A Comparison of Radial and Horizontal Macular Optical Coherence Tomography on Detection of Macular Pathology: A Prospective Study at an Academic Institution.

Purpose: Optical coherence tomography (OCT) is useful in diagnosing and monitoring retinal pathology such as age-related macular degeneration, diabetic macular edema (DME), central serous chorioretinopathy, and epiretinal membrane, among others. This study compared the ability of horizontal (H) 25-, 13-, and 7-cut macular OCT vs 24-, 12-, and 6-cut radial (R) macular OCT in identifying various macular pathology. Methods: This was a prospective study of 161 established patients evaluated at Wilford Hall Eye Center Retina Clinic between September and October of 2019. Pathology included age-related macular degeneration, central serous chorioretinopathy, DME, and epiretinal membrane, among others. Patients obtained 25-, 13-, and 7-cut H raster OCT as well as 24-, 12-, and 6-cut R OCT. Primary outcomes were sensitivity in detecting macular fluid and each macular abnormality. Results: The 24-cut radial (R24) OCT equally or out-performed the H25 (horizontal 25-cut OCT) in detecting macular fluid across all pathological groups. Generally, a higher number of cuts correlated with better detection of fluid. In detecting any macular abnormalities, H25, R24, and R12 had 100% sensitivity. R6 OCT had near 100% sensitivity across all groups, except for DME (95%). Overall, R OCT had better sensitivity (0.960) than H OCT (0.907) in detecting macular pathology. Conclusions: R outperformed H macular OCT in detecting fluid and other abnormalities. Clinically, both scanning patterns can be used by ophthalmologists in diagnosis and management of commonly encountered macular diseases. Technicians may be able to use a variety of these scans to screen for pathology prior to physician evaluation.

A History of Anti-VEGF Inhibitors in the Ophthalmic Literature: A Bibliographic Review.

Purpose: This work aimed to analyze the 100 most-cited articles on antivascular endothelial growth factor (anti-VEGF) inhibitors. Methods: A literature search for anti-VEGF inhibitors using the Web of Science was completed using the bibliographic databases for peer-reviewed literature published in Ophthalmology, the New England Journal of Medicine, Journal of the American Medical Association, and Lancet. Primary outcomes were the most frequently cited articles and journals with the most citations as well as the specific drug and disease process studied. Results: There were 42 696 cumulative citations among the top 100 articles. The articles were published between 2004 to 2016, with most articles published in 2006. Ophthalmology published the greatest number of articles among the top 100 at 48, whereas the New England Journal of Medicine has the most citations per publication at 1714. Ranibizumab was the medication researched in most articles at 56, followed by bevacizumab at 48, aflibercept at 10, and pegaptanib at 9. Forty-two articles investigated treatment of age-related macular degeneration, followed by 24 investigating diabetic macular edema, 10 for retinal vein occlusion, 8 for proliferative diabetic retinopathy, 2 for retinopathy of prematurity and polypoidal choroidal vasculopathy, and 1 for corneal neovascularization. Conclusions: As evidenced by the considerable number of citations accumulated over the past 20 years, anti-VEGF inhibitors have led to significant research in ophthalmology.

Patterns and prognosis of commotio retinae in orbital wall fractures.

PURPOSE: Orbital wall fractures are a significant cause of ocular injury in trauma and are associated with posterior segment pathology. This study aims to characterize patterns and prognosis of commotio retinae following orbital wall fracture. METHODS: This study is a retrospective analysis of 294 orbital wall fractures diagnosed by computed tomography imaging from August 2015 to October 2016 at a Level 1 trauma center. Dilated funduscopic exams were assessed for acute posterior segment pathology, focusing specifically on commotio retinae (N = 38). These were compared with patients with no traumatic retinal findings (N = 253) to indicate statistically significant differences in the mechanism of injury, fracture pattern, subjective symptoms, radiologic and exam findings, and acute interventions. RESULTS: Commotio was most commonly associated with assault (60.5%, p = 0.004) in a younger patient population, whereas normal retinal exams were more likely after falls from standing (24.1%, p = 0.022). Half of all commotio was found inferiorly and most commonly occurred in medial or inferior wall fracture. Patients with commotio were more likely to have motility deficits (29.7%, p = 0.049) with clinical evidence of entrapment (13.2%, p < 0.001), requiring acute operative repair (15.8%, p = 0.005). Inferior wall fracture was associated with 19.4% surgical intervention in commotio as compared with those with normal funduscopic exams (6.1%, p = 0.012). All patients with follow-up had resolution of commotio and best-corrected visual acuity of 20/25 or better. CONCLUSION: Retinal pathology is not infrequent in orbital wall fractures. Inferior wall fracture was associated with 19.4% surgical intervention in commotio as compared to those with normal funduscopic exams (6.1%, p = 0.012). A high index of suspicion and thorough investigation is warranted in evaluating these patients.

Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms.

This paper presents a fully automated algorithm to segment fluid-associated (fluid-filled) and cyst regions in optical coherence tomography (OCT) retina images of subjects with diabetic macular edema. The OCT image is segmented using a novel neutrosophic transformation and a graph-based shortest path method. In neutrosophic domain, an image is transformed into three sets: (true), (indeterminate) that represents noise, and (false). This paper makes four key contributions. First, a new method is introduced to compute the indeterminacy set , and a new -correction operation is introduced to compute the set in neutrosophic domain. Second, a graph shortest-path method is applied in neutrosophic domain to segment the inner limiting membrane and the retinal pigment epithelium as regions of interest (ROI) and outer plexiform layer and inner segment myeloid as middle layers using a novel definition of the edge weights . Third, a new cost function for cluster-based fluid/cyst segmentation in ROI is presented which also includes a novel approach in estimating the number of clusters in an automated manner. Fourth, the final fluid regions are achieved by ignoring very small regions and the regions between middle layers. The proposed method is evaluated using two publicly available datasets: Duke, Optima, and a third local dataset from the UMN clinic which is available online. The proposed algorithm outperforms the previously proposed Duke algorithm by 8% with respect to the dice coefficient and by 5% with respect to precision on the Duke dataset, while achieving about the same sensitivity. Also, the proposed algorithm outperforms a prior method for Optima dataset by 6%, 22%, and 23% with respect to the dice coefficient, sensitivity, and precision, respectively. Finally, the proposed algorithm also achieves sensitivity of 67.3%, 88.8%, and 76.7%, for the Duke, Optima, and the university of minnesota (UMN) datasets, respectively.

Fully-automated segmentation of fluid regions in exudative age-related macular degeneration subjects: Kernel graph cut in neutrosophic domain.

A fully-automated method based on graph shortest path, graph cut and neutrosophic (NS) sets is presented for fluid segmentation in OCT volumes for exudative age related macular degeneration (EAMD) subjects. The proposed method includes three main steps: 1) The inner limiting membrane (ILM) and the retinal pigment epithelium (RPE) layers are segmented using proposed methods based on graph shortest path in NS domain. A flattened RPE boundary is calculated such that all three types of fluid regions, intra-retinal, sub-retinal and sub-RPE, are located above it. 2) Seed points for fluid (object) and tissue (background) are initialized for graph cut by the proposed automated method. 3) A new cost function is proposed in kernel space, and is minimized with max-flow/min-cut algorithms, leading to a binary segmentation. Important properties of the proposed steps are proven and quantitative performance of each step is analyzed separately. The proposed method is evaluated using a publicly available dataset referred as Optima and a local dataset from the UMN clinic. For fluid segmentation in 2D individual slices, the proposed method outperforms the previously proposed methods by 18%, 21% with respect to the dice coefficient and sensitivity, respectively, on the Optima dataset, and by 16%, 11% and 12% with respect to the dice coefficient, sensitivity and precision, respectively, on the local UMN dataset. Finally, for 3D fluid volume segmentation, the proposed method achieves true positive rate (TPR) and false positive rate (FPR) of 90% and 0.74%, respectively, with a correlation of 95% between automated and expert manual segmentations using linear regression analysis.