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Dataset Information

Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.


ABSTRACT:

Purpose

To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for functional improvement.

Methods

Patients with RP (n = 20) and LCA due to CEP290 (n = 12) or NPHP5 (n = 6) mutations were studied. A patient with CEP290 mutations but mild retinal degeneration was included. RP patients had cone-mediated macular function. A machine learning technique was used to associate perimetric sensitivities to local structure in RP patients. Models trained on RP data were applied to predict visual function in LCA.

Results

The RP and LCA patients had comparable retinal structure. RP patients had peak sensitiv

SUBMITTER: Sumaroka A 

PROVIDER: S-EPMC6586080 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature