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PURPOSE To assess the impact of neurodegenerative morphologic alterations due to macular telangiectasia type 2 (MacTel) on microperimetry (MP) and multifocal electroretinography (mfERG). METHODS Thirty-five eyes of 18 patients with MacTel were examined using spectral domain optical coherence tomography (SD-OCT), fundus autofluorescence (FAF), mfERG and MP. Software was used to match SD-OCT B-scans with the corresponding retinal sensitivity map and multifocal electroretinograms (mfERGs), thus enabling direct structure/function correlation. RESULTS Loss of the ellipsoid zone (EZ) had the strongest negative association with retinal sensitivity (16.77 dB versus 4.58 dB, adj. p

Purpose To correlate the area of geographic atrophy (GA) and residual foveal sparing (FS), and to identify the minimum FS and maximum GA area allowing sufficient visual acuity (VA) for daily tasks. Design Prospective cohort study. Methods Thirty-six eyes of 25 patients with GA and FS were followed for 18 months using spectral-domain optical coherence tomography and VA tests. Volume scans were imported into software enabling grading of areas in B-scans and computing of planimetric measurements in complete volume scans. Correlation of areas 1 (complete atrophy), 2 (FS in the central millimeter), and 3 (FS in the central 3 mm) with each other and with best-corrected VA (BCVA) were evaluated. Results Baseline means of areas 1, 2, and 3 were 6.15 mm 2 , 0.49 mm 2 , and 3.08 mm 2 , respectively. At 1 year, area 1 increased by a mean of 1.33 mm 2 , while areas 2 and 3 were decreased by 0.12 mm 2 and 0.65 mm 2 , respectively. From baseline to 18 months and from visit to visit, all areas and BCVA changed progressively ( P 2 ; area 2: ≥0.48 mm 2 ; and area 3: ≥3.28 mm 2 ). Conclusion GA and FS changed inversely over time. In general, FS highly correlated with BCVA, while GA progression correlated with the central 3-mm FS regression, but not with BCVA. A threshold in GA and FS area could be determined for BCVA necessary for daily activity.

Purpose To evaluate early changes in retinal layers using optical coherence tomography (OCT) in patients with long‐standing type 1 diabetes (DM1) receiving intensified insulin therapy. Methods In a cross‐sectional case–control study 150 patients with DM1 and 150 age‐ and sex‐matched healthy control participants underwent OCT imaging. Scans of both eyes were analysed for different layers (NFL, GCL (+IPL), INL, outer layer complex (OLC, including OPL, ONL and ELM) and photoreceptors (PR)) in all subfields of an ETDRS grid. All analyses were performed semi‐automatically using custom software by certified graders of the Vienna Reading Center. ANOVA models were used to compare the mean thickness of the layers between patients and controls. Results Six hundred eyes with 512 datapoints in 49 b‐scans in each OCT were analysed. Mean thickness in patients/controls was 31.35 μm/30.65 μm (NFL, p = 0.0347), 76.7 μm/73.15 μm (GCL, p ≤ 0.0001), 36.29 μm/37.13 μm (INL, p = 0.0116), 114.34 μm/112.02 μm (OLC, p

Purpose We quantify volumetric changes of subretinal hyperreflective material (SHRM) and determine the conversion toward subretinal fibrosis, the angiofibrotic switch, under anti-VEGF therapy using polarization-sensitive optical coherence tomography (PS-OCT). Methods A total of 50 eyes of 50 patients with treatment-naive neovascular age-related macular degeneration (AMD) were included in this prospective observational study: 26 diagnosed with type 1 choroidal neovascularization (CNV), seven with type 2 CNV, 11 with mixed type CNV, three with a retinal angiomatous proliferation (RAP) lesion and three with a polypoidal choroidal vasculopathy (PCV). Patients were imaged at baseline and at the end of the loading phase (after treatment with three intravitreal anti-VEGF injections) using a PS-OCT system with a scanning angle of 30° × 30° and a scan pattern of 1024 × 250 A-scans. The device is capable of detecting fibrosis based on birefringence and the RPE based on depolarization. The volume of SHRM was quantified by manual delineation in each PS-OCT B-scan and interpolation between B-scans using proprietary reading center certified software. The occurrence of fibrosis detected by PS-OCT was compared to the clinical presentation of subretinal fibrosis. Results Of 50 eyes, 28 had SHRM at baseline. Seven of these eyes had subretinal fibrosis within 3 months, six of which could be detected unambiguously based on PS-OCT imaging. SHRM thickness and volume at month 3 (P = 0.001 and P = 0.02) were significantly larger and the reduction of SHRM thickness and volume (P = 0.002 and P = 0.027) in response to therapy were significantly less pronounced in eyes with fibrosis. Conclusions SHRM volume decreases significantly under anti-VEGF therapy. However, lesions unresponsive to therapy may progress to fibrosis as early as 3 months. Reduction in SHRM thickness may be a prognostic marker for treatment response.

