Diagnosis Of Age-related Macular Degeneration Research Articles

Thyroid dysfunction and exudative age-related macular degeneration - A longitudinal nationwide registry-based cohort study.

The association between thyroid dysfunction and exudative age-related macular degeneration (AMD) is unknown. In this Danish longitudinal nationwide registry-based cohort study we included all Danish residents aged 50-100 between 2008 and 2018. Using the Danish national registries, we studied the association between thyroid dysfunction and exudative AMD. Thyroid dysfunction was classified as two consecutive redeemed prescriptions of thyroid hormones (hypothyroidism) or anti-thyroid medication (hyperthyroidism). Exudative AMD was classified as an ICD diagnosis of AMD and a code for anti-VEGF treatment. All patients are treated for exudative AMD in a hospital in Denmark, and we therefore have complete registration of this patient group. We included 2 087 305 individuals, of which 1 072 567 (51.4%) were women; 59 318 (2.8%) had hypothyroidism, and 33 922 (1.6%) had hyperthyroidism. During a median follow-up of 11 years, 26 998 (1.3%) people developed exudative AMD. Hypothyroidism (adjusted hazard ratio [HR]: 1.17; 95% confidence interval [CI] 1.10-1.25; p < 0.001) and hyperthyroidism (HR: 1.23; 95% CI:1.13-1.34; p < 0.001) were both associated with the development of exudative AMD. The age-stratified analyses yielded similar results to the main analyses, except that the risks were exaggerated in the older part of the population. This is the first longitudinal nationwide study showing that both hypo- and hyperthyroidism are associated with an increased risk of exudative AMD. AMD is a quantitative problem in the population and our findings could have a public health impact. Further studies are needed to study the underlying mechanisms of the association.

Variations in Using Diagnosis Codes for Defining Age-Related Macular Degeneration Cohorts

Data harmonization is vital for secondary electronic health record data analysis, especially when combining data from multiple sources. Currently, there is a gap in knowledge as to how studies identify cohorts of patients with age-related macular degeneration (AMD), a leading cause of blindness. We hypothesize that there is variation in using medical condition codes to define cohorts of AMD patients that can lead to either the under- or overrepresentation of such cohorts. This study identified articles studying AMD using the International Classification of Diseases (ICD-9, ICD-9-CM, ICD-10, and ICD-10-CM). The data elements reviewed included the year of publication; dataset origin (Veterans Affairs, registry, national or commercial claims database, and institutional EHR); total number of subjects; and ICD codes used. A total of thirty-seven articles were reviewed. Six (16%) articles used cohort definitions from two ICD terminologies. The Medicare database was the most used dataset (14, 38%), and there was a noted increase in the use of other datasets in the last few years. We identified substantial variation in the use of ICD codes for AMD. For the studies that used ICD-10 terminologies, 7 (out of 9, 78%) defined the AMD codes correctly, whereas, for the studies that used ICD-9 and 9-CM terminologies, only 2 (out of 30, 7%) defined and utilized the appropriate AMD codes (p = 0.0001). Of the 43 cohort definitions used from 37 articles, 31 (72%) had missing or incomplete AMD codes used, and only 9 (21%) used the exact codes. Additionally, 13 articles (35%) captured ICD codes that were not within the scope of AMD diagnosis. Efforts to standardize data are needed to provide a reproducible research output.

Rediscovering AMD with Swept-Source OCT Imaging: The 2022 Charles L. Schepens, MD, Lecture

