In Vivo Imaging of Rodent Retina in Retinal Disease.

High-quality imaging of the retina is crucial to the diagnosis and monitoring of disease, as well as for evaluating the success of therapeutics in human patients and in preclinical animal models. Here, we describe the basic principles and methods for in vivo retinal imaging in rodents, including fundus imaging, fluorescein angiography, optical coherence tomography, fundus autofluorescence, and infrared imaging. After providing a concise overview of each method and detailing the retinal diseases and conditions that can be visualized through them, we will proceed to discuss the advantages and disadvantages of each approach. These protocols will facilitate the acquisition of optimal images for subsequent quantification and analysis. Additionally, a brief explanation will be given regarding the potential results and the clinical significance of the detected abnormalities.

Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images.

OBJECTIVE: We developed an optimized decision support system for retinal fundus image-based glaucoma screening. METHODS: We combined computer vision algorithms with a convolutional network for fundus images and applied a faster region-based convolutional neural network (FRCNN) and artificial algae algorithm with support vector machine (AAASVM) classifiers. Optic boundary detection, optic cup, and optic disc segmentations were conducted using TernausNet. Glaucoma screening was performed using the optimized FRCNN. The Softmax layer was replaced with an SVM classifier layer and optimized with an AAA to attain enhanced accuracy. RESULTS: Using three retinal fundus image datasets (G1020, digital retinal images vessel extraction, and high-resolution fundus), we obtained accuracy of 95.11%, 92.87%, and 93.7%, respectively. Framework accuracy was amplified with an adaptive gradient algorithm optimizer FRCNN (AFRCNN), which achieved average accuracy 94.06%, sensitivity 93.353%, and specificity 94.706%. AAASVM obtained average accuracy of 96.52%, which was 3% ahead of the FRCNN classifier. These classifiers had areas under the curve of 0.9, 0.85, and 0.87, respectively. CONCLUSION: Based on statistical Friedman evaluation, AAASVM was the best glaucoma screening model. Segmented and classified images can be directed to the health care system to assess patients' progress. This computer-aided decision support system will be useful for optometrists.

Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa.

BACKGROUND: Labeling color fundus photos (CFP) is an important step in the development of artificial intelligence screening algorithms for the detection of diabetic retinopathy (DR). Most studies use the International Classification of Diabetic Retinopathy (ICDR) to assign labels to CFP, plus the presence or absence of macular edema (ME). Images can be grouped as referrable or nonreferrable according to these classifications. There is little guidance in the literature about how to collect and use metadata as a part of the CFP labeling process. OBJECTIVE: This study aimed to improve the quality of the Multimodal Database of Retinal Images in Africa (MoDRIA) by determining whether the availability of metadata during the image labeling process influences the accuracy, sensitivity, and specificity of image labels. MoDRIA was developed as one of the inaugural research projects of the Mbarara University Data Science Research Hub, part of the Data Science for Health Discovery and Innovation in Africa (DS-I Africa) initiative. METHODS: This is a crossover assessment with 2 groups and 2 phases. Each group had 10 randomly assigned labelers who provided an ICDR score and the presence or absence of ME for each of the 50 CFP in a test image with and without metadata including blood pressure, visual acuity, glucose, and medical history. Specificity and sensitivity of referable retinopathy were based on ICDR scores, and ME was calculated using a 2-sided t test. Comparison of sensitivity and specificity for ICDR scores and ME with and without metadata for each participant was calculated using the Wilcoxon signed rank test. Statistical significance was set at P<.05. RESULTS: The sensitivity for identifying referrable DR with metadata was 92.8% (95% CI 87.6-98.0) compared with 93.3% (95% CI 87.6-98.9) without metadata, and the specificity was 84.9% (95% CI 75.1-94.6) with metadata compared with 88.2% (95% CI 79.5-96.8) without metadata. The sensitivity for identifying the presence of ME was 64.3% (95% CI 57.6-71.0) with metadata, compared with 63.1% (95% CI 53.4-73.0) without metadata, and the specificity was 86.5% (95% CI 81.4-91.5) with metadata compared with 87.7% (95% CI 83.9-91.5) without metadata. The sensitivity and specificity of the ICDR score and the presence or absence of ME were calculated for each labeler with and without metadata. No findings were statistically significant. CONCLUSIONS: The sensitivity and specificity scores for the detection of referrable DR were slightly better without metadata, but the difference was not statistically significant. We cannot make definitive conclusions about the impact of metadata on the sensitivity and specificity of image labels in our study. Given the importance of metadata in clinical situations, we believe that metadata may benefit labeling quality. A more rigorous study to determine the sensitivity and specificity of CFP labels with and without metadata is recommended.