Aims To quantify the change in drusen volume over time and identify its prognostic value for individual risk assessment. Methods A prospective observational study over a minimum of 3 years and maximum of 5 years and follow-up examination every 3 months was conducted at the ophthalmology department of the Medical University of Vienna. 109 patients presenting early and intermediate age-related macular degeneration (AMD) were included, of which 30 patients concluded a regular follow-up for at least 3 years. 50 eyes of 30 patients were imaged every 3 months using spectral-domain and polarisation-sensitive optical coherence tomography (OCT). Drusen volume was measured using an automated algorithm. Data of a 6-month follow-up were segmented manually by expert graders. Results Gradings from 24 000 individual B-scans showed solid correlation between manual and automated segmentation with an initial mean drusen volume of 0.17 mm 3 . The increase in drusen volume was shown to be comparable among all eyes, and a model for long-term drusen volume development could be fitted as a cubic polynomial function and an R 2 =0.955. Spontaneous drusen regression was observed in 22 of 50 eyes. In this group, four eyes developed choroidal neovascularisation and three geographic atrophy. Conclusions Drusen volume increase over time can be described by a cubic function. Spontaneous regression appears to precede conversion to advanced AMD. OCT might be a promising tool for predicting the individual risk of progression of AMD.

To compare signal penetration depth and deep structure-visualization of swept source (SS) and spectral domain (SD)-optical coherence tomography (OCT) with and without enhanced depth imaging (EDI) and B-scan averaging modes.Volume scans were obtained from 20 eyes of healthy volunteers by DRI OCT-1, Spectralis using EDI and B-scan averaging, and Cirrus HD-OCT. The signal penetration depth was measured as the distance between the retinal pigment epithelium and the deepest visible anatomical structure at the foveal center. Visibility and contrast of the choroidoscleral junction and of vascular details within the choroid were assessed across the entire volume using an ordinal scoring scale. Outcome measures were compared using paired t-test and rank-sum test.The mean signal penetration depth was 498±114 μm for Spectralis, 491±85 μm for DRI OCT-1, and 123±65 μm for Cirrus; P=0.9708 Spectralis vs DRI OCT-1, P0.0001 Spectralis vs Cirrus, and P0.0001 DRI OCT-1 vs Cirrus. Mean ranks for visibility and contrast of the choroidoscleral junction were 3.83 for Spectralis, 3.98 for DRI OCT-1, and 2.00 for Cirrus; and 3.45 for Spectralis, 2.93 for DRI OCT-1, and 1.58 for Cirrus. Mean ranks for visibility and contrast of vascular details were 3.73 (Spectralis), 3.70 (DRI OCT-1), and 2.23 (Cirrus); and 3.53 (Spectralis), 2.05 (DRI OCT-1), and 1.98 (Cirrus).Signal penetration depths are similar for SS-OCT and SD-OCT using EDI and frame averaging, and statistically significantly lower without EDI/averaging. Both SD-OCT using EDI/frame averaging and SS-OCT offer excellent visualization capabilities for volumetric imaging of the choroidoscleral interface.

