Susac syndrome, a rare but probably underdiagnosed combination of encephalopathy, hearing loss, and visual deficits due to branch retinal artery occlusion of unknown aetiology has to be considered as differential diagnosis in various conditions. Particularly, differentiation from multiple sclerosis is often challenging since both clinical presentation and diagnostic findings may overlap. Optical coherence tomography is a powerful and easy to perform diagnostic tool to analyse the morphological integrity of retinal structures and is increasingly established to depict characteristic patterns of retinal pathology in multiple sclerosis. Against this background we hypothesised that differential patterns of retinal pathology facilitate a reliable differentiation between Susac syndrome and multiple sclerosis. In this multicenter cross-sectional observational study optical coherence tomography was performed in nine patients with a definite diagnosis of Susac syndrome. Data were compared with age-, sex-, and disease duration-matched relapsing remitting multiple sclerosis patients with and without a history of optic neuritis, and with healthy controls. Using generalised estimating equation models, Susac patients showed a significant reduction in either or both retinal nerve fibre layer thickness and total macular volume in comparison to both healthy controls and relapsing remitting multiple sclerosis patients. However, in contrast to the multiple sclerosis patients this reduction was not distributed over the entire scanning area but showed a distinct sectorial loss especially in the macular measurements. We therefore conclude that patients with Susac syndrome show distinct abnormalities in optical coherence tomography in comparison to multiple sclerosis patients. These findings recommend optical coherence tomography as a promising tool for differentiating Susac syndrome from MS.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372471PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0038741PLOS

Publication Analysis

Top Keywords

multiple sclerosis
28
susac syndrome
24
optical coherence
16
coherence tomography
16
sclerosis patients
16
patterns retinal
12
differential diagnosis
8
diagnosis susac
8
retinal pathology
8
relapsing remitting
8

Similar Publications

Disease-Specific Speech Movement Characteristics of the Tongue and Jaw.

J Speech Lang Hear Res

January 2025

Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN.

Purpose: To advance our understanding of disease-specific articulatory impairment patterns in speakers with dysarthria, this study investigated the articulatory performance of the tongue and jaw in speakers with differing neurological diseases (Parkinson's disease [PD], amyotrophic lateral sclerosis, multiple sclerosis, and Huntington's disease).

Method: Fifty-seven speakers with dysarthria and 30 controls produced the sentence "Buy Kaia a kite" five times. A three-dimensional electromagnetic articulography was used to record the articulatory movements of the posterior tongue and jaw.

View Article and Find Full Text PDF

The value of magnetic resonance imaging of the optic nerve for the diagnosis of multiple sclerosis in patients with optic neuritis.

J Neurol

January 2025

Department of Neurology, Clinic of Optic Neuritis and Danish Multiple Sclerosis Center, Rigshospitalet-Glostrup, Valdemar Hansens Vej 13, 2600, Glostrup, Denmark.

Background: Although optic neuritis (ON) is common in multiple sclerosis (MS), lesions of the optic nerve are not included as an anatomical substrate for dissemination in space and time (DIS and DIT).

Objective: To assess the increase in sensitivity of including MRI lesions of the optic nerve for the diagnosis of MS in patients with ON.

Methods: We included patients consecutively referred with first time, monosymptomatic ON, with no known cause of the ON, who underwent orbital MRI including fat suppressed T2 and T1-sequences with and without gadolinium contrast.

View Article and Find Full Text PDF

Background: The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI).

Methods: Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression.

View Article and Find Full Text PDF

Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysis.

J Neurol

January 2025

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK.

Cognitive impairment (CI) in multiple sclerosis (MS) is only partially explained by whole-brain volume measures, but independent component analysis (ICA) can extract regional patterns of damage in grey matter (GM) or white matter (WM) that have proven more closely associated with CI. Pathology in GM and WM occurs in parallel, and so patterns can span both. This study assessed whether joint-ICA of GM and WM features better explained cognitive function compared to single-tissue ICA.

View Article and Find Full Text PDF

Background: Longitudinal qualitative data on what matters to people with Parkinson's disease are lacking and needed to guide patient-centered clinical care and development of outcome measures.

Objective: To evaluate change over time in symptoms, impacts, and relevance of digital measures to monitor disease progression in early Parkinson's.

Methods: In-depth, online symptom mapping interviews were conducted with 33 people with early Parkinson's at baseline and 1 year later to evaluate (A) symptoms, (B) impacts, and (C) relevance of digital measures to monitor personally relevant symptoms.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!