Sea-fan retinal neovascularization associated with rickettsial retinitis: a case report.

BACKGROUND: Rickettsial disease has been commonly associated with retinitis, retinal vasculitis, and optic nerve involvement, but the development of retinal neovascularization has been very rarely reported. We herein describe a case of rickettsial retinitis complicated with the development of sea-fan retinal neovascularization documented with multimodal imaging, including fundus photography, SS-OCT, fluorescein angiography, and SS-OCT angiography. CASE PRESENTATION: A 26-year-old female with a history of fever one week earlier presented with sudden decreased vision in the left eye. Best-corrected visual acuity (BCVA) was 20/2000 and the patient was diagnosed with rickettsial retinitis along the superotemporal retinal vascular arcade associated with serous retinal detachment and retinal hard exudates. The indirect immunofluorescence test was positive for Rickettsia conorii, and the patient was treated with oral doxycycline (200 mg/day) and oral prednisone (0.75 mg/kg/day, with gradual tapering). Four weeks after presentation, the retinal infiltrate and associated serous retinal detachment had resolved, but retinal hard exudates had increased. A large sea-fan preretinal fibrovascular neovascularization became apparent along the superotemporal retinal vascular arcade, but there was no associated retinal ischemia on fluorescein angiography. The patient received an adjunctive single intravitreal injection of 1.25 bevacizumab. Sequential follow-up examinations showed shrinking of sea-fan retinal neovascularization, a complete resolution of retinal hard exudates, and the development of a self-limited vitreous hemorrhage. On last follow-up, 30 months after intravitreal bevacizumab injection, BCVA was 20/25. CONCLUSION: Patients with rickettsial retinitis may develop a sea-fan retinal neovascularization, with subsequent vitreous hemorrhage, putatively through inflammatory mechanisms. Multimodal imaging including OCT, fluorescein angiography, and OCT-angiography, is highly useful for accurate diagnosis and reliable monitoring of the evolution of retinitis, retinal neovascularization, and other retinal changes. The use of a combination therapy with oral doxycycline and corticosteroids and intravitreal anti-VEGF can improve outcomes.

Multilayer Retinal Correspondence of the Structural and Vascular Anomalies in Eyes With Early Macular Telangiectasia Type 2.

Purpose: To assess the correspondence between interdigitation zone (IZ) reflectivity, ellipsoid zone (EZ) loss, inner retinal layer reflectivity, patterns of capillary dilation, and telangiectasia in eyes with early macular telangiectasia type 2 (MacTel). Patients and Methods: Twenty-eight eyes of 22 patients with grade 0-2 MacTel (according to the MacTel project classification) and 28 healthy control eyes were included in this study. Multimodal imaging, including optical coherence tomography (OCT) angiography, adaptive optics flood illumination ophthalmoscopy (AO-FIO) and blue light reflectance (BLR), was performed. The EZ, IZ, and outer plexiform layer (OPL) were analyzed on the structural OCT C-scans. The vascular density (VD) was measured on the binarized and skeletonized angiograms of the superficial vascular plexus and deep capillary complex. The vascular diameter index (VDI) was calculated by dividing the binarized VD by the skeletonized VD. Results: On AO-FIO, cone density in the MacTel zone was significantly lower in MacTel eyes than in controls, even in areas located outside the EZ loss (P < 0.001). A distinctive pattern of IZ reflectivity attenuation extended beyond the area of EZ attenuation. The shape and size of a strong OPL hyper-reflectivity corresponded to the MacTel white area (MacTel zone) seen on BLR. Capillary dilation and rarefaction were colocalized with this area, extending beyond visible telangiectasia. The VDI was higher in MacTel eyes than in controls (P < 0.001). Conclusions: These findings suggest that in early MacTel eyes, photoreceptor signal alteration, OPL hyper-reflectivity, and capillary dilation, potentially associated with Müller cell dysfunction, precede the EZ loss.

Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera.

OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), not enough is being done for large-scale screening. Automated analysis of retinal images captured via smartphone presents a potential solution; however, to our knowledge, such an artificial intelligence (AI) system has not been evaluated. The study aimed to assess the performance of an AI algorithm in detecting referable AMD on images captured on a portable fundus camera. DESIGN, SETTING: A retrospective image database from the Age-Related Eye Disease Study (AREDS) and target device was used. PARTICIPANTS: The algorithm was trained on two distinct data sets with macula-centric images: initially on 108,251 images (55% referable AMD) from AREDS and then fine-tuned on 1108 images (33% referable AMD) captured on Asian eyes using the target device. The model was designed to indicate the presence of referable AMD (intermediate and advanced AMD). Following the first training step, the test set consisted of 909 images (49% referable AMD). For the fine-tuning step, the test set consisted of 238 (34% referable AMD) images. The reference standard for the AREDS data set was fundus image grading by the central reading centre, and for the target device, it was consensus image grading by specialists. OUTCOME MEASURES: Area under receiver operating curve (AUC), sensitivity and specificity of algorithm. RESULTS: Before fine-tuning, the deep learning (DL) algorithm exhibited a test set (from AREDS) sensitivity of 93.48% (95% CI: 90.8% to 95.6%), specificity of 82.33% (95% CI: 78.6% to 85.7%) and AUC of 0.965 (95% CI:0.95 to 0.98). After fine-tuning, the DL algorithm displayed a test set (from the target device) sensitivity of 91.25% (95% CI: 82.8% to 96.4%), specificity of 84.18% (95% CI: 77.5% to 89.5%) and AUC 0.947 (95% CI: 0.911 to 0.982). CONCLUSION: The DL algorithm shows promising results in detecting referable AMD from a portable smartphone-based imaging system. This approach can potentially bring effective and affordable AMD screening to underserved areas.

Automatic retinal image analysis methods using colour fundus images for screening glaucomatous optic neuropathy.

OBJECTIVES: Train an automatic retinal image analysis (ARIA) method to screen glaucomatous optic neuropathy (GON) on non-mydriatic retinal images labelled with the additional results of optical coherence tomography (OCT) and assess different models for the GON classification. METHODS: All the images were obtained from the hospital for training and 10-fold cross-validation. Two methods were used to improve the classification performance: (1) using images labelled with the additional results of OCT as the reference standard and (2) generating models using retinal features from the entire images, the region of interest (ROI) of the optic disc, and the ROI of the macula, and the combination of all the features. RESULTS: Overall, we collected 1338 images with paired OCT scans. In 10-fold validation, ARIA achieved sensitivities of 92.2 %, 92.7% and 85.7%, specificities of 88.8%, 86.7% and 80.2% and accuracies of 90.6%, 89.9% and 83.1% using the retinal features from the entire images, the ROI of the optic disc and the ROI of the macula, respectively. We found the model combining all the features has the best classification performance and obtained a sensitivity of 92.5%, a specificity of 92.1% and an accuracy of 92.4%, which is significantly different from other models (p<0.001). CONCLUSION: We used two methods to improve the classification performance and found the best model to detect glaucoma on colour fundus retinal images. It can become a cost-effective and relatively more accurate glaucoma screening tool than conventional methods.

[Prevalence of diabetic retinopathy assessed using two-field mydriatic fundus photography]. / Otsenka rasprostranennosti diabeticheskoi retinopatii s pomoshch'yu dvukhpol'nogo midriaticheskogo fundus-fotografirovaniya.

