Optical coherence tomography as retinal imaging biomarker of neuroinflammation/neurodegeneration in systemic disorders in adults and children

S Vujosevic, MM Parra, ME Hartnett, L O'Toole, A Nuzzi… - Eye, 2023 - nature.com
The retina and the optic nerve are considered extensions of the central nervous system
(CNS) and thus can serve as the window for evaluation of CNS disorders. Spectral domain …

Retinal α-synuclein deposits in Parkinson's disease patients and animal models

L Veys, M Vandenabeele, I Ortuno-Lizaran… - Acta …, 2019 - Springer
Despite decades of research, accurate diagnosis of Parkinson's disease remains a
challenge, and disease-modifying treatments are still lacking. Research into the early …

[HTML][HTML] Machine learning in diagnosis and disability prediction of multiple sclerosis using optical coherence tomography

A Montolío, A Martín-Gallego, J Cegoñino… - Computers in Biology …, 2021 - Elsevier
Background Multiple sclerosis (MS) is a neurodegenerative disease that affects the central
nervous system, especially the brain, spinal cord, and optic nerve. Diagnosis of this disease …

Neurodegeneration in multiple sclerosis: Symptoms of silent progression, biomarkers and neuroprotective therapy—Kynurenines are important players

D Sandi, Z Fricska-Nagy, K Bencsik, L Vécsei - Molecules, 2021 - mdpi.com
Neurodegeneration is one of the driving forces behind the pathogenesis of multiple sclerosis
(MS). Progression without activity, pathopsychological disturbances (cognitive impairment …

Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques

A Perez del Palomar, J Cegonino, A Montolio… - PloS one, 2019 - journals.plos.org
Objective To compare axonal loss in ganglion cells detected with swept-source optical
coherence tomography (SS-OCT) in eyes of patients with multiple sclerosis (MS) versus …

Early diagnosis of multiple sclerosis by OCT analysis using Cohen's d method and a neural network as classifier

E Garcia-Martin, M Ortiz, L Boquete… - Computers in Biology …, 2021 - Elsevier
Background The consequences of inflammation, demyelination, axonal degeneration and
neuronal loss in the central nervous system, typical of the development of multiple sclerosis …

Computer-aided diagnosis of multiple sclerosis using a support vector machine and optical coherence tomography features

C Cavaliere, E Vilades, MC Alonso-Rodríguez… - Sensors, 2019 - mdpi.com
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS)
using optical coherence tomography (OCT) data and a support vector machine (SVM) as an …

Macular ganglion cell–inner plexiform layer thinning as a biomarker of disability progression in relapsing multiple sclerosis

G Bsteh, K Berek, H Hegen, P Altmann… - Multiple Sclerosis …, 2021 - journals.sagepub.com
Background: Macular ganglion cell–inner plexiform layer (mGCIPL) is an emerging
biomarker of neuroaxonal degeneration in multiple sclerosis (MS). Objective: We aimed to …

Early diagnosis of multiple sclerosis using swept-source optical coherence tomography and convolutional neural networks trained with data augmentation

A López-Dorado, M Ortiz, M Satue, MJ Rodrigo… - Sensors, 2021 - mdpi.com
Background: The aim of this paper is to implement a system to facilitate the diagnosis of
multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network …

Recent progress in the identification of early transition biomarkers from relapsing-remitting to progressive multiple sclerosis

S Maier, L Barcutean, S Andone, D Manu… - International Journal of …, 2023 - mdpi.com
Despite extensive research into the pathophysiology of multiple sclerosis (MS) and recent
developments in potent disease-modifying therapies (DMTs), two-thirds of relapsing …