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Updated: Jun 8, 2025

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
Fluorescein angiography patterns and subretinal hyperreflective material predict subthreshold micropulse laser
Claudio Iovino1, Clemente Maria Iodice2, Luciana Damiano1
1Multidisciplinary Department of Medical, Surgical and Dental Sciences, Eye Clinic, University of Campania Luigi Vanvitelli, Naples, Italy.
Background:
To investigate predictors of navigated subthreshold micropulse laser (SML) treatment in chronic central serous chorioretinopathy (cCSC).
Methods:
In this single-center prospective consecutive case series, patients with cCSC were treated with 577 nm SML and followed up for 12 months. A complete ophthalmological evaluation including spectral optical coherence tomography (SD-OCT), fluorescein angiography (FA) and microperimetry (MP) was performed. FA hyperfluorescence patterns and SD-OCT features were investigated.
Results:
Overall, 38 eyes from 38 patients affected by cCSC with a mean age of 48.20 ± 5.95 years were included. Thirty-one eyes (81.6%) demonstrated a significant subretinal fluid (SRF) reduction after treatment at 3 months. Complete SRF resolution was achieved by twenty-three patients (60.5%) at 3 months and attained by an additional patient (24 in total, 63.2%) at 6 months. Twenty-two (57.9%) of such individuals were confirmed with no SRF at the end of the follow-up. Best-corrected visual acuity improved significantly and progressively at all timepoints from baseline, in parallel with macular sensitivity (all p: <0.005). Logistic regression analysis revealed that the presence of subretinal hyperreflective material (SHRM, p: 0.044; OR: -0.225; 95% CI: -0.448 - -0.003) and focal hyperfluorescence pattern on FA (p < 0.001; OR: 0.438; 95% CI: 0.196-0.632) predicted poorer and better treatment response, respectively.
Conclusions:
FA hyperfluorescence pattern and presence of SHRM may predict SML treatment response in cCSC patients.