Early detection of diabetic retinopathy (DR) is an urgent ophthalmological problem in Russia and globally. PURPOSE: This study assesses the prevalence of asymptomatic retinopathy and attempts to identify risk groups for its development in patients with type 1 and 2 diabetes mellitus (T1DM and T2DM). MATERIAL AND METHODS: The study involved clinics from 5 cities in the Russian Federation and it included 367 patients with DM, 34.88% men and 65.12% women, aged 50.88±20.55 years. 34.88% of patients suffered from T1DM, 65.12% suffered from T2DM, the average duration of the disease was 9.02±7.22 years. 58.31% of patients had a history of arterial hypertension, 13.08% had a history of smoking. The primary endpoint was the frequency of detection of diabetic changes in the eye fundus of patients with T1DM and T2DM in general; the secondary endpoint - same but separately, and for T2DM patients depending on the duration of the disease. The exploratory endpoint was the assessment of the influence of various factors on the development of DR. The patients underwent visometry (modified ETDRS table), biomicroscopy, mydriatic fundus photography according to the «2 fields¼ protocol. RESULTS: The average detection rate of DR was 12.26%, primarily observed in patients with T2DM (13.81%), women (9.26%), in both eyes (8.17%). Among patients with DR, 26 (19.55%) had glycated hemoglobin (HbA1c) level exceeding 7.5% (p=0.002), indicating a direct relationship between this indicator and the incidence of DR. Logistic regression analysis showed that the duration of diabetes of more than 10 years has a statistically significant effect on the development of DR. In the modified model for odds estimation, the likelihood of developing DR is increased by the duration of DM for more than 10 years; increased blood pressure; HbA1c level >7.5%. CONCLUSION: The obtained results, some of which will be presented in subsequent publications, highlight the effectiveness of using two-field mydriatic fundus photography as a screening for DR.

[Diagnosis of choroidal nevus following multiple intravitreal anti-VEGF injections (case study)]. / Diagnostika nevusa khorioidei posle mnogokratnykh intravitreal'nykh in"ektsii anti-VEGF-preparata (klinicheskoe nablyudenie).

This article describes a clinical case of a female patient with choroidal nevus, who was previously diagnosed in another clinic with "subretinal neovascular membrane as a result of central serous chorioretinopathy" and subsequently underwent multiple intravitreal anti-VEGF injections. Based on the analysis of OCT angiography images, the macular changes in this case were interpreted as a polypoidal form of neovascularization in a patient with subfoveolar choroidal nevus.

ETDRS grading with CLARUS ultra-widefield images shows agreement with 7-fields colour fundus photography.

BACKGROUND: To analyse and compare the grading of diabetic retinopathy (DR) severity level using standard 35° ETDRS 7-fields photography and CLARUS™ 500 ultra-widefield imaging system. METHODS: A cross-sectional analysis of retinal images of patients with type 2 diabetes (n = 160 eyes) was performed for this study. All patients underwent 7-fields colour fundus photography (CFP) at 35° on a standard Topcon TRC-50DX® camera, and ultra-widefield (UWF) imaging at 200° on a CLARUS™ 500 (ZEISS, Dublin, CA, USA) by an automatic montage of two 133° images (nasal and temporal). 35° 7-fields photographs were graded by two graders, according to the Early Treatment Diabetic Retinopathy Study (ETDRS). For CLARUS UWF images, a prototype 7-fields grid was applied using the CLARUS review software, and the same ETDRS grading procedures were performed inside that area only. Grading of DR severity level was compared between these two methods to evaluate the agreement between both imaging techniques. RESULTS: Images of 160 eyes from 83 diabetic patients were considered for analysis. According to the 35° ETDRS 7-fields images, 22 eyes were evaluated as DR severity level 10-20, 64 eyes were evaluated as DR level 35, 41 eyes level 43, 21 eyes level 47, 7 eyes level 53, and 5 eyes level 61. The same DR severity level was achieved with CLARUS 500 UWF images in 92 eyes (57%), showing a perfect agreement (k > 0.80) with the 7-fields 35° technique. Fifty-seven eyes (36%) showed a higher DR level with CLARUS UWF images, mostly due to a better visualization of haemorrhages and a higher detection rate of intraretinal microvascular abnormalities (IRMA). Only 11 eyes (7%) showed a lower severity level with the CLARUS UWF system, due to the presence of artifacts or media opacities that precluded the correct evaluation of DR lesions. CONCLUSIONS: UWF CLARUS 500 device showed nearly perfect agreement with standard 35° 7-fields images in all ETDRS severity levels. Moreover, CLARUS images showed an increased ability to detect haemorrhages and IRMA helping with finer evaluation of lesions, thus demonstrating that a UWF photograph can be used to grade ETDRS severity level with a better visualization than the standard 7-fields images. TRIAL REGISTRATION: Approved by the AIBILI - Association for Innovation and Biomedical Research on Light and Image Ethics Committee for Health with number CEC/009/17- EYEMARKER.

