Are Age-related Macular Degeneration Research Articles

Optimal Deep Learning Architecture for Automated Segmentation of Cysts in OCT Images Using X-Let Transforms.

The retina is a thin, light-sensitive membrane with a multilayered structure found in the back of the eyeball. There are many types of retinal disorders. The two most prevalent retinal illnesses are Age-Related Macular Degeneration (AMD) and Diabetic Macular Edema (DME). Optical Coherence Tomography (OCT) is a vital retinal imaging technology. X-lets (such as curvelet, DTCWT, contourlet, etc.) have several benefits in image processing and analysis. They can capture both local and non-local features of an image simultaneously. The aim of this paper is to propose an optimal deep learning architecture based on sparse basis functions for the automated segmentation of cystic areas in OCT images. Different X-let transforms were used to produce different network inputs, including curvelet, Dual-Tree Complex Wavelet Transform (DTCWT), circlet, and contourlet. Additionally, three different combinations of these transforms are suggested to achieve more accurate segmentation results. Various metrics, including Dice coefficient, sensitivity, false positive ratio, Jaccard index, and qualitative results, were evaluated to find the optimal networks and combinations of the X-let's sub-bands. The proposed network was tested on both original and noisy datasets. The results show the following facts: (1) contourlet achieves the optimal results between different combinations; (2) the five-channel decomposition using high-pass sub-bands of contourlet transform achieves the best performance; and (3) the five-channel decomposition using high-pass sub-bands formations out-performs the state-of-the-art methods, especially in the noisy dataset. The proposed method has the potential to improve the accuracy and speed of the segmentation process in clinical settings, facilitating the diagnosis and treatment of retinal diseases.

Development of an electrospun poly(\u03b5-caprolactone)/collagen-based human amniotic membrane powder scaffold for culturing retinal pigment epithelial cells

The common retinal diseases are age-related macular degeneration (AMD) and retinitis pigmentosa (RP). They are usually associated with the dysfunction of retinal pigment epithelial (RPE) cells and degeneration of underlying Bruch’s membrane. The RPE cell transplantation is the most promising therapeutic option to restore lost vision. This study aimed to construct an ultrathin porous fibrous film with properties similar to that of native Bruch’s membrane as carriers for the RPE cells. Human amniotic membrane powder (HAMP)/Polycaprolactone (PCL) scaffolds containing different concentrations of HAMP were fabricated by electrospinning technique. The results showed that with increasing the concentration of HAMP, the diameter of fibers increased. Moreover, hydrophilicity and degradation rate were improved from 119° to 92° and 14 to 56% after 28 days immersion in phosphate-buffered saline (PBS) solution, respectively. All scaffolds had a porosity above 85%. Proper cell adhesion was obtained one day after culture and no toxicity was observed. However, after seven days, the rate of growth and proliferation of ARPE-19 cells, a culture model of RPE, on the PCL-30HAMP scaffold (HAMP concentration in PCL 7.2% by weight) was higher compared to other scaffolds. These results indicated that PCL-30HAMP fibrous scaffold has a great potential to be used in retinal tissue engineering applications.

POSA251 Demand and Availability of Intravenous Injections for Patients with Retinal Diseases in the Russian Federation

Retinal diseases is one of the leading causes of blindness and impairment in Russia (25% of all cases of visual impairment). The most common retinal diseases that cause impairment are age-related macular degeneration (AMD) and diabetic macular edema (DME) with diabetic retinopathy. According to the Russian clinical guidelines, the first-line therapy for AMD and DME surgical treatment is intravenous injection. This study aims to estimate the availability of anti-VEGF treatment for patients with AMD and DME and demand for intravitreal injections (IVI) in the Russian Federation.

A Mini Review: Moving iPSC-Derived Retinal Subtypes Forward for Clinical Applications for Retinal Degenerative Diseases.

Patient-derived human-induced pluripotent stem cells (iPSCs) have been critical in advancing our understanding of the underlying mechanisms of numerous retinal disorders. Many of these retinal disorders have no effective treatment and result in severe visual impairment and even blindness. Among the retinal degenerative diseases modeled by iPSCs are age-related macular degeneration (AMD), glaucoma, Leber congenital amaurosis (LCA), retinitis pigmentosa (RP), and autosomal dominant retinitis pigmentosa (adRP). In addition to studying retinal disease ontogenesis and pathology, hiPSCs have clinical and pharmacological applications, such as developing drug screening and gene therapy approaches and new cell-based clinical treatments. Recent studies have primarily focused on three retinal cell fates- retinal pigmented epithelium cells (RPE), retinal ganglion cells (RGCs), and photoreceptor cells- and have demonstrated that hiPSCs have great potential for increasing our knowledge of and developing treatments for retinal degenerative disorders.

Intraretinal fluid identification via enhanced maps using optical coherence tomography images.