Swept-source optical coherence tomography angiography (SS-OCTA) scans of eyes with age-related macular degeneration (AMD) were used to replace color, autofluorescence, infrared reflectance, and dye-based fundus angiographic imaging for the diagnosis and staging of AMD. Through the use of different algorithms with the SS-OCTA scans, both structural and angiographic information can be viewed and assessed using both cross-sectional and en face imaging strategies. Presented at the 2022 Charles L. Schepens, MD, Lecture at the American Academy of Ophthalmology Retina Subspecialty Day, Chicago, Illinois, on September 30, 2022 PARTICIPANTS: Patients with AMD METHODS: Review of published literature and ongoing clinical research using SS-OCTA imaging in AMD. SS-OCTA imaging of AMD at different stages of disease progression. Volumetric SS-OCTA dense raster scans were used to diagnose and stage both exudative and nonexudative AMD. In eyes with nonexudative AMD, a single SS-OCTA scan was used to detect and measure structural features in the macula such as the area and volume of both typical soft drusen and calcified drusen, the presence and location of hyperreflective foci, the presence of reticular pseudodrusen, also known as subretinal drusenoid deposits, the thickness of the outer retinal layer, the presence and thickness of basal laminar deposits, the presence and area of persistent choroidal hypertransmission defects, and the presence of treatment-naïve nonexudative macular neovascularization. In eyes with exudative AMD, the same SS-OCTA scan pattern was used to detect and measure the presence of macular fluid, the presence and type of macular neovascularization, and the response of exudation to treatment with vascular endothelial growth factor inhibitors. In addition, the same scan pattern was used to quantitate choriocapillaris (CC) perfusion, CC thickness, choroidal thickness, and the vascularity of the choroid. Compared with using several different instruments to perform multimodal imaging, a single SS-OCTA scan provides a convenient, comfortable, and comprehensive approach for obtaining qualitative and quantitative anatomic and angiographic information to monitor the onset, progression, and response to therapies in both nonexudative and exudative AMD.

Evaluation of a Digital Amsler Grid (PocDoc) for Macular Disease Screening: A Comparative Analysis with the Conventional Method.

Macular diseases are major contributors to visual impairment and blindness worldwide. This study introduces PocDoc, a digital version of the conventional Amsler grid, aimed at enhancing the screening and monitoring of macular diseases. We conducted a comprehensive evaluation to compare the effectiveness of PocDoc against the conventional method. Our comparative analysis involved two distinct phases. Initially, we assessed the capability of both PocDoc and the conventional method in detecting central visual field abnormalities. This phase included a cohort of 72 healthy and 155 eyes affected by various conditions such as age-related macular degeneration (AMD), uveitis, polypoidal choroidal vasculopathy (PCV), and macular telangiectasia. We primarily focused on the area of compromise and observed the correlation between the results obtained from both methods, measuring their concordance using a correlation coefficient. In the second phase, we evaluated the accuracy of both methods in diagnosing AMD. This involved a group of 127 eyes, including 70 healthy and 57 AMD-affected eyes. We determined the sensitivity, specificity, and overall accuracy of each method in diagnosing AMD. In the initial phase, both PocDoc and the conventional Amsler grid demonstrated a high correlation in detecting central visual field defects across various macular diseases (correlation coefficient > 0.9). In the second phase, focused on AMD diagnosis, PocDoc showed a sensitivity of 50%, specificity of 100%, and an overall accuracy of 78%. Comparatively, the conventional method exhibited a sensitivity of 49%, specificity of 100%, and accuracy of 77%. PocDoc's digital Amsler grid exhibits comparable effectiveness to the conventional method in both detecting visual field abnormalities across a range of macular diseases and specifically in the diagnosis of AMD. The high correlation in results, combined with the digital advantages of PocDoc, such as ease of use and potential for telemedicine applications, suggests its viability as a valuable tool in the screening and monitoring of macular diseases.

Identification of Genetic Variants for Risk Prediction and Early Diagnosis of Age-Related Macular Degeneration in the Taiwanese Population.

Age-related macular degeneration (AMD) is the leading cause of blindness in the elderly worldwide. The prevalence and phenotypes of AMD differ among populations, including between people in Taiwan and other regions. We performed a genome-wide association study to identify genetic variants and to develop genetic models to predict the risk of AMD development and progression in the Taiwanese population. In total, 4039 patients with AMD and 16,488 non-AMD controls (aged ≥ 65 years) were included. We identified 31 AMD-associated variants (p < 5 × 10-8) on chromosome 10q26, surrounding PLEKHA1-ARMS2-HTRA1. Two genetic models were constructed using the clump and threshold method. Model 1 included the single nucleotide polymorphism rs11200630 and showed a 1.31-fold increase in the risk of AMD per risk allele (95% confidence interval (CI) = 1.20-1.43, p < 0.001). In model 2, 1412 single-nucleotide polymorphisms were selected to construct a polygenic risk score (PRS). Individuals with the top 5% PRS had a 1.40-fold higher AMD risk compared with that of individuals with a PRS in the bottom quartile (95% CI = 1.04-1.89, p = 0.025). Moreover, the PRS in the upper quartile was related to a decreased age at AMD diagnosis by 0.62 years (95% CI = -1.15, -0.09, p = 0.023). Both genetic models provide useful predictive power for populations at high risk of AMD, affording a basis for identifying patients requiring close follow-up and early intervention.

