Search Results (154)

Background/Objectives: Diabetic macular edema (DME) is the primary cause of vision loss in people with diabetes, and if untreated, it can result in irreversible macular damage. Both fluorescein angiography (FA), the gold standard, and optical coherence tomography angiography (OCTA) are used for evaluation of this disease. The objective of this study was to compare the diagnostic value of both. Methods: We conducted a comparative analysis of 98 patients aged 18–80 years with significant DME and best-corrected visual acuity ≥0.1 according to the Snellen chart. Participants underwent glycated hemoglobin blood test (HbA1c) and ophthalmological examinations, including OCTA and FA. OCTA 3 × 3 mm scans of superficial (SCP) and deep capillary plexus (DCP) along with FA scans were exported to the Gimp computer program. Size of the foveal avascular zone (FAZ), the number of visible microaneurysms (MAs), and ETDRS report number 11 classification of the images were assessed. Results: FAZ size differed significantly in superficial plexus (0.41 mm²), deep plexus (0.43 mm²) OCTA, and FA (0.38 mm²) (p < 0.001). FAZ size in DCP OCTA closely correlated with that of FA (τ = 0.79, p < 0.001). The total number of MAs visualized in the OCTA was significantly lower than in FA (p < 0.001). ETDRS classification of scans revealed that the level of consistency between the examinations was moderate to very strong. Conclusions: OCTA may be useful in evaluating macular ischemia. It is less sensitive in detecting MAs in DME eyes. FAZ has sharper boundaries and is larger when measured in OCTA. Poor glycemic control results in higher incidence of MAs in macula. Full article

Visual field (VF) testing remains a cornerstone in assessing retinal function by measuring how well different parts of the retina detect light. It is essential for early detection, monitoring, and management of many retinal diseases. By mapping retinal sensitivity, VF exams can reveal functional loss before structural changes become visible. This review summarizes how VF testing is applied across key conditions: hydroxychloroquine (HCQ) retinopathy, age-related macular degeneration (AMD), diabetic retinopathy (DR) and macular edema (DME), and inherited disorders including inherited dystrophies such as retinitis pigmentosa (RP). Traditional methods like the Goldmann kinetic perimetry and simple tools such as the Amsler grid help identify large or central VF defects. Automated perimetry (e.g., Humphrey Field Analyzer) provides detailed, quantitative data critical for detecting subtle paracentral scotomas in HCQ retinopathy and central vision loss in AMD. Frequency-doubling technology (FDT) reveals early neural deficits in DR before blood vessel changes appear. Microperimetry offers precise, localized sensitivity maps for macular diseases. Despite its value, VF testing faces challenges including patient fatigue, variability in responses, and interpretation of unreliable results. Recent advances in artificial intelligence, virtual reality perimetry, and home-based perimetry systems are improving test accuracy, accessibility, and patient engagement. Integrating VF exams with these emerging technologies promises more personalized care, earlier intervention, and better long-term outcomes for patients with retinal disease. Full article

Background: Diabetic retinopathy (DR) is a leading cause of visual impairment worldwide. Manual grading of fundus images is the gold standard in DR screening, although it is time-consuming. Artificial intelligence (AI)-based algorithms offer a faster alternative, though concerns remain about their diagnostic reliability. Methods: A cross-sectional pilot study among patients (≥18 years) with diabetes was established for DR and diabetic macular edema (DME) screening at the Oslo University Hospital (OUH), Department of Ophthalmology, and the Norwegian Association of the Blind and Partially Sighted (NABP). The aim of the study was to evaluate the validity (accuracy, sensitivity, specificity) and reliability (inter-rater agreement) of automated AI-based compared to manual consensus (MC) grading of DR and DME, performed by a multidisciplinary team of healthcare professionals. Grading of DR and DME was performed manually and by EyeArt (Eyenuk) software version v2.1.0, based on the International Clinical Disease Severity Scale (ICDR) for DR. Agreement was measured by Quadratic Weighted Kappa (QWK) and Cohen’s Kappa (κ). Sensitivity, specificity, and diagnostic test accuracy (Area Under the Curve (AUC)) were also calculated. Results: A total of 128 individuals (247 eyes) (51 women, 77 men) were included, with a median age of 52.5 years. Prevalence of any vs. referable DR (RDR) was 20.2% vs. 11.7%, while sensitivity was 94.0% vs. 89.7%, specificity was 72.6% was 83.0%, and AUC was 83.5% vs. 86.3%, respectively. DME was detected only in one eye by both methods. Conclusions: AI-based grading offered high sensitivity and acceptable specificity for detecting DR, showing moderate agreement with manual assessments. Such grading may serve as an effective screening tool to support clinical evaluation, while ongoing training of human graders remains essential to ensure high-quality reference standards for accurate diagnostic accuracy and the development of AI algorithms. Full article