A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features.

Purpose: To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) and fundus features. Methods: We enrolled 616 highly myopic eyes of 616 patients. CSF was measured using the quantitative CSF method. Myopic macular degeneration (MMD) was graded according to the International META-PM Classification. Thickness of the macula and peripapillary retinal nerve fiber layer (p-RNFL) were assessed by fundus photography and optical coherence tomography, respectively. Classification was performed by combining CSF and fundus features with principal component analysis and k-means clustering. Results: With 83.35% total variance explained, highly myopic eyes were classified into four AI categories. The percentages of AI categories 1 to 4 were 14.9%, 37.5%, 36.2%, and 11.4%, respectively. Contrast acuity of the eyes in AI category 1 was the highest, which decreased by half in AI category 2. For AI categories 2 to 4, every increase in category led to a decrease of 0.23 logarithm of the minimum angle of resolution in contrast acuity. Compared with those in AI category 1, eyes in AI category 2 presented a higher percentage of MMD2 and thinner temporal p-RNFL. Eyes in AI categories 3 and 4 presented significantly higher percentage of MMD ≥ 3, thinner nasal macular thickness and p-RNFL (P < 0.05). Multivariate regression showed AI category 4 had higher MMD grades and thinner macular compared with AI category 3. Conclusions: We proposed an AI-based classification of highly myopic eyes with clear relevance to visual function and fundus features. Translational Relevance: This classification helps to discover the early hidden visual deficits of highly myopic patients, becoming a useful tool to evaluate the disease comprehensively.

Switch to faricimab after initial treatment with aflibercept in eyes with neovascular age-related macular degeneration.

PURPOSE: To investigate the efficacy and outcomes of switching neovascular age-related macular degeneration (nAMD) patients from aflibercept to faricimab, focusing on visual acuity, retinal fluid management, and treatment intervals. The primary aim was to assess the early outcomes in nAMD patients refractory to aflibercept and explore faricimab's potential as a longer-lasting therapeutic alternative. METHODS: A single-center retrospective study was conducted on 50 refractory nAMD patients at Cleveland Clinic Abu Dhabi from September 2022-May 2023. Patients were switched from aflibercept to faricimab, having met specific criteria for refractory nAMD. The study analyzed best-corrected visual acuity (BCVA), central subfield thickness (CST), and fluid changes post-switch, using Optical Coherence Tomography (OCT). RESULTS: After three faricimab injections, significant reductions in CST were observed, with a notable decrease in retinal fluid. The mean BCVA remained stable throughout the study period. Although there was a decrease in the maximum pigment epithelial detachment (PED) height, it was not statistically significant. Treatment intervals post-switch showed that the majority of patients maintained or extended their treatment intervals, with a significant proportion achieving resolution of intraretinal fluid (IRF) and subretinal fluid (SRF). CONCLUSIONS: Switching to faricimab from aflibercept in refractory nAMD patients led to significant improvements in retinal fluid management and CST, with stable BCVA outcomes. Faricimab presents a promising alternative for patients requiring frequent aflibercept injections, potentially offering a more manageable treatment regimen with extended dosing intervals. This study highlights the need for personalized therapeutic strategies in nAMD treatment, though further research is necessary to optimize treatment switches.

Optical coherence tomography angiography for microaneurysms in anti-vascular endothelial growth factor treated diabetic macular edema.

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.

MICROVASCULAR CHANGES IN TREATMENT-NAÏVE NONEXUDATIVE MACULAR NEOVASCULARIZATION COMPLICATED BY EXUDATION.