Characterizing the Journey of Geographic Atrophy Patients in Routine Ophthalmic Practice.

Geographic atrophy (GA) is a form of late-stage age-related macular degeneration (AMD). This study aims to characterize the journey of patients with GA in real-world ophthalmology practice. This is a retrospective cohort study of 100 patients with GA and 100 with intermediate AMD (iAMD). Approximately one-third of GA patients' eyes had GA at the time of their initial AMD diagnosis, and nearly half of the iAMD patients' eyes had iAMD at that time. When holding confounders constant, GA patients experienced significantly worse visual acuity outcomes, and a significantly higher proportion required referrals for low vision evaluation, needed assistance for activities of daily living, failed to meet driving standards, and met criteria for legal blindness when compared to iAMD controls. Many patients have already progressed to GA by the time they receive an AMD diagnosis, emphasizing the importance of providing early detection and intervention, especially considering novel treatment options. [Ophthalmic Surg Lasers Imaging Retina 2024;55:XX-XX.].

A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images

The increase in eye disorders among older individuals has raised concerns, necessitating early detection through regular eye examinations. Age-related macular degeneration (AMD), a prevalent condition in individuals over 45, is a leading cause of vision impairment in the elderly. This paper presents a comprehensive computer-aided diagnosis (CAD) framework to categorize fundus images into geographic atrophy (GA), intermediate AMD, normal, and wet AMD categories. This is crucial for early detection and precise diagnosis of age-related macular degeneration (AMD), enabling timely intervention and personalized treatment strategies. We have developed a novel system that extracts both local and global appearance markers from fundus images. These markers are obtained from the entire retina and iso-regions aligned with the optical disc. Applying weighted majority voting on the best classifiers improves performance, resulting in an accuracy of 96.85%, sensitivity of 93.72%, specificity of 97.89%, precision of 93.86%, F1 of 93.72%, ROC of 95.85%, balanced accuracy of 95.81%, and weighted sum of 95.38%. This system not only achieves high accuracy but also provides a detailed assessment of the severity of each retinal region. This approach ensures that the final diagnosis aligns with the physician’s understanding of AMD, aiding them in ongoing treatment and follow-up for AMD patients.

Assessment of vision-related quality of life and depression in patients with age-related macular degeneration.

To evaluate the effect of age-related macular degeneration (AMD) on vision-related quality of life (VRQOL) and depression levels. This cross-sectional study included 143 patients who are being followed up with a diagnosis of AMD. The Turkish versions of the National Eye Institute Visual Functioning Questionnaire-25 (NEI VFQ-25) and Geriatric Depression Scale-15 (GDS-15) were directed to the patients. The questionnaire results were analyzed based on the severity, treatment procedures for AMD, and sociodemographic characteristics of patients. The subscale scores obtained from the NEI VFQ-25 ranged from 47.54 for "near activities" to 84.02 for "color vision." Of the patients, 59.4% (85/143) were compatible with depression according to the GDS-15 questionnaire. There was no significant difference in the NEI VFQ-25 subscale scores between the gender groups (P > 0.05), whereas females were statistically significantly more depressive than males (P < 0.05). There were no significant differences between the injection (anti-vascular endothelial growth factors [anti-VEGF]) group and the non-injection group in terms of subscales of the NEI VFQ-25 questionnaire (P > 0.05). The depression ratio in the non-injected group was statistically significantly higher (P < 0.05). According to the present study, the association between depression and AMD is a fact that should be highlighted. Patients with depression had lower scores on the quality of life (QOL) test. Previous intravitreal injection did not affect NEI VFQ-25 scores. Female patients with AMD had higher rates of depression and lower visual acuity levels.

