Retinal Thickness Analysis Using Optical Coherence Tomography: Diagnostic and Monitoring Applications in Retinal...

Area of Science:

• Ophthalmology
• Medical Imaging
• Biomedical Engineering

Background:

• Optical coherence tomography (OCT) provides high-resolution quantitative data for retinal disease management.
• Retinal thickness analysis is vital for diagnosis, monitoring, and treatment planning in various retinal conditions.

Purpose of the Study:

• To explore the applications of retinal thickness analysis in major retinal diseases.
• To highlight emerging roles in neurodegenerative diseases and retinal drug toxicity.
• To discuss the impact of AI and machine learning on improving accuracy and efficiency.

Main Methods:

• Review of current literature on retinal thickness analysis using OCT.
• Analysis of applications across conditions like AMD, diabetic retinopathy, RVO, and inherited retinal diseases.
• Examination of AI/ML advancements and telemedicine integration.

Main Results:

• Retinal thickness analysis demonstrates utility in diagnosing and monitoring diverse retinal diseases.
• AI and machine learning significantly enhance measurement accuracy and efficiency.
• Integration with telemedicine facilitates personalized care and early disease detection.

Conclusions:

• Retinal thickness analysis is a pivotal tool in clinical ophthalmology and research.
• Its role is expanding to include early detection of systemic diseases.
• Continued advancements promise improved patient outcomes and broader medical applications.