PURPOSE: To assess differences in choriocapillaris (CC) and macular neovascularization (MNV) optical coherence tomography angiography quantitative parameters between long-term persistently nonexudative MNVs (NE-MNVs) and long-term activated NE-MNVs in age-related macular degeneration. METHODS: Age-related macular degeneration patients with treatment-naïve NE-MNVs with >2 years of follow-up and no evidence of exudation within the first 6 months from diagnosis were retrospectively recruited. Two groups were considered according to the occurrence (EX group) or not (NE group) of exudation within the first 2 years of follow-up. Segmentation of the MNV and of the perilesional CC were obtained from enface optical coherence tomography angiography acquisitions at diagnosis and at 6-month follow-up. OCT B-scan images of the MNV were also collected. Fractal ratio was defined as the ratio between MNV fractal dimension (FrD) and CC FrD. RESULTS: Fifty (50) eyes were included (20 EX group and 30 NE group). EX group showed higher flow deficit density and flow deficit number at the 6-month follow-up. It also showed higher MNV FrD, lower CC FrD, and higher fractal ratio at the 6-month follow-up. The fractal ratio significantly increased at 6-month acquisitions in the EX group, showing an area under the ROC curves of 0.887 (95% CI 0.869-0.922). CONCLUSION: Fractal ratio at 6 months can predict exudation risk of MNV within 2 years from diagnosis. This suggests increased structural complexity of the NE-MNV accompanied by progressive capillary rarefaction of the perilesional CC as a key driving factor for the development of exudation in NE-MNV.

RETICULAR PSEUDODRUSEN DISAPPEARANCE AFTER DEVELOPMENT OF MACULAR NEOVASCULARIZATION.

PURPOSE: To explore changes in reticular pseudodrusen (RPD) number and location after the development of macular neovascularization (MNV) in eyes with prior intermediate age-related macular degeneration, focusing on different retinal regions differently affected by MNV. METHODS: This retrospective longitudinal study included intermediate age-related macular degeneration eyes with RPD that developed MNV. Reticular pseudodrusen were assessed at baseline when MNV was diagnosed (MNV stage) and after anti-vascular endothelial growth factor treatment. Three regions of interest were considered: MNV area, subretinal fluid (SRF) area, and a marginal area of 1,000 µm around SRF (marginal zone). Reticular pseudodrusen counts were compared with age- and sex-matched control eyes with RPD that did not develop MNV. RESULTS: Reticular pseudodrusen number exhibited a significant decrease after MNV development in the MNV area (P = 0.048) and in the area with SRF (P = 0.078). A statistically significant decrease was also disclosed in the marginal area around SRF (P = 0.002), associated with larger SRF areas. Control eyes did not show any significant change in the RPD count. CONCLUSION: Reticular pseudodrusen reduction after MNV development suggests a complex interplay involving the MNV itself, the presence of SRF, and trophic changes. The results of this study highlight the role of MNV in retinal nutritional balance and provide intriguing results in the RPD life cycle.

IMAGING PREDICTORS OF FUNCTIONAL OUTCOMES AFTER RHEGMATOGENOUS RETINAL DETACHMENT REPAIR.

PURPOSE: To evaluate the microstructural optical coherence tomography and fundus autofluorescence imaging predictors of visual acuity, metamorphopsia, and aniseikonia following rhegmatogenous retinal detachment repair. METHODS: This is a multicenter retrospective study of patients with primary rhegmatogenous retinal detachment who underwent repair. Best-corrected visual acuity, metamorphopsia, and aniseikonia were formally tested at 3 months postoperatively. Metamorphopsia and aniseikonia were quantitatively assessed with M-CHARTS and the New Aniseikonia Test, respectively. High-resolution spectral-domain optical coherence tomography and fundus autofluorescence images were obtained at 3 months postoperatively. Images were assessed for discontinuity of the outer retinal bands on optical coherence tomography and retinal displacement detected by retinal vessel printings on fundus autofluorescence by two masked graders with disagreements adjudicated by a third senior masked grader. Multiple linear regression models were used to determine the predictors of postoperative visual acuity, metamorphopsia, and aniseikonia. RESULTS: Six hundred fourteen eyes of 614 patients were included in this study. Regression analysis indicated that significant early postoperative (at 3 months) imaging predictors of visual acuity were discontinuity of the external limiting membrane (P = 0.001) and the presence of retinal vessel printings on fundus autofluorescence (P = 0.033). Discontinuity of interdigitation zone was a significant predictor of metamorphopsia [horizontal metamorphopsia (P =0.004); vertical metamorphopsia (P = 0.056); average of horizontal metamorphopsia + vertical metamorphopsia (P = 0.008)], and presence of retinal vessel printings was a significant predictor of aniseikonia (P = 0.04). CONCLUSION: Discontinuity of the external limiting membrane and retinal displacement were significant predictors of postoperative visual acuity following rhegmatogenous retinal detachment repair. Discontinuity of the interdigitation zone and retinal displacement were significant predictors of metamorphopsia and aniseikonia, respectively.