Alzheimer Disease Treatment With Acetylcholinesterase Inhibitors and Incident Age-Related Macular Degeneration

Age-related macular degeneration (AMD) is a serious and common ophthalmologic disorder that is hypothesized to result, in part, from inflammatory reactions in the macula. Alzheimer disease (AD) treatment, acetylcholinesterase inhibitors (AChEIs), have anti-inflammatory effects and it remains unclear if they modify the risk of AMD. To investigate the association between AChEI medications and the incidence of AMD. This propensity score-matched retrospective cohort study took place at health care facilities within the US Department of Veterans Affairs (VA) health care system from January 2000 through September 2023. Participants included patients diagnosed with AD between ages 55 and 80 years with no preexisting diagnosis of AMD in the VA database. AChEIs prescription dispensed as pharmacologic treatments for AD. The first diagnosis of AMD. A total of 21 823 veterans with AD (mean [SD] age, 72.3 [6.1] years; 21 313 male participants [97.7%] and 510 female participants [2.3%]) were included. Propensity score-matched Cox model reveals each additional year of AChEI treatment was associated with a 6% lower hazard of AMD (hazard ratio, 0.94; 95% CI, (0.89-0.99). This observational study reports a small reduction in the risk of AMD among veterans with AD receiving AChEIs. Randomized clinical trials would be needed to determine if there is a cause-and-effect relationship and further research is required to validate these findings across diverse populations.

Disease Awareness Among Patients With Age-Related Macular Degeneration: Patterns and Predictors.

Purpose: To examine the prevalence and predictors of patient awareness of their disease in adults with age-related macular degeneration (AMD). Methods: This study analyzed 5553 adults 40 years or older in the 2005-2008 National Health and Nutrition Examination Survey who underwent retinal imaging. AMD was determined based on retinal images. Patient awareness of their AMD was assessed by a self-reported AMD diagnosis. Multivariable logistic regression models were constructed to examine the association of patient awareness of their AMD with sociodemographic characteristics and specific AMD lesion types on retinal imaging. Results: AMD was identified in 425 of the adults surveyed (6.5%) (95% confidence interval [CI], 5.5%-7.5%), including 87.7% (95% CI, 82.9%-92.5%) with early AMD and 12.3% (95% CI, 7.5%-17.1%) with late AMD. Among adults with either type of AMD on retinal imaging, 17.5% (95% CI, 13.1%-22.0%) were aware of their disease, which included 11.6% (95% CI, 8.4%-14.9%) with early AMD and 59.2% (95% CI, 43.1%-75.3%) with late AMD (P < .0001). In the same group, those aged 60 years or older (odds ratio [OR], 33.46; 95% CI, 7.67-146.03) and with a best-corrected visual acuity of 20/40 or worse (OR, 4.63; 95% CI, 2.95-7.26) had higher awareness of their AMD diagnosis, whereas Hispanic (OR, 0.28; 95% CI, 0.09-0.88) vs White adults and those who did not speak English at home (OR, 0.05; 95% CI, 0.01-0.41) had lower awareness of their diagnosis. Conclusions: Fewer than 1 in 5 adults with AMD were aware of their personal diagnosis, including fewer than 3 in 5 adults with late AMD. Older adults and those with worse vision were more likely to know they have AMD, whereas Hispanic adults and those who did not speak English at home were less likely. Efforts to increase patients' awareness of their AMD may improve rates of follow-up and prevent vision loss.

