BACKGROUND: We aimed to evaluate microaneurysms (MAs) after treatment with anti-vascular endothelial growth factor (anti-VEGF) therapy to understand causes of chronic edema and anti-VEGF resistance.
METHODS: Patients with non-proliferative diabetic retinopathy, with or without macular edema were recruited. Optical coherence tomography angiography (OCTA) MAs-related parameters were observed, including the maximum diameter of overall dimensions, material presence, and flow signal within the lumen. OCTA parameters also included central macular thickness (CMT), foveal avascular zone, superficial and deep capillary plexuses, and non-flow area measurements on the superficial retinal slab.
RESULTS: Overall, 48 eyes from 43 patients were evaluated. CMT differed significantly between the diabetic macular edema (DME ) and non-DME (NDME) groups at 1st, 2nd, 3rd, and 6th months of follow-up (P < 0.001; <0.001; 0.003; <0.001, respectively). A total of 55 and 59 MAs were observed in the DME (mean = 99.40 ± 3.18 μm) and NDME (mean maximum diameter = 74.70 ± 2.86 μm) groups at baseline, respectively (significant between-group difference: P < 0.001). Blood flow signal was measurable for 46 (83.6%) and 34 (59.3%) eyes in the DME and NDME groups, respectively (significant between-group difference: P < 0.001).
CONCLUSIONS: Compared to the NDME group, the DME group had larger MAs and a higher blood-flow signal ratio. Following anti-VEGF therapy, changes in the diameter of MAs were observed before changes in CMT thickness.

OBJECTIVE: To investigate the effectiveness of anti-vascular endothelial growth factor (VEGF) therapy on post-vitrectomy macular edema (PVME) and determine the risk factors for PVME recovery.
METHODS: This retrospective study included 179 eyes of 179 patients who underwent pars plana vitrectomy for proliferative diabetic retinopathy and developed PVME within 3 months after surgery. Eyes were grouped according to postoperative anti-VEGF treatment.
RESULTS: Central retinal thickness (CRT) decreased significantly from baseline to 3-month follow-up in groups with (509.9 ± 157.2 μm vs. 401.2 ± 172.1 μm, P < 0.001) or without (406.1 ± 96.1 μm vs. 355.1 ± 126.0 μm, P = 0.008) postoperative anti-VEGF treatment. Best-corrected visual acuity (BCVA) did not differ between the two groups during follow-up. In the group not receiving anti-VEGF therapy, BCVA was significantly improved at 1, 2, and 3 months (P = 0.007, P < 0.001, and P < 0.001, respectively), while in the anti-VEGF group, BCVA was significantly improved at 1 and 3 months (P = 0.03 and P < 0.001). A thicker baseline CRT (β = 0.44; 95% confidence interval, 0.26-0.61; P < 0.001) was significantly associated with decreasing CRT.
CONCLUSIONS: PVME tends to spontaneously resolve in the early postoperative period. The effect of anti-VEGF therapy in the first 3 months after diagnosis appears to be limited.

BACKGROUND: The aim of this study was to investigate the predictive factors for persistent disease activity following anti-vascular endothelial growth factors (anti-VEGF) and their long-term effects in patients to be treated for neovascular age-related macular degeneration (nAMD) under real-world conditions.
METHODS: Retrospective data analysis of the PROOF study, a multi-center real-world retrospective chart review conducted across Korea in patients with nAMD included treatment-naive patients with nAMD who received first anti-VEGF (ranibizumab, bevacizumab, or aflibercept) between January 2017 and March 2019 was performed. All 600 patients (cohort 1) had a minimum follow-up of 12 months of which 453 patients (cohort 2) were followed-up for 24 months from baseline.
RESULTS: At month 12 after anti-VEGF therapy, 58.10% (95% confidence interval [CI]: 54.09, 62.12) of patients and at month 24, 66.02% of patients continued to have persistent retinal fluid. At both months 12 and 24, predictive factors for persistent disease activity were fibrovascular pigment epithelial detachments (PED) (P = 0.0494) and retinal fluid at month 3 after loading phase (P = 0.0082). The mean changes in visual acuity were + 6.2, + 10.1, and + 13.3 letters and in the central subfield thickness were - 79.1 µm, - 96.3 µm, and - 134.4 µm at 12 months from baseline, in the bevacizumab, aflibercept, and ranibizumab groups, respectively.
CONCLUSIONS: The presence of retinal fluid after loading phase and fibrovascular PED were predictors of persistent disease activity after at least 1 year of anti-VEGF treatment.