Purpose: To evaluate the cost-effectiveness of alternative treatment strategies for subretinal macular hemorrhage (SRMH), a condition often associated with neovascular age-related macular degeneration (AMD) and other retinal vascular disorders, leading to severe visual impairment. Methods: A retrospective cross-sectional study conducted at Oslo University Hospital assessed the cost and utility of various SRMH treatment modalities. These included intravitreal anti-VEGF monotherapy, intravitreal tissue plasminogen activator (tPA) with gas displacement (alone and in combination with anti-VEGF), and pars plana vitrectomy (PPV) with subretinal tPA and gas displacement (with and without anti-VEGF). Costs were analyzed from a healthcare perspective, encompassing direct and indirect costs. Effectiveness was measured using median best-corrected visual acuity (BCVA) improvements. Sensitivity analyses were performed to account for complications and variations in follow-up. Results: Anti-VEGF monotherapy was the most cost-effective treatment, with the lowest cost per unit of BCVA improvement (NOK 44,717) in outpatient settings. Intravitreal tPA with gas displacement emerged as a cost-effective alternative but exhibited higher costs when combined with anti-VEGF or performed as an inpatient procedure. PPV with subretinal tPA and gas displacement, with or without anti-VEGF, was the least cost-effective modality, particularly in inpatient settings. Sensitivity analyses indicated that anti-VEGF therapy remained cost-effective even with increased follow-up requirements and complications, while tPA-based therapies required significant BCVA improvements to match anti-VEGF’s cost–utility. Conclusions: Outpatient intravitreal anti-VEGF monotherapy followed by tPA with gas displacement are the most cost-effective strategies for SRMH management. Subretinal tPA-based treatments are associated with higher costs and limited economic viability, highlighting the importance of tailored treatment selection. These findings support strategic resource allocation in managing SRMH while optimizing patient outcomes. Full article

Dark adaptometry is a non-invasive functional test that assesses the retina’s ability to recover sensitivity in low-light conditions following photobleaching. This review explores the physiological mechanisms underlying dark adaptation (DA), including photopigment regeneration and the critical role of the retinal pigment epithelium in the visual cycle. We detail clinical protocols for dark adaptometry using modern instruments such as the AdaptDx, highlighting methodological advances that improve testing efficiency and reproducibility. The clinical utility of dark adaptometry is examined across a range of inherited and acquired retinal disorders, including age-related macular degeneration (AMD), retinitis pigmentosa (RP), Stargardt disease, diabetic retinopathy (DR), cone–rod dystrophy (CRD), vitamin A deficiency, and congenital stationary night blindness (CSNB). Dark adaptometry has emerged as a sensitive biomarker capable of detecting functional deficits before structural changes are evident, making it a valuable tool for early diagnosis and monitoring disease progression. However, limitations such as age-related variability, patient compliance, and lack of standardization remain challenges to broader clinical adoption. Continued refinement of dark adaptometry protocols and instrumentation is essential to maximize its diagnostic potential in ophthalmic practice. Full article