Comparison of optical coherence tomography (OCT) segmentation performance regarding technical accuracy and clinical relevance.29 eyes were imaged prospectively with Spectralis (Sp), Cirrus (Ci), 3D-OCT 2000 (3D) and RS-3000 (RS) OCTs. Raw data were evaluated in validated custom software. A 1 mm diameter subfield, centred on the fovea, was investigated to compare identical regions for each case. Segmentation errors were corrected on each B-scan enclosed in this subfield. Proportions of wrongly segmented A-scans were noted for inner and outer retinal boundaries. Centre point thickness (CPT) and central macular thickness (CMT) were compared before and after correction.Segmentation errors occurred in 77% and affected on average 29% of A-scans, resulting in mean differences of 24/13 µm (CPT/CMT). The incidence of segmentation errors was 48% (Sp), 79% (Ci), 86% (3D) and 93% (RS), p0.001. Mean proportions of A-scans with wrong outer retinal boundary were 30% (Sp), 9% (Ci), 23% (3D) and 10% (RS), p=0.006; proportions for the inner retinal boundary were 11% (Sp), 12% (Ci), 6% (3D) and 21% (RS), p=0.034. Mean deviations in CPT/CMT were 41/28 µm (Sp), 17/11 µm (Ci), 30/13 µm (3D) and 18/8 µm (RS), p=0.409/0.477.By comparison of identical regions, substantial differences were detected between the tested OCT devices regarding technical accuracy and clinical impact. Spectralis showed lowest error incidence but highest error impact.

Purpose: To describe and follow cotton wool spots (CWS) in branch retinal vein occlusion (BRVO) using multimodal imaging. Methods: In this prospective cohort study including 24 patients with new-onset BRVO, CWS were described and analyzed in color fundus photography (CF), spectral domain optical coherence tomography (SD-OCT), infrared (IR) and fluorescein angiography (FA) every 3 months for 3 years. The CWS area on SD-OCT and CF was evaluated using OCT-Tool-Kit software: CWS were marked in each single OCT B-scan and the software calculated the area by interpolation. Results: 29 central CWS lesions were found. 100% of these CWS were visible on SD-OCT, 100% on FA and 86.2% on IR imaging, but only 65.5% on CF imaging. CWS were visible for 12.4 ± 7.5 months on SD-OCT, for 4.4 ± 3 months and 4.3 ± 3.4 months on CF and on IR, respectively, and for 17.5 ± 7.1 months on FA. The evaluated CWS area on SD-OCT was larger than on CF (0.26 ± 0.17 mm2 vs. 0.13 ± 0.1 mm2, p < 0.0001). The CWS area on SD-OCT and surrounding pathology such as intraretinal cysts, avascular zones and intraretinal hemorrhage were predictive for how long CWS remained visible (r2 = 0.497, p < 0.002). Conclusions: The lifetime and presentation of CWS in BRVO seem comparable to other diseases. SD-OCT shows a higher sensitivity for detecting CWS compared to CF. The duration of visibility of CWS varies among different image modalities and depends on the surrounding pathology and the CWS size.

Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth factor (VEGF) agents. However, manual evaluation of VMA in 3D optical coherence tomography (OCT) is laborious and data on its impact on therapy of retinal vein occlusion (RVO) are limited. The aim of this study was to (1) develop a fully automated segmentation algorithm for the posterior vitreous boundary and (2) to study the effect of VMA on anti-VEGF therapy for RVO. A combined machine learning/graph cut segmentation algorithm for the posterior vitreous boundary was designed and evaluated. 391 patients with central/branch RVO under standardized ranibizumab treatment for 6/12 months were included in a systematic post-hoc analysis. VMA (70%) was automatically differentiated from non-VMA (30%) using the developed method combined with unsupervised clustering. In this proof-of-principle study, eyes with VMA showed larger BCVA gains than non-VMA eyes (BRVO: 15 ± 12 vs. 11 ± 11 letters, p = 0.02; CRVO: 18 ± 14 vs. 9 ± 13 letters, p