OBJECTIVE: This study aimed to compare the effect of intravitreal aflibercept (IVA) and ranibizumab (IVR) on the maximal diameter of the largest intraretinal cyst (mdIRC), indicating chronicity in patients with diabetic cystoid macular edema (CME).
METHODS: This retrospective, comparative study included a subgroup of patients from the MARMASIA Study with treatment-naïve diabetic CME who had IVA (IVA group) or IVR (IVR group) on a pro re nata regimen after a loading dose of 3-monthly injections and followed-up for 24 months. Best-corrected visual acuity (logMAR), central macular thickness (CMT, µm), and mdIRC (µm) and their changes during the study period in the IVA and IVR groups were compared.
RESULTS: A total of 175 eyes (65 [37.1%] in IVA and 110 [62.9%] in IVR group) of 113 patients were included in the study analysis. Both groups had statistically significant improvements in BCVA and CMT during the follow-up (p < 0.05 for all), which were comparable between the groups at each time point. However, the mean reduction in mdIRCs was consistently and significantly higher in the IVA group compared to the IVR group at each follow-up examination (F[1, 3.52] = 6.93, p = 0.009).
CONCLUSIONS: IVA seems to have a greater impact in reducing cyst sizes than IVR in diabetic CME.

UNASSIGNED: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
UNASSIGNED: A total of 527 eyes of 506 patients were included. Machine learning (ML) models were trained to predict VA deterioration beyond a logarithm of the minimum angle of resolution of 1.0 after 1 year based on the sequential addition of multimodal data. BaseM models used clinical data (age, sex, treatment regimen, and VA), SegM models included fluid volumes from optical coherence tomography (OCT) images, and RawM models used probabilities of visual deterioration (hereafter probability) from deep learning classifiers trained on baseline OCT (OCT0) and OCT after three loading doses (OCT3), fluorescein angiography, and indocyanine green angiography. We applied SHapley Additive exPlanations (SHAP) for machine learning model interpretation.
UNASSIGNED: The RawM model based on the probability of OCT0 outperformed the SegM model (area under the receiver operating characteristic curve of 0.95 vs. 0.91). Adding probabilities from OCT3, fluorescein angiography, and indocyanine green angiography to RawM showed minimal performance improvement, highlighting the practicality of using raw OCT0 data for predicting visual outcomes. Applied SHapley Additive exPlanations analysis identified VA after 3 months and OCT3 probability values as the most influential features over quantified fluid segments.
UNASSIGNED: Integrating multimodal data to create a visual predictive model yielded accurate, interpretable predictions. This approach allowed the identification of crucial factors for predicting VA in patients with nAMD.
UNASSIGNED: Interpreting a predictive model for 1-year VA in patients with nAMD from multimodal data allowed us to identify crucial factors for predicting VA.

OBJECTIVE: The treatment with anti-VEGF for Retinopathy of prematurity (ROP) has already been widely applied in clinics even though there are still many concerns about this treatment. In this project we investigated the clinical outcomes of intra-vitreous conbercept (IVC) and ranibizumab (IVR) injection for treating type 1 prethreshold ROP in Zone II.
METHODS: The data of ROP infants receiving IVR or IVC from January 2017 to March 2020 who were followed up for at least 12 months in our hospital was studied in the present retrospective study. Regression, reactivation, complications, and ocular biological parameters were evaluated.
RESULTS: One hundred twenty-five eyes (64 infants) in IVC group and 229 eyes (117 infants) in IVR group were observed in the study. All infants showed good response to the two anti-VEGF agents. No eyes deteriorated during the observation. No significant difference was found between the two groups as to the regression within one week and one month, the reactivation rate, and the retreatment interval (p > 0.05) whereas retinal complete vascularization rate at 6 mons after the initial treatment and mean completion time of retinal vascularization after initial injection showed significant difference (p < 0.05). At 12 mons PMA the ocular parameters also presented no statistical difference between the two treated groups (p > 0.05). However, the ocular showed slight myopic tendency with the anti-VEGF treatment when compared to the control group (p < 0.05) whereas there was no statistical difference revealed between the two treated groups (p > 0.05).
CONCLUSIONS: Both conbercept and ranibizumab for treating type 1 prethreshold ROP in Zone II are safe and effective. They had little effect on the development of ocular whereas there was a slight tendency of myopia after the treatment.

