Abstract: Dramatic advances in retinal imaging technology over the last two decades have significantly improved our understanding of the natural history and pathophysiology of non-neovascular age-related macular degeneration (AMD). Currently, aside from micronutrient supplements, there are no proven treatments for non-neovascular or dry AMD. Recently, a number of pharmacological agents have been evaluated or are under evaluation for treatment of patients with end-stage dry AMD manifesting as geographic atrophy (GA). It may preferable, however, to intervene earlier in the disease before the development of irreversible loss of visual function. Earlier intervention would require a more precise understanding of biomarkers which may increase the risk of progression from early and intermediate stages to the late stage of the disease. The development of optical coherence tomography angiography (OCTA) has allowed the layers of the retinal microcirculation and choriocapillaris (CC) to be visualized and quantified. Flow deficits in the CC have been observed to increase with age, particularly centrally, and these flow deficits appear to worsen with development and progression of AMD. As such, OCTA-based CC assessment appears to be a valuable new biomarker in our assessment and risk-stratification of AMD. Alterations in the CC may also provide new insights into the pathophysiology of the disease. Enhancement of choriocapillaris function may also prove to be a target of future therapeutic strategies or as a biomarker to monitor the effectiveness of therapy. As such, CC imaging may be anticipated to be an integral tool in the management of dry AMD.
Abstract: Several factors drive the need for increased efficiency in telemedicine screening programs directed toward diabetic retinopathy: continually increasing prevalence of diabetes worldwide, growing awareness among physicians and patients of the importance of early detection of retinal damage, and emerging technology in artificial intelligence that enables rapid identification of vision-threatening fundus features. In this context, optimizing workflows in teleretinopathy programs becomes a priority. Recent work has revealed opportunities for improvement in areas of logistics, in particular in finding the best way to get diabetic patients in front of screening cameras as conveniently as possible, as this improves compliance and, ultimately, achieves the widest reach for detection programs. The present review discusses particular aspects of mobile screening programs in which specialized retinal cameras are deployed in a van or similar type of vehicle so that they can reach patients anywhere in order to reduce barriers to access. The rationale for implementing such programs and practical considerations are presented, along with a view toward future expansion of screening and integration with artificial intelligence platforms. Lacking standardization of format and quality control among smartphone-linked approaches at present, translation of eye clinic-based photographic techniques to community-based screening offers a means of expanding the scope of impactful screening programs without the need for adoption of significantly new technology.
Abstract: The objective of the paper is to provide a general view for automatic cup to disc ratio (CDR) assessment in fundus images. As for the cause of blindness, glaucoma ranks as the second in ocular diseases. Vision loss caused by glaucoma cannot be reversed, but the loss may be avoided if screened in the early stage of glaucoma. Thus, early screening of glaucoma is very requisite to preserve vision and maintain quality of life. Optic nerve head (ONH) assessment is a useful and practical technique among current glaucoma screening methods. Vertical CDR as one of the clinical indicators for ONH assessment, has been well-used by clinicians and professionals for the analysis and diagnosis of glaucoma. The key for automatic calculation of vertical CDR in fundus images is the segmentation of optic cup (OC) and optic disc (OD). We take a brief description of methodologies about the OC and disc optic segmentation and comprehensively presented these methods as two aspects: hand-craft feature and deep learning feature. Sliding window regression, super-pixel level, image reconstruction, super-pixel level low-rank representation (LRR), deep learning methodologies for segmentation of OD and OC have been shown. It is hoped that this paper can provide guidance and bring inspiration to other researchers. Every mentioned method has its advantages and limitations. Appropriate method should be selected or explored according to the actual situation. For automatic glaucoma screening, CDR is just the reflection for a small part of the disc, while utilizing comprehensive factors or multimodal images is the promising future direction to furthermore enhance the performance.
Abstract: The most prominent causes of loss of vision in individuals over 50 years include age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR). While it is important to screen for these diseases effectively, current eye care is not properly doing so for much of the population, resulting in unfortunate visual disability and high costs for patients. Innovative functional testing can be unified with other screening methods for a more robust and safer screening and prediction of disease. The goal in the creation of functional testing modalities is to develop highly sensitive screening tests that are easy to use, accessible to all users, and inexpensive. The tests herein are deployed on an iPad with easily understood and intuitive instructions for rapid, streamlined, and automatic administration. These testing modalities could become highly sensitive screenings for early detection of potentially blinding diseases. The applications from our collaborators at AMA Optics include a cone photostress recovery test for detection of AMD and diabetic macular edema (DME), brightness balance perception for optic nerve dysfunction and especially glaucoma, color vision testing which is a broad screening tool, and visual acuity test. Machine learning with the combined structural and functional data will optimize identification of disease and prediction of outcomes. Here, we review and assess various tests of visual function that are easily administered on a tablet for screening in primary care. These user-friendly and simple screening tests allow patients to be identified in the early stages of disease for referral to specialists, proper assessment and treatment.
Abstract: Pediatric glaucoma is a potentially sight-threatening disease and is considered the second leading cause of treatable childhood blindness. Pediatric glaucoma is a clinical entity including a wide range of conditions: primary congenital glaucoma, glaucoma secondary to ocular (e.g., aniridia, Peter’s anomaly), or systemic disease (e.g., Sturge Weber) and glaucoma secondary to acquired condition (pseudophakic, traumatic, uveitic glaucoma). The treatment algorithm of childhood glaucoma is a step-by-step approach, often starting with surgery, as in primary congenital glaucoma cases. Medical therapy is also crucial in the management of pediatric glaucoma. Here we reported the results of the randomized, controlled, clinical trials carried out in children treated with topical anti-glaucoma drugs. It is worth knowing that prostaglandin analogues showed an excellent systemic safety profile, while serious systemic events have been reported in children taking topical beta-blockers. Angle surgery is the first surgical option in patients diagnosed with primary congenital glaucoma, with ab interno and ab externo approaches showing similar outcomes. Trabeculectomy in children can be troublesome, as mitomycin C (MMC) can lead to bleb complications and a higher endophthalmitis rate than in adults. Glaucoma drainage devices (GDD) are no longer a last resort and can be considered a suitable option for the management of uncontrolled pediatric glaucoma after angle surgery failure.
Abstract: Our increase in knowledge of the pathophysiology of non-infectious uveitis (NIU) and other immune-mediated diseases has been mirrored over the last two decades by the expansion of therapeutic options in the realm of immunosuppressive medications. Principal among these advances is the emergence of biologics, which offer the promise of targeted therapy and the hope of reduced toxicity when compared to corticosteroids and “standard” immunosuppression. Among the biologics, monoclonal antibodies blocking tumor necrosis factor alpha (TNF-α) have been shown to be a very effective therapeutic target for uveitis and many associated systemic inflammatory diseases. Multiple TNF blockers have shown benefit for uveitis, and in 2016, adalimumab became the first biologic and non-corticosteroid immunosuppressive to obtain Food and Drug Administration (FDA) approval in the treatment of NIU. Although effective, TNF blockers are not universally so, and safety concerns such as infection and demyelinating disease must be carefully considered and ruled out prior to their use, especially in patients with intermediate uveitis with which multiple sclerosis is a known association. Ongoing study has identified novel targets for regulation in the treatment of immune-mediated and inflammatory diseases. Interferons, interleukin and Janus kinase inhibitors in addition to antibodies targeting T cell and B cell activation highlight the expanding field of treatment modalities in NIU. Ongoing study will be required to better determine the safety and efficacy of biologics in the armamentarium of immunosuppressive treatments for NIU.
