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      Spectrally resolved autofluorescence imaging in posterior uveitis

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          Abstract

          Clinical discrimination of posterior uveitis entities remains a challenge. This exploratory, cross-sectional study investigated the green (GEFC) and red emission fluorescent components (REFC) of retinal and choroidal lesions in posterior uveitis to facilitate discrimination of the different entities. Eyes were imaged by color fundus photography, spectrally resolved fundus autofluorescence (Color-FAF) and optical coherence tomography. Retinal/choroidal lesions’ intensities of GEFC (500–560 nm) and REFC (560–700 nm) were determined, and intensity-normalized Color-FAF images were compared for birdshot chorioretinopathy, ocular sarcoidosis, acute posterior multifocal placoid pigment epitheliopathy (APMPPE), and punctate inner choroidopathy (PIC). Multivariable regression analyses were performed to reveal possible confounders. 76 eyes of 45 patients were included with a total of 845 lesions. Mean GEFC/REFC ratios were 0.82 ± 0.10, 0.92 ± 0.11, 0.86 ± 0.10, and 1.09 ± 0.19 for birdshot chorioretinopathy, sarcoidosis, APMPPE, and PIC lesions, respectively, and were significantly different in repeated measures ANOVA ( p < 0.0001). Non-pigmented retinal/choroidal lesions, macular neovascularizations, and fundus areas of choroidal thinning featured predominantly GEFC, and pigmented retinal lesions predominantly REFC. Color-FAF imaging revealed involvement of both, short- and long-wavelength emission fluorophores in posterior uveitis. The GEFC/REFC ratio of retinal and choroidal lesions was significantly different between distinct subgroups. Hence, this novel imaging biomarker could aid diagnosis and differentiation of posterior uveitis entities.

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          Most cited references40

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Standardization of Uveitis Nomenclature for Reporting Clinical Data. Results of the First International Workshop

            To begin a process of standardizing the methods for reporting clinical data in the field of uveitis. Consensus workshop. Members of an international working group were surveyed about diagnostic terminology, inflammation grading schema, and outcome measures, and the results used to develop a series of proposals to better standardize the use of these entities. Small groups employed nominal group techniques to achieve consensus on several of these issues. The group affirmed that an anatomic classification of uveitis should be used as a framework for subsequent work on diagnostic criteria for specific uveitic syndromes, and that the classification of uveitis entities should be on the basis of the location of the inflammation and not on the presence of structural complications. Issues regarding the use of the terms "intermediate uveitis," "pars planitis," "panuveitis," and descriptors of the onset and course of the uveitis were addressed. The following were adopted: standardized grading schema for anterior chamber cells, anterior chamber flare, and for vitreous haze; standardized methods of recording structural complications of uveitis; standardized definitions of outcomes, including "inactive" inflammation, "improvement'; and "worsening" of the inflammation, and "corticosteroid sparing," and standardized guidelines for reporting visual acuity outcomes. A process of standardizing the approach to reporting clinical data in uveitis research has begun, and several terms have been standardized.
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              Fundus autofluorescence imaging: review and perspectives.

              Fundus autofluorescence (FAF) imaging is a novel imaging method that allows topographic mapping of lipofuscin distribution in the retinal pigment epithelium cell monolayer as well as of other fluorophores that may occur with disease in the outer retina and the subneurosensory space. Excessive accumulation of lipofuscin granules in the lysosomal compartment of retinal pigment epithelium cells represents a common downstream pathogenetic pathway in various hereditary and complex retinal diseases, including age-related macular degeneration. FAF imaging has been shown to be useful with regard to understanding of pathophysiologic mechanisms, diagnostics, phenotype-genotype correlation, identification of predictive markers for disease progression, and monitoring of novel therapies. FAF imaging gives information above and beyond that obtained by conventional imaging methods, such as fundus photography, fluorescein angiography, and optical coherence tomography. Its clinical value coupled with its simple, efficient, and noninvasive nature is increasingly appreciated. This review summarizes basic principles and FAF findings in various retinal diseases.
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                Author and article information

                Contributors
                maximilian.wintergerst@ukbonn.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 August 2022
                29 August 2022
                2022
                : 12
                : 14337
                Affiliations
                [1 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Department of Ophthalmology, , University Hospital Bonn, ; Venusberg-Campus 1, 53127 Bonn, Germany
                [2 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Department of Medical Biometry, Informatics and Epidemiology, , University of Bonn/University Hospital Bonn, ; Bonn, Germany
                [3 ]GRID grid.411656.1, ISNI 0000 0004 0479 0855, Department of Ophthalmology, Inselspital, , Bern University Hospital, University of Bern, ; Bern, Switzerland
                [4 ]CenterVue, Padua, Italy
                [5 ]GRID grid.15090.3d, ISNI 0000 0000 8786 803X, Clinic of Internal Medicine III, Oncology, Hematology, Rheumatology, and Clinical Immunology, , University Hospital Bonn, ; Bonn, Germany
                Article
                18048
                10.1038/s41598-022-18048-4
                9424200
                36038591
                2c579ac5-78ea-4d38-bea2-32fc06692e8c
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 January 2022
                : 4 August 2022
                Funding
                Funded by: BONFOR GEROK Program, Faculty of Medicine, University of Bonn
                Award ID: O-137.0028
                Award Recipient :
                Funded by: Else Kroener-Fresenius Foundation and the German Scholars Organization
                Award ID: EKFS/GSO 16
                Award Recipient :
                Funded by: Universitätsklinikum Bonn (8930)
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                diagnostic markers,retina,imaging and sensing,acute inflammation,chronic inflammation,imaging,fluorescence imaging,optical imaging,eye diseases,retinal diseases,uveal diseases

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