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Interpretation of the Visual Field in Neuro-ophthalmic Disorders
Ana Banc1, Sachin Kedar2,3
1Department of Ophthalmology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Current Neurology and Neuroscience Reports
|January 30, 2024
Summary
Visual field testing in neuro-ophthalmology is crucial for diagnosing and monitoring conditions affecting vision. Advances include AI and virtual reality perimetry, improving detection of visual field deficits and patient care.
Area of Science:
- Neuro-ophthalmology
- Visual field testing
- Perimetry
Background:
- Visual field deficits significantly impact daily activities and quality of life.
- Assessment of the afferent visual pathway is essential for neuro-ophthalmic disorders.
- Quantitative visual field analysis is critical for diagnosis, monitoring, and treatment planning.
Purpose of the Study:
- Describe current visual field testing methods in neuro-ophthalmology.
- Establish accurate terminology for visual field deficits.
- Discuss advancements like AR/VR perimetry and AI in interpretation.
Main Methods:
- Review of current visual field testing strategies.
- Development of standardized terminology for field defects.
- Exploration of novel technologies such as augmented/virtual reality perimetry.
- Application of artificial intelligence in visual field interpretation.
Main Results:
- New static automated perimetry strategies enhance sensitivity and reduce testing time.
- Machine learning tools are being developed for quantitative analysis of visual field abnormalities.
- Integrating optical coherence tomography with standard automated perimetry improves structure-function correlation.
- Visual field testing guides occupational low vision rehabilitation.
Conclusions:
- Visual field testing is indispensable in neuro-ophthalmic practice.
- Emerging technologies like AI and VR perimetry offer improved diagnostic capabilities.
- Accurate visual field assessment is vital for patient management and quality of life.
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