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Neurology: The role of OCT criteria and machine learning in the diagnosis of multiple sclerosis and optic neuritis

 Last Update: 2022-10-09
 Source: Internet
 Author: User

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Recent studies have shown that interocular differences (IEDs) in peripapillary nerve fiber layer (pRNFL) or intraganglion cell plexiform (gCIPL) thickness by spectral domain optical coherence tomography (SD-OCT) can identify patients with unilateral optic nerve People with a history of inflammation (ON)

Participants were drawn from 11 sites of the International Multiple Sclerosis Visual System (IMSVISUAL) Consortium

A composite score combining visual structure and function improved the ability of SD-OCT to discriminate between PwMS and controls

This study provides a third type of evidence that SD-OCT can accurately differentiate between multiple sclerosis and normal controls compared to clinical criteria

Source:

Kenney RC, Liu M, Hasanaj L, et al.

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