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

J Kassubek, HP Müller - Expert review of neurotherapeutics, 2020 - Taylor & Francis
… tensor tractography that demonstrated a correlation of virtual CST fiber truncation with shorter
… As a potential solution to an MRI-based diagnostic classification algorithm that has to await …

Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features

P Bede, A Murad, O Hardiman - Journal of neurology, 2021 - Springer
… The classification of cases … ) classification protocol to categorise multiparametric imaging
data of a large cohort of subjects consisting of patients with amyotrophic lateral sclerosis (ALS), …

[HTML][HTML] Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis

B Tafuri, G Milella, M Filardi, A Giugno… - Expert Systems with …, 2024 - Elsevier
… Timely differential diagnosis of Amyotrophic Lateral Sclerosis is of utmost importance. …
Timely diagnosis and accurate phenotyping of amyotrophic lateral sclerosis (ALS) is of paramount …

Detection of pTDP‐43 via routine muscle biopsy: A promising diagnostic biomarker for amyotrophic lateral sclerosis

QJ Zhang, J Lin, YL Wang, L Chen, Y Ding… - Brain …, 2024 - Wiley Online Library
… , based on the strengths of genetic and pathological diagnosis, aims to provide compelling
evidence for the diagnostic value of pTDP-43 aggregates in biopsied muscle tissue for ALS. …

[HTML][HTML] Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis

RH Chipika, F Christidi, E Finegan, SLH Shing… - Journal of the …, 2020 - Elsevier
… Development of an automated MRI-based diagnostic protocol for amyotrophic lateral
sclerosis using disease-specific pathognomonic features: a quantitative disease-state …

[HTML][HTML] Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions

V Grollemund, PF Pradat, G Querin, F Delbot… - Frontiers in …, 2019 - frontiersin.org
… Background: Amyotrophic Lateral Sclerosis (ALS) is a … RF diagnosis is computed based
on the majority vote of each … had ALS, the final diagnosis suggested by the model is ALS. …

A susceptibility-weighted imaging qualitative score of the motor cortex may be a useful tool for distinguishing clinical phenotypes in amyotrophic lateral sclerosis

G Conte, S Sbaraini, C Morelli, S Casale… - European …, 2021 - Springer
… by electromyography and muscle biopsy, and transcranial … is to build a diagnostic algorithm
for ALS based on the clinical … The original online version of this article was revised: The …

Gastrointestinal biopsies and amyotrophic lateral sclerosis–results from a cohort study of 1.1 million individuals

J Sun, JF Ludvigsson, B Roelstraete… - Amyotrophic lateral …, 2021 - Taylor & Francis
… altered risk of amyotrophic lateral sclerosis (ALS) remains unknown. Methods: Based on a
… in Stockholm, we found a > 90% positive predictive value for the diagnosis of ALS based on …

Identification of a potential non-coding RNA biomarker signature for amyotrophic lateral sclerosis

G Joilin, E Gray, AG Thompson, Y Bobeva… - Brain …, 2020 - academic.oup.com
Using the expression of these non-coding RNA, we were able to discriminate amyotrophic
lateral sclerosis samples from healthy controls in our discovery cohort using a random forest …

[HTML][HTML] Progressive brainstem pathology in motor neuron diseases: imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis

P Bede, RH Chipika, E Finegan, SLH Shing, KM Chang… - Data in brief, 2020 - Elsevier
… Participating ALS patients were diagnosed according to the El Escorial research criteria, …
patients with amyotrophic lateral sclerosis (ALS), 33 patients with primary lateral sclerosis (PLS)…