All Articles from Ursula Schmidt-Erfurth -Optical Coherence Tomography News

Articles from Ursula Schmidt-Erfurth

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1. Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence
  
  Explore Frontiers Aug 27 2022 Ophthalmology
  
  Purpose: To predict visual outcomes and treatment needs in a treat & extend (T&E) regimen in neovascular age-related macular degeneration (nAMD) using a machine learning model based on quantitative optical coherence tomography (OCT) imaging biomarkers. Materials and methods: Study eyes of 270 treatment-naïve subjects, randomized to receiving ranibizumab therapy in the T&E arm of a randomized clinical trial were considered. OCT volume scans were processed at baseline and at the first follow-up visit 4 weeks later. Automated image segmentation was performed, where intraretinal (IRF), subretinal (SRF) fluid, pigment epithelial detachment (PED), hyperreflective foci, and the photoreceptor layer were ...
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  Mentions: Medical University of Vienna
2. Comparison of FAF versus OCT-based evaluation of the therapeutic response to pegcetacoplan in Geographic Atrophy
  
  Explore American Journal of Ophthalmology Jul 15 2022 Ophthalmology
  
  Purpose To perform an optical coherence tomography (OCT)-based analysis of geographic atrophy (GA) progression in patients treated with pegcetacoplan. Design Post-hoc analysis of a phase 2 multicenter, randomized, sham-controlled trial Methods Manual annotation of retinal pigment epithelium (RPE), ellipsoid zone (EZ) and external limiting membrane (ELM) loss was performed on OCT volumes from baseline and month 12 from the phase 2 FILLY trial of intravitreal pegcetacoplan for the treatment of GA secondary to age-related macular degeneration. Main Outcome Measures Correlation of GA areas measured on fundus autofluorescence (FAF) and OCT. Difference in square root transformed growth rates of RPE ...
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  Mentions: Medical University of Vienna
3. Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)—a phase III, prospective, multicentre, randomized study: design and methods
  
  Explore Nature Publishing Group Jul 5 2022 Ophthalmology
  
  Introduction In neovascular age-related macular degeneration (nAMD) the exact amount of fluid and its location on optical coherence tomography (OCT) have been defined as crucial biomarkers for disease activity and therapeutic decisions. Yet in the absence of quantitative evaluation tools, real-world care outcomes are disappointing. Artificial intelligence (AI) offers a practical option for clinicians to enhance point-of-care management by analysing OCT volumes in a short time. In this protocol we present the prospective implementation of an AI-algorithm providing automated real-time fluid quantifications in a clinical real-world setting. Methods This is a prospective, multicentre, randomized (1:1) and double masked phase ...
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  Mentions: Heidelberg Engineering Nidek Medical University of Vienna
4. The effect of pegcetacoplan treatment on photoreceptor maintenance in geographic atrophy monitored by AI-based OCT analysis
  
  Explore ScienceDirect Jun 10 2022 Ophthalmology
  
  Purpose: To investigate the therapeutic effect of intravitreal pegcetacoplan on the inhibition of photoreceptor (PR) loss and thinning in geographic atrophy (GA) on conventional spectral domain-optical coherence tomography (SD-OCT) imaging by deep learning-based automated PR quantification. Design: Post-hoc analysis of a prospective, multicenter, randomized, sham-controlled, masked phase II trial investigating the safety and efficacy of pegcetacoplan for the treatment of GA due to age-related macular degeneration. Participants: Study eyes of 246 patients, randomized 1:1:1 to monthly (AM), bimonthly (AEOM) and sham (SM) treatment. Methods: We performed fully automated, deep learning-based segmentation of retinal pigment epithelium (RPE) loss and ...
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  Mentions: Medical University of Vienna
5. Evaluation of neuroretinal integrity in optical coherence tomography-graded eyes with partial-thickness macular holes
  
