Faculty Bibliography

Background/UNASSIGNED:Aneurysmal type 1 neovascularization (AT1) is a term recently introduced to better describe the aneurysmal dilatation that may arise from neovascular lesions, more commonly known as polypoidal choroidal vasculopathy. The proposed term, AT1, includes an expanded clinical spectrum of aneurysmal (polypoidal) lesions observed in both different ethnicities and associated with varied clinical phenotypes. Case presentation/UNASSIGNED:A 61-year-old woman of European descent was referred for a new, asymptomatic retinal hemorrhage found on routine examination. Ophthalmoscopy revealed cuticular drusen in both eyes best appreciated on fundus autofluorescence, and a hemorrhagic retinal pigment epithelium detachment above the superior arcade in the right eye. In the fellow eye, a reddish appearing pigment epithelial detachment was noted nasal to the optic nerve. Indocyanine green angiography showed findings of AT1 in both eyes. Optical coherence tomography angiography showed intrinsic flow signal within the aneurysmal lesions. Conclusions/UNASSIGNED:Eyes with cuticular drusen may develop AT1 which, to our knowledge, has not been described. This is an important observation because the documented coexistence of AT1 in the setting of a variant of age-related macular degeneration lends supports to this new understanding of AT1 as a growth pattern of neovascular tissue proliferating between the RPE and Bruch membrane, rather than as a distinct disease entity.

Drusen are lipid-, mineral-, and protein-containing extracellular deposits that accumulate between the basal lamina of the retinal pigment epithelium (RPE) and Bruch's membrane (BrM) of the human eye. They are a defining feature of age-related macular degeneration (AMD), a common sight-threatening disease of older adults. The appearance of heterogeneous internal reflectivity within drusen (HIRD) on optical coherence tomography (OCT) images has been suggested to indicate an increased risk of progression to advanced AMD. Here, in a cohort of patients with AMD and drusen, we show that HIRD indicated an increased risk of developing advanced AMD within 1 year. Using multimodal imaging in an independent cohort, we demonstrate that progression to AMD was associated with increasing degeneration of the RPE overlying HIRD. Morphological analysis of clinically imaged cadaveric human eye samples revealed that HIRD was formed by multilobular nodules. Nanoanalytical methods showed that nodules were composed of hydroxyapatite and that they differed from spherules and BrM plaques, other refractile features also found in the retinas of patients with AMD. These findings suggest that hydroxyapatite nodules may be indicators of progression to advanced AMD and that using multimodal clinical imaging to determine the composition of macular calcifications may help to direct therapeutic strategies and outcome measures in AMD.

Importance/UNASSIGNED:Analysis of collateral vessel formation following retinal vein occlusion may advance our understanding of the venous outflow anatomy in the macula. Objective/UNASSIGNED:To determine the location of collateral vessels with optical coherence tomography (OCT) angiography imaging. Design, Setting, and Participants/UNASSIGNED:Observational retrospective cohort study. Collateral vessel formation was studied with OCT angiography (OCTA) in patients with retinal vein occlusion (RVO). The study took place at 2 retinal practices (Vitreous Retina Macula Consultants of New York and Stein Eye Institute, University of California, Los Angeles), with patient records retrieved from March 2015 to August 2017. Data analysis was completed in November 2017. Exposures/UNASSIGNED:Collaterals identified with fundus photography and/or fluorescein angiography were analyzed with OCTA to determine their course through the superficial vascular plexus (SVP) and the deep vascular complex (DVC). Main Outcomes and Measures/UNASSIGNED:Collateral vessel pathways through the SVP and DVC were analyzed with cross-sectional and en face OCT and OCTA segmentation and color-coded volume renderings prepared from raw OCTA voxel data. Results/UNASSIGNED:From 23 eyes (22 branch and 1 hemispheric retinal vein occlusion ) of 23 patients (mean [SD] age, 73 [11] years), 101 collateral vessels were identified and analyzed (mean [SD], 4.4 [2.0]; range, 2-9 collateral per eye). On OCTA, the collaterals appeared as curvilinear dilated flow signals that connected veins across the horizontal raphe or veins on opposite sides of an occluded venous segment within the same retinal hemisphere. Of the 101 collaterals analyzed, all showed greater flow signal in the DVC, and all had some portion of their course identified within the DVC. No collaterals were found exclusively in the SVP. Volume renderings for 3 cases confirmed qualitatively that retinal collateral vessels course through the retina predominantly at the level of the DVC. Conclusions and Relevance/UNASSIGNED:Based on a limited number of cases, all collateral vessels associated with retinal vein occlusion were found to course through the DVC. The absence of collaterals isolated to the SVP supports a serial arrangement of the SVP and DVC, with venous drainage predominantly coursing through the DVC.