The occurrence of age-related macular degeneration in the presence of a transferred, confirmed COVID-19

BACKGROUND: COVID-19 can affect the eyes and both the anterior and posterior segments of the eye. Retinal complications associated with COVID-19 have been reported.&#x0D; CLINICAL CASE DESCRIPTION: We present a clinical case of age-related macular degeneration that developed during the acute period of coronavirus infection. A patient with COVID-19 and pneumonia (CT-1) experienced sudden decrease in visual acuity within 1 month. A dark spot appeared in front of the left eye, which did not disappear despite eye movements, and distortion of objects was observed. The disease was manifested acutely. A complete ophthalmological examination revealed a sharp decrease in visual acuity and a positive Amsler test (distortion of lines at a distance of 30 cm). In the field of view, scotomas were noted in the center. Ophthalmoscopy revealed light and dark foci in the central macular zone of the retina. Cptical coherence tomography with an angiographic mode detected severe changes at the level of the neuroepithelium and retinal pigment epithelium with the formation of gray tissue. Aflibercept (approved for use in the Russian Federation, No. LP-003544) was intravitreally prescribed according to the clinical guidelines for treating age-related macular degeneration. After treatment with positive dynamics, visual acuity increased to 1.0, and the thickness of the retina decreased by 102 microns.&#x0D; CONCLUSION: The key objective in making a correct diagnosis was the use of optical coherence tomography with an angiographic mode. This method allows the visualization of the retinal layers without invasion The angiography mode allows the assessment of the state of the foveolar avascular zone and the density and perfusion of blood vessels, which enable the diagnosis of age-related macular degeneration and choroidal neovascularization. Timely antiangiogenic treatment, that is, a single intraocular injection, completely restored the visual acuity and visual field and normalized the state of the retina according to objective data of optical coherence tomography with angiography mode.

Patient-Centered Economic Burden of Exudative Age-Related Macular Degeneration: Retrospective Cohort Study.

Exudative age-related macular degeneration (AMD), one of the leading causes of blindness, requires expensive drugs such as anti-vascular endothelial growth factor (VEGF) agents. The long-term regular use of effective but expensive drugs causes an economic burden for patients with exudative AMD. However, there are no studies on the long-term patient-centered economic burden of exudative AMD after reimbursement of anti-VEGFs. This study aimed to evaluate the patient-centered economic burden of exudative AMD for 2 years, including nonreimbursement and out-of-pocket costs, compared with nonexudative AMD using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This retrospective cohort study was conducted using the OMOP CDM, which included 2,006,478 patients who visited Seoul National University Bundang Hospital from June 2003 to July 2019. We defined the exudative AMD group as patients aged >50 years with a diagnosis of exudative AMD and a prescription for anti-VEGFs or verteporfin. The control group was defined as patients aged >50 years without a diagnosis of exudative AMD or a prescription for anti-VEGFs or verteporfin. To adjust for selection bias, controls were matched by propensity scores using regularized logistic regression with a Laplace prior. We measured any medical cost occurring in the hospital as the economic burden of exudative AMD during a 2-year follow-up period using 4 categories: total medical cost, reimbursement cost, nonreimbursement cost, and out-of-pocket cost. To estimate the average cost by adjusting the confounding variable and overcoming the positive skewness of costs, we used an exponential conditional model with a generalized linear model. We identified 931 patients with exudative AMD and matched 783 (84.1%) with 2918 patients with nonexudative AMD. In the exponential conditional model, the total medical, reimbursement, nonreimbursement, and out-of-pocket incremental costs were estimated at US $3426, US $3130, US $366, and US $561, respectively, in the first year and US $1829, US $1461, US $373, and US $507, respectively, in the second year. All incremental costs in the exudative AMD group were 1.89 to 4.25 and 3.50 to 5.09 times higher in the first and second year, respectively, than those in the control group (P<.001 in all cases). Exudative AMD had a significantly greater economic impact (P<.001) for 2 years on reimbursement, nonreimbursement, and out-of-pocket costs than nonexudative AMD after adjusting for baseline demographic and clinical characteristics using the OMOP CDM. Although economic policies could relieve the economic burden of patients with exudative AMD over time, the out-of-pocket cost of exudative AMD was still higher than that of nonexudative AMD for 2 years. Our findings support the need for expanding reimbursement strategies for patients with exudative AMD given the significant economic burden faced by patients with incurable and fatal diseases both in South Korea and worldwide.

Adverse COVID-19 outcomes in American Veterans with age-related macular degeneration: a case–control study

ObjectivesPrior studies suggest that patients with age-related macular degeneration (AMD) have poorer COVID-19 outcomes. This study aims to evaluate whether AMD is associated with adverse COVID-19 outcomes in a large...

