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Current Status and Future Perspectives of Optic Nerve Imaging in Glaucoma
Claudia Lommatzsch1,2, Christian van Oterendorp3
1Department of Ophthalmology, St. Franziskus Hospital, Hohenzollernring 74, 48145 Muenster, Germany.
Journal of Clinical Medicine
|April 13, 2024
Summary
Advancements in optical coherence tomography (OCT) improve glaucoma assessment. Artificial intelligence enhances current biomarkers and integrates diverse data for more accurate glaucoma diagnostics.
Area of Science:
- Ophthalmology
- Medical Imaging
- Artificial Intelligence
Background:
- The optic nerve is crucial for glaucoma assessment, with optical coherence tomography (OCT) enabling precise structural quantification.
- Parapapillary retinal nerve fiber thickness is a common OCT biomarker but has limitations, especially in advanced glaucoma.
Purpose of the Study:
- To explore emerging imaging technologies and artificial intelligence (AI) for improved structural glaucoma diagnostics.
- To highlight the potential of novel biomarkers and AI in overcoming limitations of current glaucoma assessment methods.
Main Methods:
- Review of current and emerging imaging technologies like OCT angiography, polarization-sensitive OCT, and adaptive optics.
- Discussion of artificial intelligence applications in analyzing OCT data and integrating multimodal clinical information.
Main Results:
- Novel imaging technologies offer new biomarkers with potential to enhance structural glaucoma diagnostics.
- AI can improve the reliability of existing biomarkers and integrate diverse data for increased diagnostic accuracy.
Conclusions:
- Emerging imaging technologies and AI represent significant advancements for structural glaucoma diagnostics.
- AI offers a more efficient way to extract information from OCT scans, surpassing current biomarker limitations.
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