  Explore Wiley Online Library Apr 12 2022 Ophthalmology
  
  Purpose: To evaluate neuroretinal integrity in different subtypes of optical coherence tomography (OCT)-graded partial-thickness macular holes. Methods: Fovea-centred SD-OCT images (Cirrus, Carl Zeiss Meditec AG; Spectralis, Heidelberg Engineering GmbH) and visual acuity (VA) acquired at every visit were analysed by two retina specialists retrospectively in 71 eyes of 65 patients. Partial-thickness macular holes were classified as lamellar macular hole (LMH), epiretinal membrane foveoschisis (ERMF) or macular pseudohole (MPH). Results: Lamellar macular hole, ERMF and MPH were diagnosed in 33 (47%), 31 (43%) and 7 (10%) eyes with a VA of 0.18 ± 0.25, 0.15 ± 0.2, and ...
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  Mentions: Medical University of Vienna Carl Zeiss Meditec
6. Robust Fovea Detection in Retinal OCT Imaging using Deep Learning
  
  Explore IEEE Xplore Apr 11 2022 Ophthalmology
  
  The fovea centralis is an essential landmark in the retina where the photoreceptor layer is entirely composed of cones responsible for sharp, central vision. The localization of this anatomical landmark in optical coherence tomography (OCT) volumes is important for assessing visual function correlates and treatment guidance in macular disease. In this study, the "PRE U-net" is introduced as a novel approach for a fully automated fovea centralis detection, addressing the localization as a pixel-wise regression task. 2D B-scans are sampled from each image volume and are concatenated with spatial location information to train the deep network. A total of 5586 ...
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  Mentions: Medical University of Vienna
7. Automatic segmentation of intraocular lens, the retrolental space and Berger's space using deep learning
  
  Explore Wiley Online Library Mar 29 2022 Ophthalmology
  
  Purpose To develop and validate a deep learning model to automatically segment three structures using an anterior segment optical coherence tomography (AS-OCT): The intraocular lens (IOL), the retrolental space (IOL to the posterior lens capsule) and Berger's space (BS; posterior capsule to the anterior hyaloid membrane). Methods An artificial intelligence (AI) approach based on a deep learning model to automatically segment the IOL, the retrolental space, and BS in AS-OCT, was trained using annotations from an experienced clinician. The training, validation and test set consisted of 92 cross-sectional OCT slices, acquired in 47 visits from 41 eyes. Annotations from ...
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  Mentions: Medical University of Vienna
8. Linking Function and Structure with ReSenseNet: Predicting Retinal Sensitivity from Optical Coherence Tomography using Deep Learning
  
  Explore ScienceDirect Feb 12 2022 Ophthalmology
  
  Purpose: Currently used measures of retinal function are limited by being subjective, non-localized and/or taxing for patients. To address these limitations, we sought to develop and evaluate a deep learning (DL) method to automatically predict a functional endpoint (retinal sensitivity) from structural optical coherence tomography (OCT) images. Design: Retrospective cross-sectional study. Subjects: In total, 714 volumes of 289 patients were used in this study. Methods: A novel deep learning algorithm was developed to automatically predict a comprehensive retinal sensitivity map from OCTs. 463 SD-OCT volumes from 174 patients and their corresponding microperimetry examinations (Nidek MP-1) were used for development ...
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  Mentions: Nidek Medical University of Vienna
9. Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study
  
  Explore Wiley Online Library Nov 30 2021 Neurology , Ophthalmology
  
  Objective: To evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with relapsing-remitting multiple sclerosis (RRMS) versus healthy controls; to determine whether optical coherence tomography (OCT) is sufficiently sensitive and reproducible to detect small degrees of neuroaxonal loss over time that correlate with changes in brain volume and disability progression as measured by the Expanded Disability Status Scale (EDSS). Methods: Individuals with RRMS from 28 centers (n = 333) were matched with 64 healthy participants. OCT scans were ...
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  Mentions: Johns Hopkins University University College London Medical University of Vienna
10. Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study
  
