Phenotypic categorisation of individual subjects with motor neuron disease based on radiological disease burden patterns: a machine-learning approach
Motor neuron disease is an umbrella term encompassing a multitude of clinically
heterogeneous phenotypes. The early and accurate categorisation of patients is hugely …
heterogeneous phenotypes. The early and accurate categorisation of patients is hugely …
[HTML][HTML] Machine‐learning in motor neuron diseases: Prospects and pitfalls
P Bede, KM Chang, EL Tan - European Journal of Neurology, 2022 - ncbi.nlm.nih.gov
Although machine-learning (ML) approaches have been extensively utilized in
neurodegenerative conditions, they can be challenging to implement in motor neuron …
neurodegenerative conditions, they can be challenging to implement in motor neuron …
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
Objectives To stratify patients with multiple sclerosis (pwMS) based on brain MRI-derived
volumetric features using unsupervised machine learning. Methods The 3-T brain MRIs of …
volumetric features using unsupervised machine learning. Methods The 3-T brain MRIs of …
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 …
sclerosis currently rely on clinical history and examination. The phenotypic heterogeneity of …
[HTML][HTML] Multimodal structural MRI in the diagnosis of motor neuron diseases
This prospective study developed an MRI-based method for identification of individual motor
neuron disease (MND) patients and test its accuracy at the individual patient level in an …
neuron disease (MND) patients and test its accuracy at the individual patient level in an …
Multiparametric microstructural MRI and machine learning classification yields high diagnostic accuracy in amyotrophic lateral sclerosis: proof of concept
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 …
as a diagnostic tool in amyotrophic lateral sclerosis (ALS). In the past, the integration of …
Machine learning classifier to identify clinical and radiological features relevant to disability progression in multiple sclerosis
Objectives To evaluate the accuracy of a data-driven approach, such as machine learning
classification, in predicting disability progression in MS. Methods We analyzed structural …
classification, in predicting disability progression in MS. Methods We analyzed structural …
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 …
ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis …
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 …
depends on the presence of combined lower motor neuron (LMN) and upper motor neuron …
Survival prediction models in motor neuron disease
F Agosta, EG Spinelli, N Riva, A Fontana… - European Journal of …, 2019 - Wiley Online Library
Background and purpose This study aimed to assess the predictive value of multimodal
brain magnetic resonance imaging (MRI) on survival in a large cohort of patients with motor …
brain magnetic resonance imaging (MRI) on survival in a large cohort of patients with motor …