Presentation and Clinical Features of Stargardt Disease in a Series of Nigerian Patients.

Stargardt disease (SD) is a common inherited macular dystrophy. It exhibits a high degree of phenotypic and genotypic heterogeneity. Yellow-white flecks are often found in the posterior pole in the early stages of the disease with a reduction in central vision from foveal atrophy as it progresses. A characteristic dark choroid appearance is seen on fundus fluorescein angiography (FFA) in many cases, with occasional reports of choroidal neovascular membranes. We report a series of four Nigerian patients, with varied presentations diagnosed with SD in our facility. One patient had good vision, while the other three had variable degrees of reduced vision. All patients had macular atrophy and flecks, while three patients had a dark choroid appearance on FFA and one patient developed a choroidal neovascular membrane in one eye.

RésuméLa maladie de Stargardt (SD) est une dystrophie maculaire héréditaire courante. La maladie de Stargardt (SD) est une dystrophie maculaire héréditaire courante. Il présente un haut degré d'hétérogénéité phénotypique et génotypique. Il présente un haut degré d'hétérogénéité phénotypique et génotypique. Des taches jaune-blanc sont souvent trouvées dans le pôle postérieur aux premiers stades de la maladie avec une réduction de la vision centrale due à l'atrophie fovéale au fur et à mesure de sa progression. au fur et à mesure de sa progression. Une apparence choroïde foncée caractéristique est observée sur l'angiographie à la fluorescéine du fond d'œil (AFL) dans de nombreux cas, avec des rapports de membranes néovasculaires choroïdiennes. Nous rapportons une série de quatre patients Nigérians, avec des présentations variées diagnostiquées avec SD chez notre établissement. Un patient avait une bonne vision, tandis que les trois autres avaient des degrés variables de vision réduite. Tous les patients présentaient une atrophie maculaire et des taches, tandis que trois patients avaient une apparence choroïde foncée sur FFA et qu'un patient a développé une membrane néovasculaire choroïdienne dans un œil.

PATHWAYS TO GEOGRAPHIC ATROPHY IN NONNEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

PURPOSE: To characterize and quantify the precursor lesions of geographic atrophy in eyes with age-related macular degeneration. METHODS: A retrospective study of eyes with a minimum of 6-month follow-up before developing geographic atrophy. Evaluations included color and autofluorescence imaging, along with spectral-domain optical coherence tomography, employing definitions from the Consensus of Atrophy Meeting Group and Consensus on Neovascular Age-Related Macular Degeneration Nomenclature Study Group. RESULTS: There were 55 eyes of 44 patients, who had a mean age of 81.3 years at onset of atrophy; 35 (63.6%) were female. The mean duration of follow-up before and after the advent of geographic atrophy was 4.9 years and 1.2 years, respectively. Geographic atrophy was preceded by collapse of a druse in 41 eyes (74.5%). Of these, 29 (70.7%) were drusenoid pigment epithelial detachments. Among the eyes with regressing drusen, there were 9 with overlying vitelliform deposit, and all had concurrent subretinal drusenoid deposit; however, 19 of 30 eyes with no vitelliform deposit overlying the druse had concurrent subretinal drusenoid deposit, a difference that was significant ( P < 0.001). Regression of subretinal drusenoid deposit was found in 4 eyes (7.3%), regression of vitelliform deposit associated with subretinal drusenoid deposit in 5 (9.1%), and regression of vitelliform deposit in eyes concurrently harboring drusen was found in 3 (5.4%) and regression of vitelliform deposit alone in 2 (3.6%) at the site of eventual development of geographic atrophy. CONCLUSION: Geographic atrophy appears to develop from multiple pathways as manifested by the many precursor lesions, all various forms of extracellular deposit, that upon regression, result in a common end-stage appearance.