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mutations primarily affecting retinal photoreceptors. In addition to vision loss, other symptoms may lead to visual impairment, such as altered visual fields, hemeralopia, glare sensitivity, and impaired color vision. These conditions almost always complicate with the onset of cataracts, macular edema or atrophy, glaucoma, etc. A brief overview of key genes involved in the most common and well-known IRDs is provided, followed by clinical and diagnostic implications. The study of IRDs has seen a significant acceleration in recent decades, owing to advances in molecular genetics with the introduction of exome sequencing (WES) and genome-wide association studies (GWASs), which have facilitated the identification of a broad spectrum of genes associated with IRDs. This has led to the classification of five genetic variants, based on the criteria of the American College of Medical Genetics and Genomics (ACMG), serving as a guide for interpreting genetic reports. Next, approaches to genomic editing therapies and research directions regarding artificial intelligence (AI) and machine learning (ML) are discussed. The paper concludes with an examination of the inevitable ethical and regulatory issues, typically driven by regulatory bodies such as the Food and Drug Administration (FDA). Full article

Glaucoma is a leading cause of irreversible blindness worldwide; therefore, detection of this disease in its early stage is crucial. However, previous efforts to identify early-stage glaucoma have faced challenges, including insufficient accuracy, sensitivity, and specificity. This study presents a concatenated artificial intelligence model that combines two types of input features: fundus images and quantitative retinal thickness parameters derived from macular and peri-papillary retinal nerve fiber layer (RNFL) thickness measurements. These features undergo an intelligent transformation, referred to as “smart preprocessing”, to enhance their utility. The model employs two classification approaches: a convolutional neural network approach for processing image features and an artificial neural network approach for analyzing quantitative retinal thickness parameters. To maximize performance, hyperparameters were fine-tuned using a robust methodology for the design of experiments. The proposed AI model demonstrated outstanding performance in early-stage glaucoma detection, outperforming existing models; its accuracy, sensitivity, specificity, precision, and $F_1$-Score all exceeding 0.90. Full article

Color vision is a critical aspect of human visual perception, yet traditional assessments often lack quantitative precision. The Rabin Cone Contrast Test and its successors offer objective, standardized measurements of cone-specific contrast sensitivity. These tests improve the detection and classification of color vision deficiencies and can facilitate the monitoring of color vision deficits in inherited retinal diseases, cone dystrophies, optic neuropathies, and brain injuries. Integrating quantitative color vision testing into clinical practice presents a more reliable, reproducible, and functionally relevant evaluation, highlighting its value in disease diagnosis, characterization, and management. Full article

Adaptive optics-transscleral flood illumination (AO-TFI) is a novel imaging technique with potential for detecting retinal pigment epithelium (RPE) changes in dry age-related macular degeneration (AMD). This single-center prospective study evaluated its ability to visualize pathological features in AMD. AO-TFI images were acquired using the prototype Cellularis^® camera over six 5 × 5° macular zones in patients with good fixation and no exudative changes. Conventional imaging modalities, including spectral-domain optical coherence tomography (OCT), color fundus photography and fundus autofluorescence, were used for comparison. AO-TFI images were correlated with OCT using a custom method (Fiji software, v. 2.9). Eleven eyes of nine patients (70 ± 8.3 years) with early (n = 5), intermediate (n = 1) and atrophic (n = 5) AMD were analyzed. AO-TFI identified relevant patterns in dry AMD. RPE cell visibility was impaired in affected eyes, but AO-TFI distinguished cuticular drusen with hyporeflective centers and bright edges, large ill-defined drusen and stage 3 subretinal drusenoid deposits as prominent hyperreflective spots. It provided superior resolution for small drusen compared to OCT and revealed crystalline structures and hyporeflective dots in atrophic regions. Atrophic borders remained isoreflective unless RPE displacement was absent, allowing precise delineation. These findings highlight AO-TFI’s potential as a sensitive imaging tool for characterizing early AMD and clinical research. Full article