This study has been designed to describe the functional impact of distinct pathologies within the retinal layers in patients with geographic atrophy (GA) by means of a point-to-point correlation between optical coherence tomography (OCT) and microperimetry.Retinal morphology and function of 23 patients suffering from GA of the retinal pigment epithelium (RPE) have been investigated using the Spectralis OCT (Heidelberg Engineering) and the MP1 microperimeter (Nidek Technologies). The point-to-point overlay of morphology and function has been done using proprietary software, allowing OCT image grading to define distinct alterations of the neurosensory retina, the RPE and the choroid. By overlaying the retinal sensitivity map on the OCT data set, retinal layer alterations could be evaluated regarding their impact on visual function.A total of 1005 stimulation points in the lesion area in 2107 spectral domain OCT B-scans were graded in 43 eyes of 23 patients (mean best corrected visual acuity=20/70). Retinal sensitivity decreases with an increasing number of morphological alterations graded (p10(-13)). Alterations of the RPE and the external limiting membrane (p0.02) were associated with absolute scotomas. Furthermore, the loss of the external limiting membrane as the largest area of morphological alteration among our patients with GA (mean area=5.65 mm(2)), had a significant impact (p10(-4)) on sensitivity (-1.3 dB).Mapping retinal sensitivity to distinct retinal pathologies revealed outer retinal layers, in addition to the RPE, as significant for sensitivity loss. Therefore in GA the RPE loss and the alteration of outer retinal layers should be analysed, which could also provide insight into lesion progression.

Age-related macular degeneration (AMD) is a leading cause of blindness in developed countries. The presence of drusen is the hallmark of early/intermediate AMD, and their sudden regression is strongly associated with the onset of late AMD. In this work we propose a predictive model of drusen regression using optical coherence tomography (OCT) based features. First, a series of automated image analysis steps are applied to segment and characterize individual drusen and their development. Second, from a set of quantitative features, a random forest classifiser is employed to predict the occurrence of individual drusen regression within the following 12 months. The predictive model is trained and evaluated on a longitudinal OCT dataset of 44 eyes from 26 patients using leave-one-patient-out cross-validation. The model achieved an area under the ROC curve of 0.81, with a sensitivity of 0.74 and a specificity of 0.73. The presence of hyperreflective foci and mean drusen signal intensity were found to be the two most important features for the prediction. This preliminary study shows that predicting drusen regression is feasible and is a promising step toward identification of imaging biomarkers of incoming regression.

In macular spectral domain optical coherence tomography (SD-OCT) volumes, detection of the foveal center is required for accurate and reproducible follow-up studies, structure function correlation, and measurement grid positioning. However, disease can cause severe obscuring or deformation of the fovea, thus presenting a major challenge in automated detection. We propose a fully automated fovea detection algorithm to extract the fovea position in SD-OCT volumes of eyes with exudative maculopathy. The fovea is classified into 3 main appearances to both specify the detection algorithm used and reduce computational complexity. Based on foveal type classification, the fovea position is computed based on retinal nerve fiber layer thickness. Mean absolute distance between system and clinical expert annotated fovea positions from a dataset comprised of 240 SD-OCT volumes was 162.3 µm in cystoid macular edema and 262 µm in nAMD. The presented method has cross-vendor functionality, while demonstrating accurate and reliable performance close to typical expert interobserver agreement. The automatically detected fovea positions may be used as landmarks for intra- and cross-patient registration and to create a joint reference frame for extraction of spatiotemporal features in “big data.” Furthermore, reliable analyses of retinal thickness, as well as retinal structure function correlation, may be facilitated.