  Explore Wiley Online Library Nov 19 2021 Neurology , Ophthalmology
  
  Objective: To evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with relapsing-remitting multiple sclerosis (RRMS) versus healthy controls; to determine whether optical coherence tomography (OCT) is sufficiently sensitive and reproducible to detect small degrees of neuroaxonal loss over time that correlate with changes in brain volume and disability progression as measured by the Expanded Disability Status Scale (EDSS). Methods: Individuals with RRMS from 28 centers (n = 333) were matched with 64 healthy participants. OCT scans were ...
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  Mentions: Johns Hopkins University Medical University of Vienna University Hospital Zurich
11. Assessment of Detailed Photoreceptor Structure and Retinal Sensitivity in Diabetic Macular Ischemia Using Adaptive Optics-OCT and Microperimetry
  
  Explore IOVS Journal Oct 5 2021 Ophthalmology
  
  Purpose: The purpose of this study was to assess density and morphology of cone photoreceptors (PRs) and corresponding retinal sensitivity in ischemic compared to nonischemic retinal capillary areas of diabetic eyes using adaptive optics optical coherence tomography (AO-OCT) and microperimetry (MP). Methods: In this cross-sectional, observational study five eyes of four patients (2 eyes with proliferative diabetic retinopathy (DR) and 3 eyes moderate nonproliferative DR) were included. PR morphology and density was manually assessed in AO-OCT en face images both at the axial position of the inner-segment outer segment (IS/OS) and cone outer segment tips (COSTs). Retinal sensitivity was ...
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  Mentions: Nidek Medical University of Vienna
12. Fundus autofluorescence and optical coherence tomography biomarkers associated with the progression of geographic atrophy secondary to age-related macular degeneration
  
  Explore Nature Publishing Group Aug 16 2021 Ophthalmology
  
  Objectives To investigate the impact of qualitatively graded and deep learning quantified imaging biomarkers on growth of geographic atrophy (GA) secondary to age-related macular degeneration. Methods This prospective study included 1062 visits of 181 eyes of 100 patients with GA. Spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (FAF) images were acquired at each visit. Hyperreflective foci (HRF) were quantitatively assessed in SD-OCT volumes using a validated deep learning algorithm. FAF images were graded for FAF patterns, subretinal drusenoid deposits (SDD), GA lesion configuration and atrophy enlargement. Linear mixed models were calculated to investigate associations between all parameters and GA ...
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  Mentions: Medical University of Vienna
13. Impact of large choroidal vessels on choriocapillaris flow deficit analyses in optical coherence tomography angiography
  
  Explore Journals | PLOS Aug 5 2021 Ophthalmology
  
  Purpose To investigate the impact of large choroidal vessels (LCV) on Choriocapillaris (CC) flow deficit (FD) analyses with swept-source optical coherence tomography angiography (SS-OCTA) Design Prospective, cross-sectional study. Methods Macular 6x6mm SS-OCTA scans were obtained from intermediate age-related macular degeneration (iAMD) and healthy eyes. Images were captured and processed according to most common standards and analyzed for percentage of flow-deficits (FD%) within four 1x1mm squares at the corners of each image. Choroidal thickness (CT), iris color and refraction error were considered as potential influential factors for LCV visibility. A linear mixed model and logistic regression models were calculated for statistical ...
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  Mentions: Medical University of Vienna
14. Deep Learning–Based Automated Optical Coherence Tomography Segmentation in Clinical Routine: Getting Closer
  
  Explore The JAMA Network Jul 10 2021 Ophthalmology
  
  Recently, many ophthalmologists have heard the keywords artificial intelligence , machine learning , deep learning , and automatization at every conference and keynote lecture and seen them in every ophthalmology journal. 1 Many studies 1 have evaluated the use of such algorithms on large retrospective data sets—primarily on color fundus photographs at first, then on optical coherence tomography (OCT) images as well. Most of these have been study data sets with standardized and well-structured imaging protocols and reading center image collections with a predefined protocol, and therefore of good quality. However, how functional will algorithms be in a busy clinical routine? Can ...
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  Mentions: Medical University of Vienna
15. Spatio-temporal alterations in retinal and choroidal layers in the progression of age-related macular degeneration (AMD) in optical coherence tomography
  