Retina, a light-sensitive layer of tissue of the eye, requires high levels of oxygen for its physiology. Retinal ischemia occurs due to inadequate supply of blood to the retina and choroid. Retinal ischemia is implicated in the development or progression of many ocular diseases, such as diabetic retinopathy (DR) and age-related macular degeneration (AMD). To date, anti-vascular endothelial growth factor (VEGF) treatment has been widely used to manage neovascular diseases associated with retinal ischemia. Nonetheless, a substantial number of patients with DR or AMD still suffer from incomplete response and adverse effects related to its therapy with limitations. Therefore, research scientists have been developing and finding novel treatments to protect against or prevent vision loss in those diseases. In this review article, we summarize the recent novel therapeutic approaches for the treatment of ischemic retinopathy (e.g., cell therapy, advanced molecular targeting, or drug delivery). This summary enables further research to obtain more solid evidence of novel effective drug development in retinal ischemic diseases. Full article

Objectives: In this study, the objective was to assess the correlation between macular function and peripapillary retinal nerve fiber layer (pRNFL) thickness following successful rhegmatogenous retinal detachment (RRD) surgery, as well as the subsequent recovery of visual acuity. Methods: This was a cross-sectional study including 64 eyes from patients with RRD who underwent successful treatment with 23G pars plana vitrectomy (PPV), endophotocoagulation and sulfur-hexafluoride (SF6) were included and compared to a control group consisting of 136 healthy eyes. A complete ophthalmological examination was performed on all participants, including assessment of macular sensitivity using macular integrity assessment (MAIA) microperimetry and pRNFL thickness using DRI-Triton swept-source (SS)–optical coherence tomography (OCT). Results: In the RRD group, retinal sensitivity was decreased. The temporal (T) sector of the total retina (TR) protocol was thicker, while the superior (S) and inferior (I) sectors of the pRNFL protocol were thinner. Within the RRD group, positive correlations were observed between the nasal (N), I sectors and total thickness of TR protocol and MAIA inferior outer (IO) sector; the I sector and total thickness of the TR protocol and MAIA inferior inner (II) sector; the I sector of the pRNFL protocol and MAIA IO sector. Negative correlations were shown between the S, T sectors and total thickness of the pRNFL protocol and MAIA central (C) sector; the N sector and total thickness of the pRNFL protocol and MAIA central temporal (CT) sector. Conclusions: RRD leads to a decrease in pRNFL thickness accompanied by reduced macular sensitivity. These changes may be attributed to factors such as the specific location of the RRD, the distribution pattern of the RNFL and the chosen surgical approach. Full article

Background: This study aims to evaluate changes in the central retina in patients with type 2 diabetes mellitus (T2DM) undergoing uncomplicated small incision cataract surgery with or without pseudoexfoliation syndrome (PEXS) using optical coherence tomography angiography (OCTA). Methods: In this prospective, longitudinal study, 67 T2DM patients underwent cataract surgery. Twelve of them had PEXS. All parameters were measured at two time points. Macular 3 × 3 mm and 6 × 6 mm OCTA images were obtained. All data were analyzed using R statistical software (version 4.4.1). Results: Parafoveal vascular density (VD) in the superior capillary plexus and the deep capillary plexus increased in the non-PEX group. There was an increase in VD in perifoveal vascular density in the deep capillary plexus in both groups. Three months after cataract surgery, changes in perifoveal vascular density in the deep capillary plexus increased in both groups and were significant. Conclusion: Perifoveal vascular density in the deep capillary plexus showed a significant increase in VD, regardless of the presence of PEXS. Parafoveal VD in the deep and superficial capillary plexuses appeared to be sensitive primarily in non-PEXS patients, with a notable increase observed in these areas three months after surgery. Full article