Purpose To evaluate spectral-domain optical coherence tomography (SD-OCT) in providing reliable and reproducible parameters for grading geographic atrophy (GA) compared with fundus autofluorescence (FAF) images acquired by confocal scanning laser ophthalmoscopy (cSLO). Design Prospective observational study. Participants A total of 81 eyes of 42 patients with GA. Methods Patients with atrophic age-related macular degeneration (AMD) were enrolled on the basis of total GA lesion size ranging from 0.5 to 7 disc areas and best-corrected visual acuity of at least 20/200. A novel combined cSLO-SD-OCT system (Spectralis HRA-OCT, Heidelberg Engineering, Heidelberg, Germany) was used to grade foveal involvement and to manually measure disease extent at the level of the outer neurosensory layers and retinal pigment epithelium (RPE) at the site of GA lesions. Two readers of the Vienna Reading Center graded all obtained volume stacks (20×20 degrees), and the results were correlated to FAF. Main Outcome Measures Choroidal signal enhancements and alterations of the RPE, external limiting membrane (ELM), and outer plexiform layer by SD-OCT. These parameters were compared with the lesion measured with severely decreased FAF. Results Foveal involvement or sparing was definitely identified in 75 of 81 eyes based on SD-OCT by both graders (inter-grader agreement: κ= 0.6, P κ= 0.3, P 2 for grader 1 (G1) and 9.54 mm 2 for grader 2 (G2), consistent with the mean SD-OCT quantification of the sub-RPE choroidal signal enhancement (8.9 mm 2 [G1] −9.4 mm 2 [G2]) and ELM loss with 8.7 mm 2 (G1) −10.2 mm 2 (G2). In contrast, complete morphologic absence of the RPE layer by SD-OCT was significantly smaller than the GA size in FAF (R 2 =0.400). Inter-reader agreement was highest regarding complete choroidal signal enhancement (0.98) and ELM loss (0.98). Conclusions Absence of FAF in GA lesions is consistent with morphologic RPE loss or advanced RPE disruption and is associated with alterations of the outer retinal layers as identified by SD-OCT. Lesion size is precisely determinable by SD-OCT, and foveal involvement is more accurate by SD-OCT than by FAF. Financial Disclosure(s) Proprietary or commercial disclosure may be found after the references.

A framework including data selection, task assignment and annotation combination stages for a confidence based benchmark dataset for retinal image processing is proposed.A novel task assignment is used to remove data and reader biases.The annotation of readers is combined based on their accuracy and performance.The framework is used to build a confidence based benchmark dataset for cyst segmentation.The generated benchmark can be used to reliably evaluate cyst segmentation methods. Background and objectivesThe lack of benchmark data in computational ophthalmology contributes to the challenging task of applying disease assessment and evaluate performance of machine learning based methods on retinal spectral domain optical coherence tomography (SD-OCT) scans. Presented here is a general framework for constructing a benchmark dataset for retinal image processing tasks such as cyst, vessel, and subretinal fluid segmentation and as a result, a benchmark dataset for cyst segmentation has been developed. MethodFirst, a dataset captured by different SD-OCT vendors with different numbers of scans and pathology qualities are selected. Then a robust and intelligent method is used to evaluate performance of readers, partitioning the dataset into subsets. Subsets are then assigned to complementary readers for annotation with respect to a novel confidence based annotation protocol. Finally, reader annotations are combined based on their performance to generate final annotations. ResultThe generated benchmark dataset for cyst segmentation comprises 26 SD-OCT scans with differing cyst qualities, collected from 4 different SD-OCT vendors to cover a wide variety of data. The dataset is partitioned into three subsets which are annotated by complementary readers based on a confidence based annotation protocol. Experimental results show annotations of complementary readers are combined efficiently with respect to their performance, generating accurate annotations. ConclusionOur results facilitate the process of generating benchmark datasets. Moreover the generated benchmark data set for cyst segmentation can be used reliably to train and test machine learning based methods.

Retinal vessels are one of the few anatomical landmarks that are clearly visible in various imaging modalities of the eye. As they are also relatively invariant to disease progression, retinal vessel segmentation allows cross-modal and temporal registration enabling exact diagnosing for various eye diseases like diabetic retinopathy, hypertensive retinopathy or age-related macular degeneration (AMD). Due to the clinical significance of retinal vessels many different approaches for segmentation have been published in the literature. In contrast to other segmentation approaches our method is not specifically tailored to the task of retinal vessel segmentation. Instead we utilize a more general image classification approach and show that this can achieve comparable results. In the proposed method we utilize the concepts of eigenfaces and auto-context. Eigenfaces have been described quite extensively in the literature and their performance is well known. They are however quite sensitive to translation and rotation. The former was addressed by computing the eigenvessels in local image windows of different scales, the latter by estimating and correcting the local orientation. Auto-context aims to incorporate automatically generated context information into the training phase of classification approaches. It has been shown to improve the performance of spinal cord segmentation4 and 3D brain image segmentation. The proposed method achieves an area under the receiver operating characteristic (ROC) curve of A z = 0.941 on the DRIVE data set, being comparable to current state-of-the-art approaches.

