Optical coherence tomography and visual function measures detect multiple sclerosis and a history of optic neuritis

Takeaway

  • Compared to clinical criteria, spectral-domain optical coherence tomography accurately differentiates multiple sclerosis from healthy controls.

Why this matters?

  • It has been suggested that inter-eye differences in peripapillary retinal nerve fiber layer or ganglion cell+inner plexiform thickness assessed using spectral-domain optical coherence tomography can identify individuals with a history of unilateral optic neuritis.

  • The current study explored the applicability of machine learning classification for validation thresholds for optical coherence tomography inter-eye differences and showed that these models could help to diagnose people with multiple sclerosis and unilateral optic neuritis.