Optical coherence tomography angiography biomarkers in multiple sclerosis and neuromyelitis optica spectrum disorders: a systematic review.

BACKGROUND

Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are autoimmune disorders of the central nervous system with overlapping clinical manifestations but distinct treatments and prognoses. Imaging markers are necessary to differentiate between these disorders, especially when serologic testing is unavailable or unclear. Optical coherence tomography angiography (OCT-A) serves as a non-invasive imaging tool that assesses retinal microvascular alterations, potentially as a modality for differentiating MS and NMOSD. This review aimed to assess and consolidate evidence on retinal vascular alterations, measured by OCT-A, in people with MS (PwMS) and people with NMOSD (PwNMOSD) to help discriminate between these disorders.

METHODS

PubMed/MEDLINE, Web of Science, Scopus, and Embase were systematically searched up to August 27, 2024, to identify original English studies that compared OCT-A parameters between PwMS and PwNMOSD. The risk of bias across studies was evaluated utilizing the Newcastle-Ottawa Scale (NOS). Findings were consolidated using a narrative synthesis method.

RESULTS

Nine studies involving 181 PwMS and 166 PwNMOSD were included. Compared to PwMS, PwNMOSD exhibited significantly lower vessel densities in the peripapillary and macular regions, reduced radial peripapillary capillary (RPC) density, and smaller foveal avascular zone (FAZ) areas, particularly in optic neuritis (ON)-affected eyes. Minimal differences were observed in eyes without ON, suggesting that ON may be crucial when utilizing OCT-A biomarkers for disease discrimination.

CONCLUSION

OCT-A metrics demonstrate potential as biomarkers that may help distinguish MS and NMOSD, with PwNMOSD showing more severe retinal vascular alterations. These preliminary findings highlight that OCT-A may hold promise as a diagnostic tool for differentiating MS and NMOSD. Further studies are needed to validate these findings.