1. University of Bonn

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    1. Mentioned In 65 Articles

    2. Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration

      Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration
      Purpose: To investigate macular curvature, including the evaluation of potential associations and the dome-shaped macular configuration, given the increasing myopia prevalence and expected associated macular malformations. Methods: The study included a total of 65,440 subjects with a mean age ( SD) of 57.3 8.11 years with spectral-domain optical coherence tomography (OCT) data from a unique contemporary resource for the study of health and disease that recruited more than ...
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    3. Cynomolgus monkey’s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation

      Cynomolgus monkey’s choroid reference database derived from hybrid deep learning optical coherence tomography segmentation
      Cynomolgus monkeys exhibit human-like features, such as a fovea, so they are often used in non-clinical research. Nevertheless, little is known about the natural variation of the choroidal thickness in relation to origin and sex. A combination of deep learning and a deterministic computer vision algorithm was applied for automatic segmentation of foveolar optical coherence tomography images in cynomolgus monkeys. The main evaluation parameters were choroidal thickness and surface area ...
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    4. Structural retinal changes in cerebral small vessel disease

      Structural retinal changes in cerebral small vessel disease
      Cerebral small vessel disease (CSVD) is an important contributor to cognitive impairment and stroke. Previous research has suggested associations with alterations in single retinal layers. We have assessed changes of all individual retinal layers in CSVD using high-resolution optical coherence tomography (OCT) for the first time. Subjects with recent magnetic resonance imaging (MRI) underwent macular and peripapillary retinal imaging using OCT for this casecontrol study. Number and volume ratio index ...
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    5. Outcome of a polymer-free drug-coated coronary stent in bifurcation lesions—Pilot registry with serial OCT imaging

      Outcome of a polymer-free drug-coated coronary stent in bifurcation lesions—Pilot registry with serial OCT imaging
      Background: Polymer-free and carrier-free drug-coated stents (DCS) represent a novel therapeutic option for the treatment of coronary artery disease. The objective of this pilot registry is to evaluate the safety and efficacy of DCS implantation in bifurcation lesions. Methods: Overall, 23 consecutive patients with 24 lesions received a Biolimus A9-coated DCS for coronary bifurcation lesions. Patients were examined with quantitative coronary angiography (QCA) and optical coherence tomography (OCT) at 3-6 ...
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    6. Sodium-Iodate Injection Can Replicate Retinal Degenerative Disease Stages in Pigmented Mice and Rats: Non-Invasive Follow-Up Using OCT and ERG

      Sodium-Iodate Injection Can Replicate Retinal Degenerative Disease Stages in Pigmented Mice and Rats: Non-Invasive Follow-Up Using OCT and ERG
      Purpose: The lack of suitable animal models for (dry) age-related macular degeneration (AMD) has hampered therapeutic research into the disease, so far. In this study, pigmented rats and mice were systematically injected with various doses of sodium iodate (SI). After injection, the retinal structure and visual function were non-invasively characterized over time to obtain in-depth data on the suitability of these models for studying experimental therapies for retinal degenerative diseases ...
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    7. Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study

      Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
      Retinal assessments have been discussed as biomarkers for brain atrophy. However, available studies did not investigate all retinal layers due to older technology, reported inconsistent results, or were based on small sample sizes. We included 2872 eligible participants of the Rhineland Study with data on spectral domainoptical coherence tomography (SDOCT) and brain magnetic resonance imaging (MRI). We used multiple linear regression to examine relationships between retinal measurements and volumetric brain ...
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    8. Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study

      Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study
      Background/rationale Artificial intelligence (AI)-based clinical decision support tools, being developed across multiple fields in medicine, need to be evaluated for their impact on the treatment and outcomes of patients as well as optimisation of the clinical workflow. The RAZORBILL study will investigate the impact of advanced AI segmentation algorithms on the disease activity assessment in patients with neovascular age-related macular degeneration (nAMD) by enriching three-dimensional (3D) retinal optical ...
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    9. The APOSTEL 2.0 Recommendations for Reporting Quantitative Optical Coherence Tomography Studies

