis of conversion of mild cognitive impairment to Alzheimer's dementia by voxel-wise Cox regression based on FDG PET data
A Sörensen, G Blazhenets, G Rücker, F Schiller… - NeuroImage: Clinical, 2019 - Elsevier
Aim The value of 18 F-fluorodeoxyglucose (FDG) PET for the prognosis of conversion from
mild cognitive impairment (MCI) to Alzheimer's dementia (AD) is controversial. In the present …
mild cognitive impairment (MCI) to Alzheimer's dementia (AD) is controversial. In the present …
Visual rating and computer-assisted analysis of FDG PET in the prediction of Conversion to Alzheimer's disease in mild cognitive impairment
JM Kang, JY Lee, YK Kim, BK Sohn, MS Byun… - Molecular Diagnosis & …, 2018 - Springer
Background Fluorodeoxyglucose (FDG) positron emission tomography (PET) is useful to
predict Alzheimer's disease (AD) conversion in patients with mild cognitive impairment …
predict Alzheimer's disease (AD) conversion in patients with mild cognitive impairment …
[HTML][HTML] Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Amyloid PET and Brain MR Imaging Data: A 48-Month Follow-Up …
DH Kim, M Oh, JS Kim - Diagnostics, 2023 - mdpi.com
We developed a novel quantification method named “shape feature” by combining the
features of amyloid positron emission tomography (PET) and brain magnetic resonance …
features of amyloid positron emission tomography (PET) and brain magnetic resonance …
Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia
Purpose To introduce, evaluate and validate a voxel-based analysis method of 18 F-FDG
PET imaging for determining the probability of Alzheimer's disease (AD) in a particular …
PET imaging for determining the probability of Alzheimer's disease (AD) in a particular …
[HTML][HTML] Monitoring alzheimer's disease progression in mild cognitive impairment stage using machine learning-based FDG-PET classification methods
I Beheshti, N Geddert, J Perron, V Gupta… - Journal of …, 2022 - content.iospress.com
Background: We previously introduced a machine learning-based Alzheimer's Disease
Designation (MAD) framework for identifying AD-related metabolic patterns among …
Designation (MAD) framework for identifying AD-related metabolic patterns among …
Comparison of Neuroimaging Modalities for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Dementia
P Trzepacz, P Yu, J Sun, K Schuh… - … American journal of …, 2013 - Am Assoc Geria Psych
Methods We analyzed ADNI 1 data available as of Aug. 2011. A total of 29 numeric
variables were considered, comprising both region of interest (ROI) and composite imaging …
variables were considered, comprising both region of interest (ROI) and composite imaging …
Principal-component analysis–based measures of PET data closely reflect neuropathologic staging schemes
G Blazhenets, L Frings, A Sörensen… - Journal of Nuclear …, 2021 - Soc Nuclear Med
Voxel-based principal-component analysis allows for an identification of patterns of glucose
metabolism and amyloid deposition related to the conversion from mild cognitive impairment …
metabolism and amyloid deposition related to the conversion from mild cognitive impairment …