BACKGROUND AND OBJECTIVE/OBJECTIVE:To use quantitative fundus autofluorescence (qAF) to analyze different stages of non-neovascular age-related macular degeneration (AMD). PATIENTS AND METHODS/METHODS:In this cohort study, 38 pseudophakic patients and 36 age-matched controls participated. We performed near-infrared, spectral-domain optical coherence tomography and qAF imaging on 31 pseudophakic eyes and controls of participants older than 60 years with non-neovascular AMD phenotypes using the Spectralis HRA + OCT (Heidelberg Engineering, Heidelberg, Germany). RESULTS:The patients included in this study had a mean age of 83.9 years, and 35.7% patients were men. Mean qAF was higher in control participants than in all patients with AMD (P < .001). According to non-neovascular AMD phenotype, mean qAF levels were significantly lower in eyes with subretinal drusenoid deposits than in control eyes (P < .05). The lowest mean qAF was in patients with geographic atrophy. CONCLUSION/CONCLUSIONS:Quantitative fundus autofluorescence of non-neovascular AMD decreases from normal to early to late AMD, suggesting that loss of lipofuscin fluorophores, not increase, signifies AMD progression. [Ophthalmic Surg Lasers Imaging Retina. 2018;49:S34-S42.].

Objective/UNASSIGNED:To characterize features of extra-vascular optical coherence tomography angiography (OCTA) signals corresponding to hyperreflective intraretinal fluid across various exudative maculopathies. Design/UNASSIGNED:Multicenter, retrospective, observational study. Participants/UNASSIGNED:Eyes with various forms of exudative maculopathy including diabetic retinopathy (DR), retinal vein occlusion (RVO), and neovascular-age related macular degeneration (nvAMD). Methods/UNASSIGNED:OCTA images (3mm × 3mm) centered on the fovea and their corresponding structural OCT scans were used to quantify features of SSPiM and its corresponding hyperreflective fluid. Longitudinal data were collected when available. Main outcome measures/UNASSIGNED:phantom. Results/UNASSIGNED:phantom model demonstrates that particulate matter in suspension can generate similar OCTA signal. SSPiM showed an anatomic preference for vascular-avascular junctions. The hyperreflective fluid corresponding to SSPiM appeared more frequently in Henle's fiber layer (HFL) than the inner nuclear layer (INL) and was highly associated with hyperreflective material (HRM) found bordering the fluid. In five of eight longitudinal cases, the resolution of SSPiM resulted in the formation of confluent HRM. Clinically, this appeared as hard exudate on funduscopic images. Conclusions/UNASSIGNED:Clinical data suggest that SSPiM is a novel imaging feature of retinal vascular diseases that was not appreciated prior to the use of OCTA. We characterized several novel features of SSPiM and demonstrated that at least in some cases it resolves with residual hard exudate.

PURPOSE/OBJECTIVE:To investigate the association between choroidal caverns, choroidal vascular hyperpermeability (CVH), and pachyvessels in eyes with pachychoroid disease. METHODS:This was a retrospective review of swept-source optical coherence tomography and indocyanine green angiography imaging performed on eyes with pachychoroid disease. RESULTS:Imaging from 21 eyes with pachychoroid disease entities (8 eyes with pachychoroid pigment epitheliopathy, 11 eyes with central serous chorioretinopathy, and 3 eyes with pachychoroid neovasculopathy) from 11 patients (mean 49.5 years, male/female: 10/1, all white) was available for review. In all study eyes, pachyvessels traversed the areas of CVH visible in mid- and late-phase indocyanine green angiography. A total of 504 choroidal caverns were identified in 11 study eyes (52%). Of the 504 choroidal caverns, 445 (88%) were seen within the areas of CVH compared with 59 (12%), which were detected outside the areas of CVH (P < 0.001). Eyes with multiple caverns had an increased choroidal thickness when compared with eyes with ≤1 cavern (P < 0.001). CONCLUSION/CONCLUSIONS:Choroidal caverns, found primarily in the areas of indocyanine green angiography CVH traversed by pachyvessels, were detected in 52% of eyes with pachychoroid disease. The presence of choroidal caverns in these cases may indicate a loss of normal choroidal architecture associated with dilated Haller layer veins and increased choroidal thickness.

Optical coherence tomography (OCT) images semi-transparent tissues noninvasively. Relying on backscatter and interferometry to calculate spatial relationships, OCT shares similarities with other pulse-echo modalities. There is considerable interest in using machine learning techniques for automated image classification, particularly among ophthalmologists who rely heavily on diagnostic OCT. Artificial neural networks (ANN) consist of interconnected nodes and can be employed as classifiers after training on large datasets. Conventionally, OCT scans are rendered as 2D or 3D human-readable images of which the smallest depth-resolved unit is the amplitude-scan reflectivity-function profile which is difficult for humans to interpret. We set out to determine whether amplitude-scan reflectivity-function profiles representing disease signatures could be distinguished and classified by a feed-forward ANN. Our classifier achieved high accuracies after training on only 24 eyes, with evidence of good generalization on unseen data. The repertoire of our classifier can now be expanded to include rare and unseen diseases and can be extended to other disciplines and industries.