Purpose To determine the distribution of leakage on fluorescein angiography (FA) and explore the clinically protective role of astrocytes against damage to the inner blood retinal barrier (iBRB) in diabetic macular edema (DME). Methods A consecutive case series of 87 eyes of 87 patients with DME was included. We measured the leakage area in each field of the Early Treatment Diabetic Retinopathy Study (ETDRS) grid on late-phase FA images. The normative thickness of the nerve fiber layer (NFL), in which the astrocytes are confined, was derived from a previous work using spectral-domain optical coherence tomography. We explored the difference in leakage areas in every two fields. Moreover, we investigated the correlation between the mean of the leakage area and the mean of thickness of the NFL in each ETDRS field. Results The leakage areas in the nasal, inferior, superior, and temporal fields were 2.34 mm2, 2.84 mm2, 3.03 mm2, and 3.96 mm2. The difference in leakage area between each two fields was significant in all cases (P < 0.05) except between the inferior and superior fields (P = 0.65). The temporal field was the only field that showed leakage in all 87 cases. The correlation between the leakage area and the thickness of the NFL in the ETDRS fields was negative and highly significant: r = -0.96 (95% confidence interval -0.99 to -0.02). Conclusion The distribution of leakage correlates inversely and statistically significantly with the thickness of the NFL, suggesting astrocytes in the NFL play a pivotal role in preventing damage to the iBRB and subsequent evolution of microaneurysms in DME. Moreover, fluid extravasation due to damage to the iBRB is expressed earlier in the temporal than in the other three fields.

Purpose To develop a data-driven interpretable predictive model of incoming drusen regression as a sign of disease activity and identify optical coherence tomography (OCT) biomarkers associated with its risk in intermediate age-related macular degeneration (AMD). Methods Patients with AMD were observed every 3 months, using Spectralis OCT imaging, for a minimum duration of 12 months and up to a period of 60 months. Segmentation of drusen and the overlying layers was obtained using a graph-theoretic method, and the hyperreflective foci were segmented using a voxel classification method. Automated image analysis steps were then applied to identify and characterize individual drusen at baseline, and their development was monitored at every follow-up visit. Finally, a machine learning method based on a sparse Cox proportional hazard regression was developed to estimate a risk score and predict the incoming regression of individual drusen. Results The predictive model was trained and evaluated on a longitudinal dataset of 61 eyes from 38 patients using cross-validation. The mean follow-up time was 37.8 ± 13.8 months. A total of 944 drusen were identified at baseline, out of which 249 (26%) regressed during follow-up. The prediction performance was evaluated as area under the curve (AUC) for different time periods. Prediction within the first 2 years achieved an AUC of 0.75. Conclusions The predictive model proposed in this study represents a promising step toward image-guided prediction of AMD progression. Machine learning is expected to accelerate and contribute to the development of new therapeutics that delay the progression of AMD.

Modern optical coherence tomography (OCT) devices used in ophthalmology acquire steadily increasing amounts of imaging data. Thus, reliable automated quantitative analysis of OCT images is considered to be of utmost importance. Current automated retinal OCT layer segmentation methods work reliably on healthy or mildly diseased retinas, but struggle with the complex interaction of the layers with fluid accumulations in macular edema. In this work, we present a fully automated 3D method which is able to segment all the retinal layers and fluid-filled regions simultaneously, exploiting their mutual interaction to improve the overall segmentation results. The machine learning based method combines unsupervised feature representation and heterogeneous spatial context with a graph-theoretic surface segmentation. The method was extensively evaluated on manual annotations of 20,000 OCT B-scans from 100 scans of patients and on a publicly available data set consisting of 110 annotated B-scans from 10 patients, all with severe macular edema, yielding an overall mean Dice coefficient of 0.76 and 0.78, respectively.

Patient movements during the acquisition of SD-OCT scans create substantial motion artefacts in the volumetric data that hinder registration and 3D analysis and can be mistaken for pathologies. In this paper we propose a method to correct these artefacts using a single volume scan while still retaining the overall shape of the retina. The method was quantitatively validated using a set of synthetic SD-OCT volumes and qualitatively by a group of trained OCT grading experts on 100 SD-OCT scans. Furthermore, we compared the motion compensation estimation by the proposed method with a hardware eye tracker on 100 SD-OCT volumes.

