Combining retinal structural and vascular measurements improves discriminative power for multiple sclerosis patients

Data on how retinal structural and vascular parameters jointly influence the diagnostic performance of detection of multiple sclerosis (MS) patients without optic neuritis (MSNON) are lacking. To investigate the diagnostic performance of structural and vascular changes to detect MSNON from controls,...

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Published in:Annals of the New York Academy of Sciences 2023-11, Vol.1529 (1), p.72-83
Main Authors: Bostan, Mihai, Li, Chi, Sim, Yin Ci, Bujor, Inna, Wong, Damon, Tan, Bingyao, Ismail, Munirah Binte, Garhöfer, Gerhard, Tiu, Cristina, Pirvulescu, Ruxandra, Schmetterer, Leopold, Popa‐Cherecheanu, Alina, Chua, Jacqueline
Format: Article
Language:English
Subjects:
Angiography
Autoimmune diseases
Diagnostic systems
Multiple sclerosis
Nerves
Neuritis
Optic nerve
Optic neuritis
Optical Coherence Tomography
Optics
Parameters
Retina
Thickness
Tomography
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Summary:Data on how retinal structural and vascular parameters jointly influence the diagnostic performance of detection of multiple sclerosis (MS) patients without optic neuritis (MSNON) are lacking. To investigate the diagnostic performance of structural and vascular changes to detect MSNON from controls, we performed a cross‐sectional study of 76 eyes from 51 MS participants and 117 eyes from 71 healthy controls. Retinal macular ganglion cell complex (GCC), retinal nerve fiber layer (RNFL) thicknesses, and capillary densities from the superficial (SCP) and deep capillary plexuses (DCP) were obtained from the Cirrus AngioPlex. The best structural parameter for detecting MS was compensated RNFL from the optic nerve head (AUC = 0.85), followed by GCC from the macula (AUC = 0.79), while the best vascular parameter was the SCP (AUC = 0.66). Combining structural and vascular parameters improved the diagnostic performance for MS detection (AUC = 0.90; p
ISSN:0077-8923
1749-6632
DOI:10.1111/nyas.15060