Association of NLRPs with pathogenesis of dry age-related macular degeneration.

Age-related macular degeneration (AMD) is the leading cause of blindness in the elderly population, and Dry AMD is the most common clinical subtype. However, effective measures for the early diagnosis and treatment of dry AMD have not been proposed. In recent years, NOD-like receptors (NLRs) have received attention in the study of AMD as an important class of pattern recognition receptors. We attempted to elucidate the pathogenesis of NLRs in dry AMD from the perspective of chronic inflammation. This study involved 13 patients with dry AMD, 10 age- and sex-matched normal population without any history of disease and 8 patients with wet AMD as controls. Using RT-qPCR, the mRNA expression levels of NLRs in peripheral blood peripheral blood mononuclear cells (PBMCs) were compared to analyze the statistical differences in the expression contents among the three populations. The relative RNA expression of nucleotide-binding oligomerization-like receptor protein 12 (NLRP12) with negative regulation of inflammation was significantly lower in dry AMD patients than in normal people and wet AMD patients. And NLRX1, which also has an anti-inflammatory effect, was lower in dry AMD patients than in wet AMD patients. However, NLRP3 with proinflammatory effect was significantly expressed in wet AMD. The significant decrease in NLRP12 in dry AMD may become a breakthrough in the study of dry AMD and systemic chronic inflammatory response. However, NLRP3 may have a more important role in wet AMD.

Anti-Vascular Endothelial Growth Factor Drugs for Age-Related Macular Degeneration

What Is the Issue?&#x0D; &#x0D; Wet age-related macular degeneration (AMD) is a serious health concern that causes reduced vision-related function, poor overall quality of life, and increased health care resource usage.&#x0D; Anti-vascular endothelial growth factor (VEGF) drugs are the first-line treatment for wet AMD, and they are injected into the eye. These drugs can slow disease progression but are expensive and require trained medical professionals to administer and monitor treatment response.&#x0D; The criteria for initial injection, maintenance, and discontinuation of anti-VEGF drugs in patients with wet AMD remain unclear.&#x0D; &#x0D; What Did We Do?&#x0D; &#x0D; To inform decisions about the appropriate use of anti-VEGF drugs to treat adults with wet AMD, CADTH sought to identify and summarize recommendations about criteria for the diagnosis of wet AMD and best practices for subsequent treatment with anti-VEGF drugs.&#x0D; An information specialist searched the peer-reviewed and grey literature for clinical practice guidelines published since 2018.&#x0D; &#x0D; What Did We Find?&#x0D; &#x0D; Three evidence-based guidelines recommend optical coherence tomography (OCT) to assess patients with suspected wet AMD. The National Institute for Health and Care Excellence (NICE) guidelines then strongly recommend fundus fluorescein angiography only when OCT does not exclude neovascular disease.&#x0D; The evidence-based guidelines recommend anti-VEGF drugs for wet or neovascular AMD in adults, particularly for patients with recent disease progression. One guideline suggests starting anti-VEGF treatment as soon as possible once the diagnosis of wet AMD is made.&#x0D; The NICE guideline suggests that there may not be any clinically significant distinctions in the effectiveness and safety of various anti-VEGF treatments, including aflibercept, bevacizumab, and ranibizumab, indicating a need for an individualized approach when selecting specific anti-VEGF drugs. However, 1 guideline is inconsistent with NICE, as it suggests choosing bevacizumab first.&#x0D; During the maintenance phase of using anti-VEGF drugs, it is important to closely monitor the patient's response and the disease activity and adjust the injection intervals accordingly.&#x0D; Guidelines recommend taking an individualized approach and emphasizing active patient involvement in switching and discontinuing anti-VEGF drugs for adults with wet AMD.&#x0D; Guidelines or guidance documents without a literature search or unclear methods provided generally consistent recommendations with the included evidence-based guidelines.&#x0D; We did not identify any evidence-based guidelines regarding the use of faricimab or brolucizumab. However, NICE published technology appraisals supporting the use of recently approved anti-VEGF drugs (faricimab and brolucizumab) as alternative options for patients who meet similar criteria for treatment with bevacizumab or aflibercept, and under agreed pricing conditions.&#x0D; &#x0D; What Does It Mean?&#x0D; &#x0D; All identified guidelines consistently recommend anti-VEGF drugs for adults with wet active AMD, with some providing guidance on the use of OCT and other ophthalmological assessments to identify criteria for starting and adjusting treatment.&#x0D; These guidelines recommend personalized and patient-centred approaches for selecting, switching, and discontinuing anti-VEGF medications. Cost is also a crucial factor in decision-making, especially for aflibercept, ranibizumab, and recently approved anti-VEGF drugs such as faricimab and brolucizumab.&#x0D; Further research and evidence-based guidelines are necessary to confirm whether newer drugs can be used in similar situations as older drugs.&#x0D;