Background: Best-corrected visual acuity (BCVA) is the current gold standard of retinal function measurement but is not affected in early and intermediate forms of age-related macular degeneration (AMD). Increasing evidence suggests that microperimetry is a sensitive measure of visual function. This study sought to analyze the associations between plasma and urine metabolites and microperimetry in AMD. Methods: We included data on 363 eyes (95 controls, 268 AMD). Microperimetry was performed in patients with or without AMD using the Macular Integrity Assessment (MAIA) microperimetry system, employing a 37-point full-threshold protocol. Plasma and urine samples were analyzed via ultra-high-performance liquid chromatography–mass spectrometry. Multilevel mixed-effects linear models were used to assess associations between the metabolites and retinal sensitivity. Statistical significance was determined by considering the number of independent tests that accounted for 80% of the variance (ENT80). Results: We identified two plasma and seven urine metabolites, which were significantly associated with mean retinal sensitivity in AMD, and the key results include metabolites in the lysine metabolism pathway. Conclusions: To our knowledge, we present the first assessment of the associations between plasma and urinary metabolites and retinal microperimetry sensitivity in AMD. This work can reveal more insight into the pathogenesis of AMD. Full article

Background/Objectives: The diagnosis and prognosis of arrested foveal development or foveal hypoplasia (FH) can be made using the Leicester grading system for FH and optical coherence tomography (OCT). In clinical practice, ophthalmologists and ophthalmic health professionals with varying experience consult patients with FH; however, to date, the FH grading system has only been validated amongst experts. We compare the inter-grader and intra-grade agreement of healthcare professionals against expert consensus across all grades of FH. Methods: Handheld and table-mounted OCT images (n = 341) were graded independently at a single centre by experts (n = 3) with over six years of experience and “novice” medical and allied health professionals (n = 5) with less than three years of experience. Sensitivity, specificity, and Cohen’s kappa scores were calculated for each grader, and expert vs. novice performance was compared. Results: All graders showed high sensitivity (median 97% (IQR: 94–99)) and specificity (median 94% (IQR: 90–95)) in identifying the presence or absence of FH. No significant difference was seen in specificity between expert and novice graders, but experts had significantly greater diagnostic sensitivity (median difference = 5.3%, H = 5.00, p = 0.025). Expert graders had the highest agreement with the ground truth and novice graders showed great variability in grading uncommon grades, such as atypical FH. The proposed causes of misclassification included macular decentring in handheld OCT scans in children. Conclusions: Ophthalmologists of varying experience and allied health professionals can accurately identify FH using handheld and table-mounted OCT images. FH identification and paediatric OCT interpretation can be improved in wider ophthalmic clinical settings through the education of ophthalmic staff. Full article

Objectives: This study aimed to investigate the possible relationship between aortic stenosis (AS) occupancy and the incidence of subsequent macular diseases. Methods: A retrospective cohort study was conducted using the TriNetX database, and participants with AS were enrolled and matched to non-AS participants. A total of 421,860 and 421,860 participants were evenly divided into the AS and non-AS groups, respectively. The major outcomes of the present study include the development of age-related macular degeneration (AMD), retinal vascular occlusion (RVO), epiretinal membrane (ERM), and central serous chorioretinopathy (CSC). Cox proportional hazard regression was utilized for statistical analysis. Results: There were 4426 and 3013 AMD events; 7315 and 4753 RVO events; 2780 and 1910 ERM events; and 113 and 64 CSC events in the AS and non-AS groups, respectively. According to the results of Cox proportional hazard regression analysis, the AS group demonstrated significantly higher incidences of all macular diseases, including AMD, RVO, ERM, and CSC, compared to the non-AS group (all p < 0.05). The cumulative probabilities of all macular diseases were significantly higher in the AS group than in the non-AS group (all p < 0.05). In the sensitivity analysis, the developmental risks of AMD were significantly higher in the AS group than in the non-AS group with all traits. Conclusions: This study determined that AS occupancy is related to a higher risk of developing macular diseases, which positively correlated to the disease time of AS. Full article