  Explore Nature Publishing Group Mar 13 2021 Ophthalmology
  
  Age-related macular degeneration (AMD) is the predominant cause of vision loss in the elderly with a major impact on ageing societies and healthcare systems. A major challenge in AMD management is the difficulty to determine the disease stage, the highly variable progression speed and the risk of conversion to advanced AMD, where irreversible functional loss occurs. In this study we developed an optical coherence tomography (OCT) imaging based spatio-temporal reference frame to characterize the morphologic progression of intermediate age-related macular degeneration (AMD) and to identify distinctive patterns of conversion to the advanced stages macular neovascularization (MNV) and macular atrophy (MA ...
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  Mentions: Medical University of Vienna
16. Three-dimensional composition of the photoreceptor cone layers in healthy eyes using adaptive-optics optical coherence tomography (AO-OCT)
  
  Explore Journals | PLOS Jan 7 2021 Ophthalmology
  
  Purpose To assess the signal composition of cone photoreceptors three-dimensionally in healthy retinas using adaptive optics optical coherence tomography (AO-OCT). Methods Study population. Twenty healthy eyes of ten subjects (age 23 to 67). Procedures. After routine ophthalmological assessments, eyes were examined using AO-OCT. Three-dimensional volumes were acquired at 2.5° and 6.5° foveal eccentricity in four main meridians (superior, nasal, inferior, temporal). Cone densities and signal compositions were investigated in four different planes: the cone inner segment outer segment junction (IS/OS), the cone outer segment combined with the IS/OS (ISOS+), the cone outer segment tips (COST) and ...
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  Mentions: Medical University of Vienna Carl Zeiss Meditec Imagine Eyes
17. Three-dimensional assessment of para- and perifoveal photoreceptor densities and the impact of meridians and age in healthy eyes with adaptive-optics optical coherence tomography (AO-OCT)
  
  Explore OSA | OSA Publishing Jan 4 2021 Ophthalmology
  
  An adaptive optics optical coherence tomography (AO-OCT) system is used to assess sixty healthy eyes of thirty subjects (age 22 to 75) to evaluate how the outer retinal layers, foveal eccentricity and age effect the mean cone density. The cone mosaics of different retinal planes (the cone inner segment outer segment junction (IS/OS), the cone outer segment combined with the IS/OS (ISOS+), the cone outer segment tips (COST), and the full en-face plane (FEF)) at four main meridians (superior, nasal, inferior, temporal) and para- and perifoveal eccentricities (ecc 2.5° and 6.5°) were analyzed quantitatively. The mean ...
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  Mentions: Medical University of Vienna
18. Deliberations of an International Panel of Experts on OCTA Nomenclature of nAMD
  
  Explore Ophthalmology Dec 30 2020 Ophthalmology
  
  A panel of imaging experts was assembled to review neovascular age-related macular degeneration optical coherence tomography angiography descriptors published to date, and test agreement on use of these terms, which was found to be low. Optical coherence tomography angiography (OCTA) has been used to identify and characterize macular neovascularization (MNV) secondary to age-related macular degeneration (AMD). 1-4 Many studies have explored OCTA morphological features of MNV that might serve as biomarkers to assess disease activity and response to treatment. 1-6 The proliferation of studies however has resulted in an OCTA terminology that has been variable and inconsistent. To address inconsistency ...
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  Mentions: Massachusetts Institute of Technology Medical University of Vienna Tufts University
19. Intraretinal microvascular changes after ERM and ILM peeling using SSOCTA
  
  Explore Journals | PLOS Dec 4 2020 Ophthalmology
  
  Background To prospectively investigate retinal vascular changes in patients undergoing epiretinal membrane (ERM) and internal limiting membrane (ILM) peeling using swept source optical coherence tomography angiography (SSOCTA). Methods Consecutive patients were grouped based on ERM severity and followed using SSOCTA up to month 3 after surgical intervention. Superficial and deep foveal avascular zone (s/dFAZ) as well as foveal and parafoveal vessel density (VD) were correlated with ERM severity and visual acuity. Differences between groups were evaluated. Results Significant correlations were found between ERM severity and baseline sFAZ, dFAZ and best corrected visual acuity (BCVA), central retinal subfield thickness (CST ...
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  Mentions: Medical University of Vienna
20. Analysis of retinal nerve fiber layer birefringence in patients with glaucoma and diabetic retinopathy by polarization sensitive OCT
  