Abnormal functional connectivity strength in age-related macular degeneration patients: a fMRI study.

Age-related macular degeneration (AMD) is a serious blinding eye disease. Previous neuroimaging studies reported that AMD were accompanied by abnormalities of the brain. However, whether AMD patients were associated with functional connectivity strength (FCS) or not remains unknown. In our study, the purpose of the study was to assess FCS changes in AMD patients. In our study, 20 AMD patients and 20 healthy controls (HCs), matched closely by sex, age, and educational level were underwent MRI scanning. FCS method and seed-based functional connectivity (FC) method were applied to investigate the functional network changes between two groups. Moreover, support vector machine (SVM) method was applied to assess the FCS maps as a feature to classification of AMD diseases. Our study reported that AMD patients showed decreased FCS values in the bilateral calcarine, left supplementary motor area, left superior parietal lobule and left paracentral lobule (ParaL) relative to the HC group. Meanwhile, our study found that the AMD patients showed abnormal FC within visual network, sensorimotor network and default mode network. Moreover, the SVM method showed that FCS maps as machine learning features shows good classification efficiency (area under curve = 0.82) in the study. Our study demonstrated that AMD patients showed abnormal FCS with the visual network, sensorimotor network and default mode network, which might reflect the impaired vision, cognition and motor function in AMD patients. In addition, FCS indicator can be used as an effective biological marker to assist the clinical diagnosis of AMD.

Automatic detection and differential diagnosis of age-related macular degeneration from color fundus photographs using deep learning with hierarchical vision transformer

Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly, highlighting the need for early and accurate detection. In this study, we proposed DeepDrAMD, a hierarchical vision transformer-based deep learning model that integrates data augmentation techniques and SwinTransformer, to detect AMD and distinguish between different subtypes using color fundus photographs (CFPs). The DeepDrAMD was trained on the in-house WMUEH training set and achieved high performance in AMD detection with an AUC of 98.76% in the WMUEH testing set and 96.47% in the independent external Ichallenge-AMD cohort. Furthermore, the DeepDrAMD effectively classified dryAMD and wetAMD, achieving AUCs of 93.46% and 91.55%, respectively, in the WMUEH cohort and another independent external ODIR cohort. Notably, DeepDrAMD excelled at distinguishing between wetAMD subtypes, achieving an AUC of 99.36% in the WMUEH cohort. Comparative analysis revealed that the DeepDrAMD outperformed conventional deep-learning models and expert-level diagnosis. The cost-benefit analysis demonstrated that the DeepDrAMD offers substantial cost savings and efficiency improvements compared to manual reading approaches. Overall, the DeepDrAMD represents a significant advancement in AMD detection and differential diagnosis using CFPs, and has the potential to assist healthcare professionals in informed decision-making, early intervention, and treatment optimization.

