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Published on: April 14, 2014
RNFL thickness in MS-associated acute optic neuritis using SD-OCT: critical interpretation and limitations
Nermin Serbecic1, Sven C Beutelspacher, Wolfgang Geitzenauer
1Medical University of Vienna, Department of Ophthalmology, Vienna, Austria. nermin.serbecic@meduniwien.ac.at
Acta Ophthalmologica
|March 16, 2011
Summary
Spectral-domain optical coherence tomography (SD-OCT) can detect subtle, unregistered optic nerve damage in multiple sclerosis (MS) patients. Comparing retinal nerve fibre layer thickness (RNFLT) with the fellow eye and controls aids in identifying axonal loss.
Area of Science:
- Ophthalmology
- Neurology
- Medical Imaging
Background:
- Axonal loss is a critical prognostic indicator in multiple sclerosis (MS).
- Retinal nerve fibre layer thickness (RNFLT) is a key measure for monitoring MS progression.
- Spectral-domain optical coherence tomography (SD-OCT) is an advanced imaging technique.
Purpose of the Study:
- To investigate if high-resolution SD-OCT measurements of RNFLT differ between optic nerve injury from acute optic neuritis (ON) and subclinical axonal damage in MS patients.
- To assess the capability of SD-OCT in detecting unregistered axonal damage in MS.
Main Methods:
- High-resolution SD-OCT measurements of RNFLT were performed in 25 MS patients and 25 healthy controls during the acute phase of ON and 3 months later.
- RNFLT was measured in peripapillary sectors (PPs).
- A measurement model comparing MS patients to their fellow eye and age/sex-matched controls was utilized.
Main Results:
- Conventional OCT analysis identified swelling but missed some RNFLT decreases.
- RNFLT symmetry comparison revealed previously unregistered axonal damage.
- A segmental RNFL loss was detected in 72% of first-episode ON eyes at baseline, increasing over time.
- A global RNFL loss was registered in 36.4% of eyes.
Conclusions:
- SD-OCT imaging with optimized scan centring can detect subtle, unregistered optic nerve injury in MS.
- Comparing OCT metrics with the fellow eye and controls is crucial for identifying RNFLT discrepancies and prior ON.
- This technology holds potential for improved diagnosis and monitoring of MS.

