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Microaneurysm Reflectivity as a Prognostic Biomarker for Intravitreal Treatment Response in Diabetic Retinopathy
Pasquale Viggiano1, Alice Carra1, Gabriele Bruno1
1From the Department of Translational Biomedicine Neuroscience (P.V., A.C., G.B., G. Boscia, M.G.P., A.C.T., G.A., F.B.), University of Bari "Aldo Moro", Bari, Italy.
Diabetic macular edema (DME) patients with hyperreflective microaneurysms on spectral-domain optical coherence tomography (SD-OCT) show better treatment response. Hyporeflective microaneurysms predict poorer outcomes, regardless of treatment type.
Area of Science:
- Ophthalmology
- Medical Imaging
- Diabetic Retinopathy
Background:
- Diabetic macular edema (DME) is a leading cause of vision loss in diabetic patients.
- Spectral-domain optical coherence tomography (SD-OCT) is crucial for diagnosing and monitoring DME.
- Predicting treatment response in DME remains a clinical challenge.
Purpose of the Study:
- To determine if baseline microaneurysm (MA) reflectivity patterns on SD-OCT can predict treatment response in DME patients.
- To investigate the association between MA phenotype and treatment outcomes.
Main Methods:
- A retrospective cohort study analyzed 66 treatment-naive DME patients.
- Microaneurysms were classified by internal reflectivity on SD-OCT into hyperreflective or hyporeflective phenotypes.
- Patients received anti-VEGF therapy or dexamethasone implants for 12 months.
Main Results:
- 59.1% of patients had a hyperreflective MA phenotype, and 40.9% had a hyporeflective phenotype.
- Complete intraretinal fluid resolution occurred in 51.3% of hyperreflective vs. 7.4% of hyporeflective patients (p<0.001).
- MA phenotype was the sole independent predictor of treatment response (OR 13.50, p<0.001).
Conclusions:
- Microaneurysm reflectivity phenotype on SD-OCT is a significant predictor of treatment response in DME.
- The hyperreflective MA phenotype is associated with substantially higher rates of fluid resolution.
- This finding is independent of patient characteristics and treatment modality, offering a potential biomarker for personalized DME management.
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