Multimodal Imaging in Diabetic Macular Edema.

Area of Science:

• Ophthalmology
• Medical Imaging
• Biomedical Engineering

Background:

• Technological advancements have historically driven progress in ophthalmic care.
• Fluorescein angiography and fundus photography were traditional imaging methods for diabetic macular edema (DME).
• Spectral domain optical coherence tomography (SD-OCT) is now the standard for DME management, despite limitations in correlating thickness with outcomes.

Purpose of the Study:

• To review current and emerging imaging modalities for diabetic macular edema (DME).
• To highlight the role of SD-OCT and its associated biomarkers in DME.
• To explore the potential of machine learning in developing treatment algorithms for DME.

Main Methods:

• Review of current literature on ophthalmic imaging techniques for DME.
• Analysis of established and emerging biomarkers assessed via SD-OCT.
• Discussion of advanced imaging technologies like OCT angiography and adaptive optics.

Main Results:

• SD-OCT is the primary imaging modality for DME, with various biomarkers investigated (e.g., epiretinal membrane, subretinal fluid).
• Emerging technologies offer new avenues for understanding DME pathology.
• Reliable biomarkers for DME management are still under investigation.

Conclusions:

• Technological progress in imaging significantly aids in understanding disease mechanisms and treatment response in DME.
• While SD-OCT is prevalent, the identification of definitive biomarkers remains a challenge.
• Machine learning holds promise for creating personalized treatment strategies based on multimodal imaging data in DME.