The purpose of this study was to classify and detect intraretinal hemorrhage (IRH) in spectral domain optical coherence tomography (SD-OCT).Initially the presentation of IRH in BRVO-patients in SD-OCT was described by one reader comparing color-fundus (CF) and SD-OCT using dedicated software. Based on these established characteristics, the presence and the severity of IRH in SD-OCT and CF were assessed by two other masked readers and the inter-device and the inter-observer agreement were evaluated. Further the area of IRH was compared.About 895 single B-scans of 24 eyes were analyzed. About 61% of SD-OCT scans and 46% of the CF-images were graded for the presence of IRH (concordance: 73%, inter-device agreement: k = 0.5). However, subdivided into previously established severity levels of dense (CF: 21.3% versus SD-OCT: 34.7%, k = 0.2), flame-like (CF: 15.5% versus SD-OCT: 45.5%, k = 0.3), and dot-like (CF: 32% versus SD-OCT: 24.4%, k = 0.2) IRH, the inter-device agreement was weak. The inter-observer agreement was strong with k = 0.9 for SD-OCT and k = 0.8 for CF. The mean area of IRH detected on SD-OCT was significantly greater than on CF (SD-OCT: 11.5 ± 4.3 mm(2) versus CF: 8.1 ± 5.5 mm(2), p = 0.008).IRH seems to be detectable on SD-OCT; however, the previously established severity grading agreed weakly with that assessed by CF.

Purpose To evaluate morphological changes due to uveitis-associated cystoid macular oedema (uvCME) and their impact on central retinal sensitivity (CRS) before and after intravitreal triamcinolone-acetonide (IVTA). Methods 28 eyes with uvCME were examined with microperimetry and spectral-domain optical-coherencetomography (SD-OCT) before and after IVTA. Microperimetry-maps were superimposed on SD-OCT and morphological-alterations were correlated point to point with CRS and followed-up for 3 months. The effects of morphological-alterations on CRS over time were evaluated with a linear mixed-model. Results Mean-CRS increased significantly after IVTA (p=0.009). Proportion of cysts correlated negatively with corresponding CRS (estimate/95% CI −3.8dB/−6.6 to −0.9, p=0.011). Proportion of diffuse macular-oedema (DifME) had no significant effect on mean-CRS (−0.76dB/−4.9 to 3.3, p=0.71). The proportion of serous retinal detachment (SRD) had a borderline significant effect on mean-CRS (−9.5dB/−19.1 to 0.1, p=0.052), however the initial presence of SRD at baseline had no significant negative effect on mean-CRS (−1.3dB/−4.9 to 2.3, p=0.46). Patients with epiretinalmembrane showed lower mean-CRS than patients without (−3.3dB/−6.5 to −0.008, p=0.05). The lowest percentage of morphological-alterations was achieved 30 days post IVTA concordant to best visual-acuity (logMAR 0.16±0.26), while best mean-CRS was achieved 90 days post IVTA (16.9±1.8dB). Fixation-stability showed no significant improvement. Conclusions UvCME Morphological-alterations were associated with specific CRS-decreases. DifME showed no significant- and SRD only a borderline effect on mean-CRS, which implicates that their presence should be considered when interpreting SD-OCT and making treatment-decisions.

Purpose: To evaluate the effect of fluid accumulation on local visual function in inflammatory cystoid-macular-edema (ICME). Methods: This cross-sectional study applied optical-coherence-tomography over a 12 × 12 fovea-centered field in 50 patients with ICME and mapped the extent of fluid-filled spaces in various retinal layers, of subretinal-fluid and of diffuse-edema. Regression analysis examined effect of planimetric fluid-distribution on best-corrected-visual-acuity (BCVA) and mean microperimetric-sensitivity. Results: BCVA decreased with increasing central-neuroretinal-thickness (r = 0.52, p = 0.001), total central-retinal-thickness, including subneuroretinal-fluid (r = 0.41, p = 0.006), total cystoid-and-diffuse edema-area (r = 0.35, p = 0.036) and cystoid inner-nuclear-layer area (r = 0.39, p = 0.02). Mean retinal-sensitivity decreased with increasing diffuse edema-area (r = −0.86, p

