Related Experiment Video
Updated: Oct 19, 2025

Human Serum Anti-aquaporin-4 Immunoglobulin G Detection by Cell-based Assay
Published on: April 5, 2019
MRI Patterns Distinguish AQP4 Antibody Positive Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis
Laura Clarke1, Simon Arnett1, Wajih Bukhari1
1Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia.
Abstract:
Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are inflammatory diseases of the CNS. Overlap in the clinical and MRI features of NMOSD and MS means that distinguishing these conditions can be difficult. With the aim of evaluating the diagnostic utility of MRI features in distinguishing NMOSD from MS, we have conducted a cross-sectional analysis of imaging data and developed predictive models to distinguish the two conditions. NMOSD and MS MRI lesions were identified and defined through a literature search. Aquaporin-4 (AQP4) antibody positive NMOSD cases and age- and sex-matched MS cases were collected. MRI of orbits, brain and spine were reported by at least two blinded reviewers. MRI brain or spine was available for 166/168 (99%) of cases. Longitudinally extensive (OR = 203), "bright spotty" (OR = 93.8), whole (axial; OR = 57.8) or gadolinium (Gd) enhancing (OR = 28.6) spinal cord lesions, bilateral (OR = 31.3) or Gd-enhancing (OR = 15.4) optic nerve lesions, and nucleus tractus solitarius (OR = 19.2), periaqueductal (OR = 16.8) or hypothalamic (OR = 7.2) brain lesions were associated with NMOSD. Ovoid (OR = 0.029), Dawson's fingers (OR = 0.031), pyramidal corpus callosum (OR = 0.058), periventricular (OR = 0.136), temporal lobe (OR = 0.137) and T1 black holes (OR = 0.154) brain lesions were associated with MS. A score-based algorithm and a decision tree determined by machine learning accurately predicted more than 85% of both diagnoses using first available imaging alone. We have confirmed NMOSD and MS specific MRI features and combined these in predictive models that can accurately identify more than 85% of cases as either AQP4 seropositive NMOSD or MS.
Insights
Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are CNS inflammatory diseases. Specific MRI features can help distinguish NMOSD from MS, with machine learning models achieving over 85% accuracy.
Area of Science:
- Neuroimmunology
- Radiology
- Medical Imaging
Background:
- Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are inflammatory central nervous system (CNS) diseases.
- Distinguishing between NMOSD and MS can be challenging due to overlapping clinical and MRI features.
Purpose of the Study:
- To evaluate the diagnostic utility of MRI features in differentiating NMOSD from MS.
- To develop predictive models for accurate diagnosis of NMOSD and MS using MRI.
Main Methods:
- Cross-sectional analysis of MRI data from aquaporin-4 (AQP4) antibody-positive NMOSD cases and age/sex-matched MS cases.
- Identification and definition of NMOSD and MS MRI lesions through literature review.
- Machine learning algorithms used to develop predictive models based on identified MRI features.
Main Results:
- Specific MRI lesion characteristics were associated with either NMOSD or MS.
- NMOSD-associated lesions include: longitudinally extensive, "bright spotty", whole (axial), and gadolinium-enhancing spinal cord lesions; bilateral and gadolinium-enhancing optic nerve lesions; and nucleus tractus solitarius, periaqueductal, or hypothalamic brain lesions.
- MS-associated lesions include: ovoid, Dawson's fingers, pyramidal corpus callosum, periventricular, temporal lobe, and T1 black hole brain lesions.
- Machine learning models accurately predicted over 85% of diagnoses using initial imaging.
Conclusions:
- Distinct MRI features reliably differentiate NMOSD and MS.
- Predictive models incorporating these MRI features can accurately diagnose over 85% of NMOSD and MS cases.
- These findings enhance diagnostic capabilities for these debilitating CNS inflammatory diseases.
More Related Videos
09:29Induction of Paralysis and Visual System Injury in Mice by T Cells Specific for Neuromyelitis Optica Autoantigen Aquaporin-4
Published on: August 21, 2017
10:19High-throughput Flow Cytometry Cell-based Assay to Detect Antibodies to N-Methyl-D-aspartate Receptor or Dopamine-2 Receptor in Human Serum
Published on: November 23, 2013
Related Concept Videos
Myasthenia Gravis: Diagnostic Tests
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
Magnetic Resonance Imaging