Purpose: To evaluate treatment outcomes of brolucizumab (BRZ) in patients with polypoidal choroidal vasculopathy (PCV), including both treatment-naive and previously treated patients. Methods: This retrospective observational study included PCV patients followed for up to 12 months after their first BRZ injection. Patients underwent the treat-and-extend or pro re nata regimen throughout the follow-up, assessing visual acuity (VA), central subfoveal thickness, subfoveal choroidal thickness, and polyp height via optical coherence tomography at each visit. The presence of intraretinal fluid or subretinal fluid, treatment intervals at the last follow-up, and intraocular inflammation (IOI) were also evaluated. Results: Ninety-two eyes (20 treatment-naïve and 72 previously treated) were included. Treatment-naive patients exhibited significant improvements in both VA and anatomical outcomes, while previously treated patients primarily showed anatomical improvements with unchanged VA. In the switching group, 61.1% of patients extended their treatment interval by more than two weeks, with 36% achieving intervals longer than 12 weeks. Nine cases (9.8%) of IOI occurred, all in the switching group. Conclusions BRZ effectively treated both treatment-naive and previously treated PCV patients, with naive patients showing superior visual outcomes. The potential for extended treatment intervals in previously treated patients suggests BRZ as a valuable option for treatment-resistant PCV.

Purpose: To develop a deep learning model classifying the laterality of optical coherence tomography (OCT) images. Methods: The study included two-dimensional OCT images (horizontal/vertical macular section) from Seoul National University Hospital. A deep learning model based on ResNet-18 was developed and trained to classify whether OCT images were horizontal or vertical sections and to predict the laterality of the images. Analysis of the results included calculating a mean area under the receiver operating characteristic curve (AUROC) and evaluating accuracy, specificity, and sensitivity. Gradient-weighted class activation for mapping visualization highlighted critical regions for classification. Results: A total of 5,000 eyes of 2,500 patients (10,000 images) was included in the development process. The test dataset consisted of 1,000 eyes of 500 patients (590 eyes without macular abnormalities, 208 epiretinal membranes, 111 age-related macular degenerations, 56 central macular edemas, 23 macular holes, and 12 other macular abnormalities). The deep learning model predicted the OCT section of the eyes in the test dataset with a mean AUROC of 0.9967. The accuracy, sensitivity, and specificity were 0.9835, 0.9870, and 0.9800, respectively. The model predicted the laterality of the eyes in horizontal OCT images with a mean AUROC of 1.0000. The accuracy, sensitivity, and specificity were 0.9970, 1.0000, and 0.9940, respectively. Using vertical OCT images, deep learning models failed to demonstrate any predictive performance in laterality classification. Conclusions We developed a deep learning model to classify the horizontal/vertical sections of OCT images and predict the laterality of horizontal OCT images with high accuracy, sensitivity, and specificity.

Background: To investigate the association of glycemic control and retinal microvascular changes in patients with type 2 diabetes mellitus (T2DM) without diabetic retinopathy (DR). Methods: This retrospective, observational, cohort study included patients with T2DM without DR. The patients were categorized into intensive control (IC; mean glycosylated hemoglobin [HbA1c] ≤7.0%) and moderate control (MC; mean HbA1c >7.0%) groups. Optical coherence tomography (OCT) and swept-source OCT angiography (OCTA) image parameters were compared between three groups, including healthy controls. Results: In total, 259 eyes of 259 participants (88 IC, 81 MC, and 90 controls) were included. The foveal avascular zone area was significantly larger in the MC group than IC and control groups (all P<0.05). The IC group had lower vessel density in the superficial retinal layer and deep retinal layer than the controls (all P<0.05). The choriocapillaris (CC) flow deficit (FD) was significantly greater in the MC group than in the IC and control groups (18.2%, 16.7%, and 14.2%, respectively; all P<0.01). In multivariate regression analysis, CC-FD was associated with the mean HbA1c level (P=0.008). There were no significant differences in OCT parameters among the groups. Conclusion OCTA revealed that early CC impairment is associated with HbA1c levels; the CC changes precede clinically apparent DR. The OCTA parameters differed among the groups according to the degree of glycemic control. Our results suggest that microvascular changes precede DR and are closely related to glycemic control.

Purpose: To report a case of full-thickness macular hole (FTMH) formation secondary to demarcation laser retinopexy in a retinal break with localized retinal detachment patient.Case summary: A 59-year-old male visited our clinic with ocular discomfort in both eyes. Uncorrected visual acuity (UCVA) was 0.63 in right eye. Large retinal break in 1:30 o/c, localized retinal detachment and laser marking scars all around the right eye were found in fundoscopic exam. Posterior-vitreous detachment or vitreomacular traction was not observed in optical coherence tomography (OCT). Demarcation laser retinopexy was performed around the margin of retinal detachment and peripheral degenerative lesions. Three months after demarcation laser retinopexy, UCVA in right eye of the patient was decreased to 0.16 and full thickness macular hole was observed on OCT examination. Pars planar vitrectomy, internal limiting membrane peeling, and SF6 gas tamponade were performed in the right eye. One month after the surgery, closure of FTMH was observed. Three months after surgery, there were no recurrence of FTMH in the right eye. Conclusions Demarcation laser photocoagulation of localized retinal detachments may predispose to FTMH formation. Even though it can be occurred rarely, follow-up check-up is necessary in consideration of the possibility of FTMH, which can cause serious visual loss.