Purpose To identify reliable criteria based on spectral-domain optical coherence tomography (SD OCT) to monitor disease progression in geographic atrophy attributable to age-related macular degeneration (AMD) compared with lesion size determination based on fundus autofluorescence (FAF). Design Prospective longitudinal observational study. Methods setting: Institutional. study population: A total of 48 eyes in 24 patients with geographic atrophy. observation procedures: Eyes with geographic atrophy were included and examined at baseline and at months 3, 6, 9, and 12. At each study visit best-corrected visual acuity (BCVA), FAF, and SD OCT imaging were performed. FAF images were analyzed using the region overlay device. Planimetric measurements in SD OCT, including alterations or loss of outer retinal layers and the RPE, as well as choroidal signal enhancement, were performed with the OCT Toolkit. main outcome measures: Areas of interest in patients with geographic atrophy measured from baseline to month 12 by SD OCT compared with the area of atrophy measured by FAF. Results Geographic atrophy lesion size increased from 8.88 mm² to 11.22 mm² based on quantitative FAF evaluation. Linear regression analysis demonstrated that results similar to FAF planimetry for determining lesion progression can be obtained by measuring the areas of outer plexiform layer thinning (adjusted R 2 = 0.93), external limiting membrane loss (adjusted R 2 = 0.89), or choroidal signal enhancement ( R 2 = 0.93) by SD OCT. Conclusions SD OCT allows morphologic markers of disease progression to be identified in geographic atrophy and may improve understanding of the pathophysiology of atrophic AMD.

Purpose To compare choroidal thickness of different areas on swept-source optical coherence tomography (SSOCT) line and cube scans for their interchangeable use. Design Validity analysis. Methods SSOCT line and cube scans were obtained from 21 patients with various choroidal thicknesses. Subfoveal center point choroidal thickness, mean central millimeter choroidal thickness, and mean 6-mm-area choroidal thicknesses were obtained from both eyes by 2 independent graders in a reading center setting. Cross-correlations were performed using Passing and Bablok regression models. A 95% confidence interval of slope that included 1 was considered to indicate no significant difference. Average choroidal thickness of center point, Early Treatment Diabetic Retinopathy Study grid subfields, and total grid area of 6 mm on both scans and the correlation between different areas served as main outcome measures. Results No significant difference between line scans/corresponding subfields of cube scans (outer nasal 0.92–1.11, inner nasal 0.88–1.06, central 0.94–1.11, inner temporal 0.95–1.12, outer temporal 0.93–1.17). No significant difference between subfoveal center point measurement/mean of choroidal thickness in the central millimeter of cube scans (0.89–1.08). Significant difference of subfoveal center point measurement or mean of central millimeter area of cube scans to entire 6-mm area of cube scans (1.01–1.53 and 1.03–1.38). Conclusions Measurements on a single SSOCT horizontal line scan can represent the entire choroid but subfoveal center point measurements are only indicative for the central millimeter area. There is a consistent overestimation of choroidal thickness when trying to estimate overall choroidal thickness from any central measurement.

PURPOSE To quantitatively analyze morphological features in eyes with neovascular AMD (nAMD) at baseline, after 12 months, and after 24 months of intravitreal ranibizumab treatment and to perform a structure/function correlation. METHODS Eyes with treatment-naive nAMD were treated with intravitreal ranibizumab according to a standardized dosing regimen over 2 years and followed continuously in a prospective study design. The central foveal area of 1000 μm (horizontal)×960 μm (vertical) of spectral-domain optical coherence tomography (SD-OCT) volume scans was evaluated quantitatively (using proprietary software) for the following pathologies: alteration of the external limiting membrane (ELM), alteration of the ellipsoid zone, subretinal fluid, pigment epithelium detachment, drusen, intraretinal cysts, subretinal mass, and subretinal pigment epithelium mass. The total area of each pathology was calculated in mm2 at baseline and after 1 and 2 years of ranibizumab therapy and correlated with BCVA results. RESULTS In total, 480 central SD-OCT scans of 20 consecutive patients were evaluated. In the multivariate regression analysis, the area of ELM alteration, the area of intraretinal cysts, and foveal retinal thickness were significant variables influencing visual acuity at baseline (R=-0.827; R2=0.684; P