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Diabetic Retinopathy

Diabetic Retinopathy

DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...

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Related Experiment Video

Updated: Jul 2, 2026

Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration

Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration

Published on: May 26, 2023

Macular telangiectasia masqueraders.

Sakshi Shiromani¹, Priyanka Gandhi², Sashwanthi Mohan³

¹Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA.

Survey of Ophthalmology

|June 30, 2026

Summary

This summary is machine-generated.

Diagnosing Macular telangiectasia Type 2 (MacTel 2) requires recognizing subtle signs and using advanced imaging. Early and accurate diagnosis is crucial for effective management and treatment of this progressive retinal disease.

Keywords:

MacTel 2 Macular telangiectasia diagnostic algorithm masquerades retinal imaging

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Area of Science:

Ophthalmology
Retinal Diseases
Medical Imaging

Background:

Macular telangiectasia Type 2 (MacTel 2) is a bilateral retinal disease with neurodegenerative and telangiectatic changes.
Early MacTel 2 presentation is subtle, often causing diagnostic uncertainty and delayed treatment.

Purpose of the Study:

To propose a practical, algorithm-based framework for diagnosing MacTel 2.
To emphasize key clinical and imaging features for accurate diagnosis and differentiation from similar conditions.

Main Methods:

Review of clinical understanding and advanced imaging modalities for MacTel 2.
Focus on key diagnostic features: parafoveal telangiectatic vessels, pigment plaques, ellipsoid zone loss.
Utilizing multimodal imaging for confident diagnosis and differentiation.

Main Results:

Advanced imaging (OCT, FAF, FFA, OCTA) is essential for MacTel 2 diagnosis.
Multimodal imaging aids in distinguishing MacTel 2 from masquerading disorders.
Identification of key features improves diagnostic confidence.

Conclusions:

Timely recognition of MacTel 2 is critical, especially with new treatment approvals.
An algorithm-based approach aids clinicians in confident, early diagnosis.
Improved diagnostic strategies facilitate appropriate management of MacTel 2.