The objective of this study was to analyze the effectiveness of two intravitreal antiangiogenic drugs, ranibizumab and aflibercept, in a Mexican population over a period of 5 years, evaluating the improvement in visual acuity (VA) and central retinal thickness (CRT) in a real-world scenario. This is a retrospective study with subjects diagnosed with diabetic retinopathy (DR), proliferative diabetic retinopathy (PDR), and diabetic macular edema (DME) receiving intravitreal injections of ranibizumab and/or aflibercept. In this study, we analyzed 588 eyes of 294 patients who received intravitreal antiangiogenic injections. The results showed an improvement regardless of antiangiogenic treatment or diagnosis in both VA and CRT. We found that both aflibercept and ranibizumab improved VA, while subjects with DME responded less to antiangiogenic treatment (p < 0.05), and that this difference did not correspond to the CRT measured by OCT. These results support evidence that intravitreal antiangiogenic medications are effective for ophthalmic complications of diabetes in our population; however, damage to visual structures is not reversed in most patients. And that the perception by the patient (VA) and that of the ophthalmologist (CRT) do not completely correlate in our study.

BACKGROUND: Retinopathy of prematurity (ROP) is a significant cause of blindness in infants. Appropriate therapeutic intervention is essential because retinal detachment due to the progression of ROP is critical to visual function. The intravitreal injection of anti-vascular endothelial growth factor (VEGF) agents has been increasingly applied to inhibit the development and progression of ROP. In this study, we compared the efficacy of single intravitreal bevacizumab (IVB) and ranibizumab (IVR) injections for the treatment of ROP.
METHODS: A total of 39 eyes in 21 patients with severe ROP and IVB (15 eyes of 8 patients) and IVR (24 eyes of 13 patients) were retrospectively reviewed. Patient background, the severity of ROP, and the percentage of cases in which ROP regressed without additional treatment were compared between the two groups.
RESULTS: Patient background and ROP severity were not significantly different between the two groups. Recurrence was observed in one eye of one patient in the IVB group, and thirteen eyes in seven patients in the IVR group required additional laser photocoagulation, which was significantly different in the two groups (p < 0.01, Fisher\'s exact test). In the IVR group, two eyes of two patients underwent vitreous surgery.
CONCLUSIONS: Compared with IVR, IVB is likely to control the severity of ROP with a single treatment.

Objectives: To evaluate the one-year outcomes of intravitreal ranibizumab biosimilar (RBZ-BS) injections for myopic choroidal neovascularization (mCNV) in Japanese patients. Methods: Twenty-one patients (mean age 69.0 years; 4 males, 17 females) with high myopia and mCNV were retrospectively reviewed. Twelve were treatment-naïve, and nine had previous anti-VEGF treatments. Efficacy measures included best-corrected visual acuity (BCVA) and central macular thickness (CMT). Results: The treatment-naïve group showed significant BCVA improvement from 0.55 ± 0.34 at baseline to 0.24 ± 0.28 at 12 months. The previously treated group had no significant BCVA changes. CMT significantly decreased in both groups: from 295.3 ± 105.2 µm to 207.3 ± 63.0 µm in the treatment-naïve group, and from 196.1 ± 62.0 µm to 147.2 ± 50.1 µm in the previously treated group. Dry macula rates were high: 83% at 3 months and 83% at 12 months in the treatment-naïve group, and 67% at 3 months and 89% at 12 months in the previously treated group. No adverse events were reported. Conclusions: These findings indicate that RBZ-BS is an effective and safe treatment for mCNV, particularly in treatment-naïve patients. The use of RBZ-BS offers a cost-effective alternative to original ranibizumab, reducing financial burdens while maintaining high therapeutic efficacy. Further studies with larger sample sizes and longer follow-up periods are needed to confirm these results and evaluate long-term outcomes and cost-effectiveness.

Deep learning techniques were used in ophthalmology to develop artificial intelligence (AI) models for predicting the short-term effectiveness of anti-VEGF therapy in patients with macular edema secondary to branch retinal vein occlusion (BRVO-ME). 180 BRVO-ME patients underwent pre-treatment FFA scans. After 3 months of ranibizumab injections, CMT measurements were taken at baseline and 1-month intervals. Patients were categorized into good and poor prognosis groups based on macular edema at the 4th month follow-up. FFA-Net, a VGG-based classification network, was trained using FFA images from both groups. Class activation heat maps highlighted important locations. Benchmark models (DesNet-201, MobileNet-V3, ResNet-152, MansNet-75) were compared for training results. Performance metrics included accuracy, sensitivity, specificity, F1 score, and ROC curves. FFA-Net predicted BRVO-ME treatment effect with an accuracy of 88.63% and an F1 score of 0.89, with a sensitivity and specificity of 79.40% and 71.34%, respectively.The AUC of the ROC curve for the FFA-Net model was 0.71. The use of FFA based on deep learning technology has feasibility in predicting the treatment effect of BRVO-ME. The FFA-Net model constructed with the VGG model as the main body has good results in predicting the treatment effect of BRVO-ME. The typing of BRVO in FFA may be an important factor affecting the prognosis.