Detection of β-amyloid positivity in Alzheimer's Disease Neuroimaging Initiative participants with demographics, cognition, MRI and plasma biomarkers

D Tosun, D Veitch, P Aisen, CR Jack Jr… - Brain …, 2021 - academic.oup.com
In vivo gold standard for the ante-mortem assessment of brain β-amyloid pathology is
currently β-amyloid positron emission tomography or cerebrospinal fluid measures of β …

The search for a convenient procedure to detect one of the earliest signs of Alzheimer's disease: a systematic review of the prediction of brain amyloid status

MT Ashford, DP Veitch, J Neuhaus… - Alzheimer's & …, 2021 - Wiley Online Library
Introduction Convenient, cost‐effective tests for amyloid beta (Aβ) are needed to identify
those at higher risk for developing Alzheimer's disease (AD). This systematic review …

[HTML][HTML] Consensus on rapid screening for prodromal Alzheimer's disease in China

L Huang, Q Li, Y Lu, F Pan, L Cui, Y Wang… - General …, 2024 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) is a common cause of dementia, characterised by cerebral
amyloid-β deposition, pathological tau and neurodegeneration. The prodromal stage of AD …

MRI-Based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum

CO Lew, L Zhou, MA Mazurowski, PM Doraiswamy… - Radiology, 2023 - pubs.rsna.org
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in
Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI …

Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[18F]FDG PET

S Kim, P Lee, KT Oh, MS Byun, D Yi, JH Lee, YK Kim… - EJNMMI research, 2021 - Springer
Background Considering the limited accessibility of amyloid position emission tomography
(PET) in patients with dementia, we proposed a deep learning (DL)-based amyloid PET …

[HTML][HTML] Real-world prediction of preclinical Alzheimer's disease with a deep generative model

U Hwang, SW Kim, D Jung, SW Kim, H Lee… - Artificial Intelligence in …, 2023 - Elsevier
Amyloid positivity is an early indicator of Alzheimer's disease and is necessary to determine
the disease. In this study, a deep generative model is utilized to predict the amyloid positivity …

Multivariate functional mixed model with MRI data: An application to Alzheimer's disease

H Zou, L Xiao, D Zeng, S Luo… - Statistics in …, 2023 - Wiley Online Library
Alzheimer's Disease (AD) is the leading cause of dementia and impairment in various
domains. Recent AD studies,(ie, Alzheimer's Disease Neuroimaging Initiative (ADNI) study) …

[HTML][HTML] Retrospective analysis of Braak stage–and APOE4 allele–dependent associations between MR spectroscopy and markers of tau and neurodegeneration in …

AM Chen, M Gajdošík, W Ahmed, S Ahn, JS Babb… - NeuroImage, 2024 - Elsevier
Purpose The pathological hallmarks of Alzheimer's disease (AD), amyloid, tau, and
associated neurodegeneration, are present in the cortical gray matter (GM) years before …

Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer's disease, mild cognitive impairment, and healthy aging, from T1-weighted …

T Chattopadhyay, SS Ozarkar, K Buwa… - Frontiers in …, 2024 - frontiersin.org
Abnormal β-amyloid (Aβ) accumulation in the brain is an early indicator of Alzheimer's
disease (AD) and is typically assessed through invasive procedures such as PET (positron …

The infratentorial localization of brain metastases may correlate with specific clinical characteristics and portend worse outcomes based on voxel-wise mapping

Z Dou, J Wu, H Wu, Q Yu, F Yan, B Jiang, B Li, J Xu… - Cancers, 2021 - mdpi.com
Simple Summary Brain metastases (BMs) are cancerous lesions that originated from
cancers outside the brain. Specific types of BMs are found distributing in specific brain …