[HTML][HTML] Quantification of amyloid PET for future clinical use: a state-of-the-art review

HG Pemberton, LE Collij, F Heeman, A Bollack… - European journal of …, 2022 - Springer
Amyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's
disease (AD) pathogenesis. The overall load and spatial distribution of brain Aβ can be …

[HTML][HTML] Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review

HG Pemberton, LAM Zaki, O Goodkin, RK Das… - Neuroradiology, 2021 - Springer
Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …

Machine learning, artificial intelligence and the prediction of dementia

A Merkin, R Krishnamurthi… - Current opinion in …, 2022 - journals.lww.com
Application of machine learning technologies in detection and prediction of dementia may
provide an advantage to psychiatry and neurology by promoting a better understanding of …

AlexNet approach for early stage Alzheimer's disease detection from MRI brain images

LS Kumar, S Hariharasitaraman… - Materials Today …, 2022 - Elsevier
Alzheimer's is a neurodegenerative disorder that affects the brain and cognitive function.
Early finding of Alzheimer's disorder of the beginning stages it means Mild Cognitive …

Recent advances in the longitudinal segmentation of multiple sclerosis lesions on magnetic resonance imaging: a review

M Diaz-Hurtado, E Martínez-Heras, E Solana… - Neuroradiology, 2022 - Springer
Multiple sclerosis (MS) is a chronic autoimmune disease characterized by demyelinating
lesions that are often visible on magnetic resonance imaging (MRI). Segmentation of these …

[HTML][HTML] Inter-and intra-scanner variability of automated brain volumetry on three magnetic resonance imaging systems in Alzheimer's disease and controls

MMJ Wittens, GJ Allemeersch, DM Sima… - Frontiers in Aging …, 2021 - frontiersin.org
Magnetic Resonance Imaging (MRI) has become part of the clinical routine for diagnosing
neurodegenerative disorders. Since acquisitions are performed at multiple centers using …

A diagnostic index based on quantitative susceptibility mapping and voxel-based morphometry may improve early diagnosis of Alzheimer's disease

R Sato, K Kudo, N Udo, M Matsushima, I Yabe… - European …, 2022 - Springer
Objectives Voxel-based morphometry (VBM) is widely used to quantify the progression of
Alzheimer's disease (AD), but improvement is still needed for accurate early diagnosis. We …

Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models

P Coupé, JV Manjón, B Mansencal… - Human Brain …, 2022 - Wiley Online Library
In this article, we present an innovative MRI‐based method for Alzheimer disease (AD)
detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain …

The changing landscape of neuroimaging in frontotemporal lobar degeneration: From group-level observations to single-subject data interpretation

MC McKenna, A Murad, W Huynh, J Lope… - Expert review of …, 2022 - Taylor & Francis
Introduction While the imaging signatures of frontotemporal lobar degeneration (FTLD)
phenotypes and genotypes are well-characterized based on group-level descriptive …

[HTML][HTML] The role of magnetic resonance imaging in the diagnosis and prognosis of dementia

M Živanović, AA Trenkić, V Milošević… - Biomolecules and …, 2023 - ncbi.nlm.nih.gov
Dementia is a syndrome characterized by multidomain acquired chronic cognitive
impairment that has a profound impact on daily life. Neurogenerative diseases such as …