  Explore OSA | OSA Publishing Nov 6 2020 Ophthalmology
  
  The retinal nerve fiber layer (RNFL) is a fibrous tissue that shows form birefringence. This optical tissue property is related to the microstructure of the nerve fiber axons that carry electrical signals from the retina to the brain. Ocular diseases that are known to cause neurologic changes, like glaucoma or diabetic retinopathy (DR), might alter the birefringence of the RNFL, which could be used for diagnostic purposes. In this pilot study, we used a state-of-the-art polarization sensitive optical coherence tomography (PS-OCT) system with an integrated retinal tracker to analyze the RNFL birefringence in patients with glaucoma, DR, and in age-matched ...
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  Mentions: Medical University of Vienna
21. Atlas of Human Retinal Pigment Epithelium Organelles Significant for Clinical Imaging
  
  Explore IOVS Journal Jul 11 2020 Ophthalmology
  
  Purpose : To quantify organelles impacting imaging in the cell body and intact apical processes of human retinal pigment epithelium (RPE), including melanosomes, lipofuscin–melanolipofuscin (LM), mitochondria, and nuclei. Methods : A normal perifovea of a 21-year-old white male was preserved after rapid organ recovery. An aligned image stack was generated using serial block-face scanning electron microscopy and was annotated by expert readers (TrakEM, ImageJ). Acquired measures included cell body and nuclear volume ( n = 17); organelle count in apical processes ( n = 17) and cell bodies ( n = 8); distance of cell body organelles along a normalized apical–basal axis ( n = 8); and dimensions ...
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  Mentions: University of Alabama Medical University of Vienna
22. Predicting Progression of Age-Related Macular Degeneration Using Optical Coherence Tomography and Fundus Photography
  
  Explore ScienceDirect Jun 30 2020 Ophthalmology
  
  Purpose To compare the performance of automatically quantified optical coherence tomography (OCT) imaging biomarkers and conventional risk factors manually graded on color fundus photographs (CFP) for predicting progression to late age-related macular degeneration (AMD). Design Longitudinal observational study. Participants 280 eyes from 140 participants with bilateral large drusen. Methods All participants underwent OCT and CFP imaging at baseline and were then reviewed at six-monthly intervals to determine progression to late AMD. CFPs were manually graded and OCT scans underwent automated image analyses to quantify risk factors and imaging biomarkers respectively based on drusen and AMD pigmentary abnormalities. Four predictive models ...
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  Mentions: Medical University of Vienna University of Melbourne
23. End-to-end deep learning model for predicting treatment requirements in neovascular AMD from longitudinal retinal OCT imaging
  
  Explore IEEE Xplore Jun 26 2020 Ophthalmology
  
  Neovascular age-related macular degeneration (nAMD) is nowadays successfully treated with anti-VEGF substances, but interindividual treatment requirements are vastly heterogeneous and currently poorly plannable resulting in suboptimal treatment frequency. Optical coherence tomography (OCT) with its 3D high-resolution imaging serves as a companion diagnostic to anti-VEGF therapy. This creates a need for building predictive models using automated image analysis of OCT scans acquired during the treatment initiation phase. We propose such a model based on deep learning (DL) architecture, comprised of a densely connected neural network (DenseNet) and a recurrent neural network (RNN), trainable end-to-end. The method starts by sampling several 2D-images ...
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  Mentions: Medical University of Vienna
24. Computerized device and method for processing image data
  
  Explore uspto.gov Jun 9 2020 Ophthalmology , Patents
  
  A computerized device for processing image data is proposed. The computerized device comprises a receiving unit which is configured to receive optical coherence tomography data of a of a tissue, in particular of a retina, a providing unit which is configured to provide a convolutional neural network for processing the optical coherence tomography data, and a processing unit which is configured to process the received optical coherence tomography data using the convolutional neural network for identifying at least one certain object in the tissue.
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  Mentions: Medical University of Vienna
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