Nowadays, among the main causes of blindness in developed countries are age-related macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases present, as a common symptom, the appearance of cystoid fluid regions inside the retinal layers. Optical coherence tomography (OCT) image modality was one of the main medical imaging techniques for the early diagnosis and monitoring of AMD and DME via this intraretinal fluid detection and characterization. We present a novel methodology to identify these fluid accumulations by means of generating binary maps (offering a direct representation of these areas) and heat maps (containing the region confidence). To achieve this, a set of 312 intensity and texture-based features were studied. The most relevant features were selected using the sequential forward selection (SFS) strategy and tested with three archetypal classifiers: LDC, SVM and Parzen window. Finally, the most proficient classifier is used to create the proposed maps. All of the tested classifiers returned satisfactory results, the best classifier achieving a mean test accuracy higher than 94% in all of the experiments. The suitability of the maps was evaluated in a context of a screening issue with three different datasets obtained with two different devices, testing the capabilities of the system to work independently of the used OCT device. The experiments with the map creation were performed using 323 OCT images. Using only the binary maps, more than 91.33% of the images were correctly classified. With only the heat maps, the proposed methodology correctly separated 93.50% of the images.

Subsurface Femtosecond Tissue Alteration: Selectively Photobleaching Macular Degeneration Pigments in Near Retinal Contact

This paper uses advances in the ultrafast manipulation of light to address a general need in medicine for a clinical approach that can provide a solution to a variety of disorders requiring subsurface tissue manipulation with ultralow collateral damage. Examples are age-related macular degeneration (AMD), fungal infections, tumors surrounded by overlying tissue, cataracts, etc. Although lasers have revolutionized the use of light in clinical settings, most lasers employed in medicine cannot address such problems of depth-selective tissue manipulation. This arises from the fact that they are mostly based on one photon based laser tissue interactions that provide a cone of excitation where the energy density is sufficiently high to excite heat or fluorescence in the entire cone. Thus, it is difficult to excite a specific depth of a tissue without affecting the overlying surface. However, the advent of femtosecond (fs) lasers has caused a revolution in multiphoton microscopy (Zipfel et al. Nat. Biotechnol. 2003, 21, 1369-1377; Denk et al. Science 1990, 248, 73-76) and fabrication (Kawata et al. Nature 2001, 412, 697-698). With such lasers, the photon energy density is only high enough for multiphoton processes in the focal volume, and this opens a new direction to address subsurface tissue manipulation. Here we show in an AMD animal model, Ccr2 KO knockout mutant mice, noninvasive, selective fs two-photon photobleaching of pigments associated with AMD that accumulate under and in ultraclose proximity to the overlying retina. Pathological evidence is presented that indicates the lack of collateral damage to the overlying retina or other surrounding tissue.

Bacteriorhodopsin and its Mutants allude a breakthrough impending to artificial retina construction and strategies for curing blindness

Bacteriorhodopsin, a model system in nanobiotechnology, is a light-sensitive protein found in the archaean Halobacterium salinarum and a very identical protein to visual Rhodopsin. The modification of biological function of BR and its versatile properties is valuable for technical applications including the artificial retina. These photoactive elements of native and particular mutants of bacteriorhodopsin make protein films, used in artificial retinal implants, to treat some retinal diseases and disorders. The two major reasons of retinal photoreceptor cell deterioration are Age-related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP). As in vitro culture of Halobacterium is very difficult, and isolation procedure is much time consuming and usually inefficient, so genetic construction of protein is essential. Here, we have produced two types of bacteriorhodopsin, a native and a mutant BR (D85E) and studied their opto-electric responses with respect to wavelength and absorption properties. They are prerequisite for designing artificial retina (sensors) based on biomolecules. Therefore, the new promising technology soon will conceivably eradicate the blindness.

A poke in the eye.

Loss of vision is a common problem in older adults and can result in functional impairment and accidental injury. The four most common causes of vision loss in this age group are age-related macular degeneration (AMD), cataracts, glaucoma, and diabetic retinopathy, and on page 16 Dr David Pountney gives an excellent overview of the current state of affairs for AMD treatment.

Vascular and Cellular Targeting for Photodynamic Therapy

Photodynamic therapy (PDT) involves the combination of photosensitizers (PS) with light as a treatment, and has been an established medical practice for about 10 years. Current primary applications of PDT are age-related macular degeneration (AMD) and several types of cancer and precancer. Tumor vasculature and parenchyma cells are both potential targets of PDT damage. The preference of vascular versus cellular targeting is highly dependent upon the relative distribution of photosensitizers in each compartment, which is governed by the photosensitizer pharmacokinetic properties and can be effectively manipulated by the photosensitizer drug administration and light illumination interval (drug-light interval) during PDT treatment, or by the modification of photosensitizer molecular structure. PDT using shorter PS-light intervals mainly targets tumor vasculature by confining photosensitizer localization within blood vessels, whereas if the sensitizer has a reasonably long pharmacokinetic lifetime, then PDT at longer PS-light intervals can induce more tumor cellular damage, because the photosensitizer has then distributed into the tumor cellular compartment. This passive targeting mechanism is regulated by the innate photosensitizer physicochemical properties. In addition to the passive targeting approach, active targeting of various tumor endothelial and cellular markers has been studied extensively. The tumor cellular markers that have been explored for active photodynamic targeting are mainly tumor surface markers, including growth factor receptors, low-density lipoprotein (LDL) receptors, transferrin receptors, folic acid receptors, glucose transporters, integrin receptors, and insulin receptors. In addition to tumor surface proteins, nuclear receptors are targeted, as well. A limited number of studies have been performed to actively target tumor endothelial markers (ED-B domain of fibronectin, VEGF receptor-2, and neuropilin-1). Intracellular targeting is a challenge due to the difficulty in achieving sufficient penetration into the target cell, but significant progress has been made in this area. In this review, we summarize current studies of vascular and cellular targeting of PDT after more than 30 years of intensive efforts.