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Galzignato Alice

3 articles in GJC

3 articles in GJC

2.

Machine Learning Applied to Visual Fields of Dominant Optic Atrophy Patients.

Coutinho Catarina P, Zanchetta Ferdinando, Carbonelli Michele, Battista Marco, Galzignato Alice, La Morgia Chiara et al.

Transl Vis Sci TechnolJun 20250 citationsRetrospective Studies

Machine learning identified characteristic visual field patterns in dominant optic atrophy, showing central/ceco-central defects are common. This tool can objectively quantify disease progression and link genotype to functional severity.

3.

Sectorial Ganglion Cell Complex Thickness as Biomarker of Vision Outcome in Patients With Dominant Optic Atrophy.

Battista Marco, Coutinho Catarina P, Berni Alessandro, Borrelli Enrico, Galzignato Alice, Lari Giorgio et al.

Invest Ophthalmol Vis SciJan 20245 citationsObservational Study

This study found that specific macular ganglion cell layer sectors, especially the internal superior, strongly predict visual acuity in dominant optic atrophy, serving as progression biomarkers.

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