Atrophic Lesions Associated with Age-Related Macular Degeneration: High-Resolution versus Standard OCT

ObjectiveThe objective of this study was to determine whether high-resolution optical coherence tomography (HR-OCT) could enhance the identification and classification of atrophic features in age-related macular degeneration (AMD) compared to standard resolution OCT. DesignProspective, observational, cross-sectional study. SubjectsThe study included 60 eyes from 60 patients over the age of 60 with a diagnosis of AMD. MethodsThe participants underwent volume OCT scanning using HR-OCT and standard resolution OCT devices. Trained graders reviewed and graded the scans, identifying specific regions of interest for subsequent analysis. Main Outcome MeasuresThe study focused on identifying and classifying complete retinal pigment epithelium and outer retinal atrophy (cRORA), incomplete RORA (iRORA), and other non-atrophic AMD features. Additionally, qualitative and quantitative features associated with atrophy were assessed. ResultsThe agreement among readers for classifying atrophic lesions was substantial to perfect for both HR-OCT (0.88) and standard resolution OCT(0.82). However, HR-OCT showed higher accuracy in identifying iRORA lesions compared to standard OCT. Qualitative assessment of features demonstrated higher agreement for HR-OCT, particularly in identifying ELM (0.95) and EZ disruption (0.94). Quantitative measurements of features such as hypertransmission defects, RPE attenuation/disruption, EZ disruption width, and ELM disruption width showed excellent inter-reader agreement with HR-OCT (> 0.90 for all features) but only moderate agreement with standard OCT (0.51-0.60). ConclusionsThe study results suggest that HR-OCT improves the accuracy and reliability of classifying and quantifying atrophic lesions associated with AMD compared to standard resolution OCT. The quantitative findings in particular may have implications for future research and clinical practice, especially with the availability of therapeutic agents for treating geographic atrophy (GA) and the development of commercially available HR-OCT devices.

Correlation of the OCT Double-Layer Sign with Type 1 Non-Exudative Neovascularization on OCT-A in Age-Related Macular Degeneration.

Background and Objectives: Early diagnosis of the exudative form of age-related macular degeneration (AMD) is very important for a timely first treatment, which is directly related to the preservation of functional visual acuity over a long period. The goal of this paper was to examine the correlation between the double-layer sign (DLS) and the presence of non-exudative macular neovascularization (MNV). Materials and Methods: Our research included 60 patients with AMD, exudative in one eye and non-exudative in the other eye. We analyzed only the non-exudative form using optical coherence tomography (OCT) and optical coherence tomography angiography (OCT-A). The patients were classified into three groups, depending on the duration of the disease (<2 years, 2 to 5 years, >5 years). The onset of the disease was deemed the moment of establishing a diagnosis of exudative AMD in one eye. We defined the presence or absence of a DLS using OCT and the presence of non-exudative MNV using OCT-A, both on 3 × 3 mm and 6 × 6 mm sections. DLS was used as a projection biomarker for non-exudative MNV, with the aim of establishing a rapid diagnosis and achieving early treatment of the disease. Results: We found that there was a statistically significant correlation between the DLS diagnosed using OCT and non-exudative MNV diagnosed by OCT-A for both 3 × 3 mm (p < 0.001) and 6 × 6 mm (p < 0.001) imaging. There was a statistically significant difference between the frequencies of both DLS and MNV in Groups I and III on both 3 × 3 and 6 × 6 mm imaging. A statistically significant difference was also noted in the frequencies of DLS and MNV on 6 × 6 mm imaging, but not on 3 × 3 mm imaging, between Groups I and II. No differences were found between the frequencies of DLS and MNV between Groups II and III. Conclusions: The DLS on OCT can be used as a projection biomarker to assess the presence of a non-exudative MNV.

Federated learning for diagnosis of age-related macular degeneration.

This paper presents a federated learning (FL) approach to train deep learning models for classifying age-related macular degeneration (AMD) using optical coherence tomography image data. We employ the use of residual network and vision transformer encoders for the normal vs. AMD binary classification, integrating four unique domain adaptation techniques to address domain shift issues caused by heterogeneous data distribution in different institutions. Experimental results indicate that FL strategies can achieve competitive performance similar to centralized models even though each local model has access to a portion of the training data. Notably, the Adaptive Personalization FL strategy stood out in our FL evaluations, consistently delivering high performance across all tests due to its additional local model. Furthermore, the study provides valuable insights into the efficacy of simpler architectures in image classification tasks, particularly in scenarios where data privacy and decentralization are critical using both encoders. It suggests future exploration into deeper models and other FL strategies for a more nuanced understanding of these models' performance. Data and code are available at https://github.com/QIAIUNCC/FL_UNCC_QIAI.