Prognostic Imaging Biomarkers in Diabetic Macular Edema Eyes Treated with Intravitreal Dexamethasone Implant

• Published in: Journal of clinical medicine Vol. 12; no. 4; p. 1303
• Main Authors: Costanzo, Eliana, Giannini, Daniela, De Geronimo, Daniele, Fragiotta, Serena, Varano, Monica, Parravano, Mariacristina
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 06.02.2023; MDPI
• Subjects: Analysis; Biological markers; Biomarkers; Care and treatment; Clinical medicine; Complications and side effects; Dexamethasone; Diabetes; Diabetic retinopathy; Diagnosis; Dosage and administration; Drug therapy; Edema; Eye diseases; Optical tomography; Patients; Retina; Steroids; Vascular endothelial growth factor; Germany; United States > US; OCT; dexamethasone implant; predictive models; OCTA; DME; biomarkers
• ISSN: 2077-0383; 2077-0383
• DOI: 10.3390/jcm12041303

The aim was to evaluate predictive value of baseline optical coherence tomography (OCT) and OCT angiography (OCTA) parameters in diabetic macular edema (DME) treated with dexamethasone implant (DEXi). OCT and OCTA parameters were collected: central macular thickness (CMT), vitreomacular abnormalities (VMIAs), intraretinal and subretinal fluid (mixed DME pattern), hyper-reflective foci (HRF), microaneurysms (MAs) reflectivity, ellipsoid zone disruption, suspended scattering particles in motion (SSPiM), perfusion density (PD), vessel length density, and foveal avascular zone. Responders' (RES) and non-responders' (n-RES) eyes were classified considering morphological (CMT reduction ≥ 10%) and functional (BCVA change ≥ 5 ETDRS letters) changes after DEXi. Binary logistic regression OCT, OCTA, and OCT/OCTA-based models were developed. Thirty-four DME eyes were enrolled (18 treatment-naïve). OCT-based model combining DME mixed pattern + MAs + HRF and OCTA-based model combining SSPiM and PD showed the best performance to correctly classify the morphological RES eyes. In the treatment-naïve eyes, VMIAs were included with a perfect fit for n-RES eyes. The presence of DME mixed pattern, a high number of parafoveal HRF, hyper-reflective MAs, SSPiM in the outer nuclear layers, and high PD represent baseline predictive biomarkers for DEXi treatment responsiveness. The application of these models to treatment-naïve patients allowed a good identification of n-RES eyes.