[HTML][HTML] Multiparametric microstructural MRI and machine learning classification yields high diagnostic accuracy in amyotrophic lateral sclerosis: proof of concept

TD Kocar, A Behler, AC Ludolph, HP Müller… - Frontiers in …, 2021 - frontiersin.org
The potential of multiparametric quantitative neuroimaging has been extensively discussed
as a diagnostic tool in amyotrophic lateral sclerosis (ALS). In the past, the integration of …

[HTML][HTML] The two-year progression of structural and functional cerebral MRI in amyotrophic lateral sclerosis

RAL Menke, M Proudfoot, K Talbot, MR Turner - NeuroImage: Clinical, 2018 - Elsevier
MRI has emerged as one of several urgently needed candidate disease progression
biomarkers for the neurodegenerative disorder amyotrophic lateral sclerosis (ALS), not least …

Diffusion tensor imaging in amyotrophic lateral sclerosis: machine learning for biomarker development

A Behler, HP Müller, AC Ludolph… - International journal of …, 2023 - mdpi.com
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter
alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis …

Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis

RAL Menke, S Körner, N Filippini, G Douaud, S Knight… - Brain, 2014 - academic.oup.com
Diagnosis, stratification and monitoring of disease progression in amyotrophic lateral
sclerosis currently rely on clinical history and examination. The phenotypic heterogeneity of …

Quantitative brain MRI metrics distinguish four different ALS phenotypes: a machine learning based study

V Rajagopalan, KG Chaitanya, EP Pioro - Diagnostics, 2023 - mdpi.com
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease whose diagnosis
depends on the presence of combined lower motor neuron (LMN) and upper motor neuron …

Texture analysis to detect cerebral degeneration in amyotrophic lateral sclerosis

A Ishaque, R Maani, J Satkunam, P Seres… - Canadian Journal of …, 2018 - cambridge.org
BackgroundEvidence of cerebral degeneration is not apparent on routine brain MRI in
amyotrophic lateral sclerosis (ALS). Texture analysis can detect change in images based on …

Feature selection from magnetic resonance imaging data in ALS: a systematic review

TD Kocar, HP Müller, AC Ludolph… - … advances in chronic …, 2021 - journals.sagepub.com
Background: With the advances in neuroimaging in amyotrophic lateral sclerosis (ALS), it
has been speculated that multiparametric magnetic resonance imaging (MRI) is capable to …

Development of an automated MRI-based diagnostic protocol for amyotrophic lateral sclerosis using disease-specific pathognomonic features: a quantitative disease …

C Schuster, O Hardiman, P Bede - PLoS One, 2016 - journals.plos.org
Background Despite significant advances in quantitative neuroimaging, the diagnosis of
ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis …

Advanced neuroimaging approaches in amyotrophic lateral sclerosis: refining the clinical diagnosis

J Kassubek, HP Müller - Expert review of neurotherapeutics, 2020 - Taylor & Francis
Introduction: In the last decade, multiparametric magnetic resonance imaging (MRI) has
achieved tremendous advances in applications to amyotrophic lateral sclerosis (ALS) to …

Clinical profiles and patterns of neurodegeneration in amyotrophic lateral sclerosis: a cluster-based approach based on MR imaging metrics

G Milella, A Introna, DM Mezzapesa… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The previous studies described phenotype-associated
imaging findings in amyotrophic lateral sclerosis (ALS) with a prior categorization of patients …