      The APOSTEL 2.0 Recommendations for Reporting Quantitative Optical Coherence Tomography Studies
      Objective: To update the consensus recommendations for reporting of quantitative optical coherence tomography (OCT) study results, thus revising the previously published Advised Protocol for OCT Study Terminology and Elements (APOSTEL) recommendations. Methods: To identify studies reporting quantitative OCT results, we performed a PubMed search for the terms "quantitative" and "optical coherence tomography" from 2015 to 2017. Corresponding authors of the identified publications were invited to provide feedback on the initial ...
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    10. Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements

      Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements
      Quantifying intraocular inflammation is crucial in managing uveitis patients. We assessed the minimum B-scan density for reliable automated vitreous intensity (VI) assessment, using a novel approach based on optical coherence tomography (OCT). OCT volume scans centered on the macula were retrospectively collected in patients with uveitis. Nine B-scans per volume scan at fixed locations were automatically analyzed. The following B-scan selections were compared against the average score of 9 B-scans ...
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    11. Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence

      Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence
      Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance Explainability (T-REX) technique. The proposed application was based on three components: ground truth generation by multiple graders, calculation of Hamming distances among graders and the machine learning algorithm, as well as ...
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    12. Hyper-reflectivity on optical coherence tomography in macular telangiectasia type 2

      Hyper-reflectivity on optical coherence tomography in macular telangiectasia type 2
      Purpose: To define, characterize and classify hyper-reflectivity on optical coherence tomography (OCT) and report its prevalence in macular telangiectasia type 2 (MacTel). Methods: In a primary cross-sectional analysis, multimodal imaging data were retrospectively analyzed. The definition of hyper-reflectivity and neovascularization on OCT followed OCT-angiography-based criteria. Eyes were graded for the presence of hyper-reflectivity and neovascularization and further categorized into three classes based on position and extent of hyper-reflectivity. In a ...
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    13. Validation of an Automated Quantification of Relative Ellipsoid Zone Reflectivity on Spectral Domain-Optical Coherence Tomography Images

      Validation of an Automated Quantification of Relative Ellipsoid Zone Reflectivity on Spectral Domain-Optical Coherence Tomography Images
      Purpose : Relative ellipsoid zone reflectivity (rEZR) represents a potential biomarker of photoreceptor health on spectral-domain optical coherence tomography (SD-OCT). Because manual quantification of rEZR is laborious and lacks of spatial resolution, automated quantification of the rEZR would be beneficial. The purpose of this study was to evaluate the reliability and reproducibility of an automated rEZR quantification method. Methods : The rEZR was acquired using a manual and an automated approach in ...
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    14. Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration

      Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration
      Importance Sensitive outcome measures for disease progression are needed for treatment trials in geographic atrophy (GA) secondary to age-related macular degeneration (AMD). Objective To quantify photoreceptor degeneration outside regions of GA in eyes with nonexudative AMD, to evaluate its association with future GA progression, and to characterize its spatio-temporal progression. Design, Setting, and Participants Monocenter cohort study (Directional Spread in Geographic Atrophy [ NCT02051998 ]) and analysis of data from a normative ...
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    15. Artificial intelligence recognizes deteriorating photoreceptors

      Artificial intelligence recognizes deteriorating photoreceptors
      Software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD). This innovative approach permits the fully automated measurement of the main atrophic lesions using data from optical coherence tomography, which ...
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    16. OCT-Angiography in Geographic Atrophy

      OCT-Angiography in Geographic Atrophy
      Geographic atrophy (GA) represents the nonexudative late stage of age-related macular degeneration (AMD) and constitutes a leading cause of legal blindness in the developed world. It is characterized by areas of loss of outer retinal layers including photoreceptors, degeneration of the retinal pigment epithelium, and rarefication of the choriocapillaris. As all three layers are functionally connected, the precise temporal sequence and relative contribution of these layers towards the development and ...
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  2. About University of Bonn

    University of Bonn

    University of Bonn was founded almost 200 years ago and is considered to be one of Germany's and indeed Europe's most important institutes of higher education. As home of learning to over 27,000 students, we enjoy an outstanding reputation both at home and abroad.  The University of Bonn is one of the world's leading research based Universities and therefore it is no surprise that we operate on an international level. We particularly specialize in the fields of research and teaching and this has led to our evolving into the position of a truly prominent international institution.