RETINAL ARTERIAL MACROANEURYSM COMBINED WITH BRANCH RETINAL ARTERY OCCLUSION: Literature Review.

PURPOSE: To summarize the causes of retinal arterial microaneurysm combined with branch retinal artery occlusion. METHODS: The case reports of retinal arterial microaneurysm combined with branch retinal artery occlusion were searched in PubMed, Web of Science, and CNKI databases before May 1, 2024. A total of nine participants from nine case reports were included to analyze factors leading to complications. RESULTS: The reasons for this complication are as follows: complications during photocoagulation therapy. Intraretinal hemorrhage and exudation result in compression of adjacent or distal arteries, resulting in branch retinal artery occlusion. Embolus dislodgement or intraarterial embolus formation can block the artery, damage the wall, and provide conditions for the development of retinal arterial microaneurysm. In addition, it is necessary to be alert to the optic disk macroaneurysm, if hemorrhage or embolus formation in the macroaneurysm will affect the blood supply of the downstream artery, affecting a large range of the retina. CONCLUSION: Based on the review of case reports, we found that retinal arterial microaneurysm and branch retinal artery occlusion can cause each other. Acute vision loss can result when a complication occurs. In addition, retinal vascular diseases can reflect the whole body, suggesting that ophthalmologists need to pay attention not only to the patient's fundus but also to the patient's systemic diseases.

Metadata information and fundus image fusion neural network for hyperuricemia classification in diabetes.

OBJECTIVE: In diabetes mellitus patients, hyperuricemia may lead to the development of diabetic complications, including macrovascular and microvascular dysfunction. However, the level of blood uric acid in diabetic patients is obtained by sampling peripheral blood from the patient, which is an invasive procedure and not conducive to routine monitoring. Therefore, we developed deep learning algorithm to detect noninvasively hyperuricemia from retina photographs and metadata of patients with diabetes and evaluated performance in multiethnic populations and different subgroups. MATERIALS AND METHODS: To achieve the task of non-invasive detection of hyperuricemia in diabetic patients, given that blood uric acid metabolism is directly related to estimated glomerular filtration rate(eGFR), we first performed a regression task for eGFR value before the classification task for hyperuricemia and reintroduced the eGFR regression values into the baseline information. We trained 3 deep learning models: (1) metadata model adjusted for sex, age, body mass index, duration of diabetes, HbA1c, systolic blood pressure, diastolic blood pressure; (2) image model based on fundus photographs; (3)hybrid model combining image and metadata model. Data from the Shanghai General Hospital Diabetes Management Center (ShDMC) were used to develop (6091 participants with diabetes) and internally validated (using 5-fold cross-validation) the models. External testing was performed on an independent dataset (UK Biobank dataset) consisting of 9327 participants with diabetes. RESULTS: For the regression task of eGFR, in ShDMC dataset, the coefficient of determination (R2) was 0.684±0.07 (95 % CI) for image model, 0.501±0.04 for metadata model, and 0.727±0.002 for hybrid model. In external UK Biobank dataset, a coefficient of determination (R2) was 0.647±0.06 for image model, 0.627±0.03 for metadata model, and 0.697±0.07 for hybrid model. Our method was demonstrably superior to previous methods. For the classification of hyperuricemia, in ShDMC validation, the area, under the curve (AUC) was 0.86±0.013for image model, 0.86±0.013 for metadata model, and 0.92±0.026 for hybrid model. Estimates with UK biobank were 0.82±0.017 for image model, 0.79±0.024 for metadata model, and 0.89±0.032 for hybrid model. CONCLUSION: There is a potential deep learning algorithm using fundus photographs as a noninvasively screening adjunct for hyperuricemia among individuals with diabetes. Meanwhile, combining patient's metadata enables higher screening accuracy. After applying the visualization tool, it found that the deep learning network for the identification of hyperuricemia mainly focuses on the fundus optic disc region.