Search results for "Macular degeneration"

showing 10 items of 114 documents

Early OCTA Changes of Type 3 Macular Neovascularization Following Brolucizumab Intravitreal Injections

2022

Background and Objectives: Brolucizumab is a novel anti-vascular endothelial growth factor (VEGF), whose efficacy has been shown in the Hawk and Harrier phase 3 clinical studies. The goal of the present case series is to report initial results of brolucizumab intravitreal injections (IVI) on type 3 neovascularization in neovascular age-related macular degeneration (nAMD), evaluated by optical coherence tomography angiography (OCTA). Materials and Methods: This is a bicentric retrospective case series. Patients with newly diagnosed type 3 MNV treated with brolucizumab IVI and at least 6 months follow-up were enrolled. OCTA en face images and B-scans were analyzed for lesions at baseline, 1 m…

Vascular Endothelial Growth Factor Atype 3 neovascularization.brolucizumabNeovascularization PathologicVisual Acuityneovascular age-related macular degeneration; type 3 neovascularization; retinal angiomatous proliferation; brolucizumab; optical coherence tomography angiography; intravitreal injectionintravitreal injectionretinal angiomatous proliferationEndothelial Growth Factorsneovascular age-related macular degenerationGeneral MedicineAntibodies Monoclonal Humanizedoptical coherence tomography angiographyIntravitreal InjectionsHumansFluorescein AngiographyTomography Optical CoherenceRetrospective StudiesMedicina
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Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

2019

Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing insights and interpretation of the predictions made by the model is still a challenge. This paper describes a deep learning model able to detect medically interpretable information in relevant images from a volume to classify diabetes-related retinal d…

Volumetric imagingComputer scienceProfundo InterpretabilidadConvolutional neural network030218 nuclear medicine & medical imagingPattern Recognition Automatedchemistry.chemical_compoundMacular Degeneration[SPI]Engineering Sciences [physics]0302 clinical medicineDeep learning modelsInterpretabilityModelos de aprendizajeAged 80 and overArtificial neural networkmedicine.diagnostic_testMedical findings KeyWords Plus:MACULAR DEGENERATIONAngiographyMiddle AgedRetinal diseases3. Good healthComputer Science ApplicationsArea Under CurveTomographyMedical findingsAlgorithmsTomography Optical CoherenceAprendizaje - ModelosDiabetic macular edemaHealth InformaticsHallazgos médicosMacular Edema03 medical and health sciencesDeep LearningOptical coherence tomographymedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingDeep InterpretabilityHumans[INFO]Computer Science [cs]Enfermedades de la retinaRetinopathyAgedDiabetic RetinopathyOptical coherence tomographybusiness.industryDeep learningReproducibility of ResultsRetinalPattern recognitionMacular degenerationmedicine.diseasechemistryArtificial intelligenceNeural Networks ComputerLa tomografía de coherencia ópticabusinessClassifier (UML)030217 neurology & neurosurgerySoftware
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Proteomic analysis of sub-retinal deposits in age-related macular degeneration

2014

National audience

[SDE] Environmental Sciencesretina[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio]aging[SDV.IDA] Life Sciences [q-bio]/Food engineering[SDV] Life Sciences [q-bio][SDE]Environmental Sciences[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[SDV.BV] Life Sciences [q-bio]/Vegetal Biologylaser dissection microscopeage-related macular degenerationComputingMilieux_MISCELLANEOUS
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Supplémentation en oméga 3 et approche clinique dans la DMLA

2015

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionpreventionlipid[SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organsage related macular degenerationoméga 3fatty acidhumanAMDclinical study
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Plasma omega 3 polyunsaturated fatty acids and macular pigment optical density in subjects at high risk for age-related macular degeneration: the Lim…

2016

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.; Purpose: In numerous epidemiological studies, omega 3 polyunsaturated fatty acids (PUFAs) have been associated with a decreased risk of age-related macular degeneration (AMD). Beyond their structural, functional and neuroprotective roles, omega 3 PUFAs may favor the retinal accumulation of lutein and zeaxanthin and thus increase macular pigment optical density (MPOD). We examined the associations of MPOD with plasma omega 3 PUFAs in subjects with at least one parent affected by neovascular AMD. Methods: The Limpia study is a double-blind, placebo controlled, prospective randomize…

[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologymacular degenerationgenetic structuresdmlaophtalmologiefood and beveragesvision disordersdégénérescence maculaireage differencesacide gras oméga 3eye diseasesâgeophthalmology[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyOphtalmologysense organstrouble de la vision[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansComputingMilieux_MISCELLANEOUS[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Cholestérol-24S-hydroxylase (CYP46A1) et homéostasie du cholestérol dans la rétine en conditions physiologiques et pathologiques

2012

Cholesterol is the major sterol found in the retina. In its free form, cholesterol is present in all cell layers of the retina, whereas cholesteryl esters mainly accumulate at the basement of the retinal pigment epithelium. The intrinsic capacity of the retina to synthetize cholesterol appears limited. Some extra-retinal pathways actively participate to cholesterol uptake to the retina. Müller glial cells may contribute to cholesterol supply to retinal neurons, especially for synaptic formation. Cholesterol accumulation or conversely deficiency have deleterious consequences on neuron survival. Maintaining the equilibrium between cholesterol supply and neosynthesis in the one hand and choles…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesRétinePolymorphisme génétique24S-HYDROXYCHOLESTÉROLRetinaCHOLESTÉROL-24S-HYDROXYLASE24S-hydroxycholesterolMétabolisme[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyGliaPathologyGlieCholesterol-24S-hydroxylase[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPathologie[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyDégénérescence maculaire liée à l’âgeCHOLESTEROLAge-related macular degenerationGene polymorphismGlaucomaNeuronGlaucome[SDV.AEN] Life Sciences [q-bio]/Food and NutritionCYP46A1MetabolismCholestérol[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyNeurone
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Algorithms for the Automated Analysis of Age-Related Macular Degeneration Biomarkers on Optical Coherence Tomography: A Systematic Review

2017

PURPOSE To assess the quality of optical coherence tomography (OCT) grading algorithms for retinal biomarkers of age-related macular degeneration (AMD). METHODS Following a systematic review of the literature data on detection and quantification of AMD retinal biomarkers by available algorithms were extracted and descriptively synthesized. Algorithm quality was assessed using a modified version of the Quality Assessment of Diagnostic Accuracy Studies 2 checklist with a focus on accuracy against established reference standards and risk of bias. RESULTS Thirty five studies reporting computer-aided diagnosis (CAD) tools for qualitative analysis or algorithms for quantitative analysis were iden…

automated image analysisBiomedical EngineeringCADReviewDrusen030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyAge relatedmedicineGrading (tumors)age-related macular degenerationoptical coherence tomographymedicine.diagnostic_testbusiness.industryMacular degenerationmedicine.diseaseeye diseasesOphthalmologySystematic review030221 ophthalmology & optometryBiomarker (medicine)sense organsbusinessAlgorithmTranslational Vision Science & Technology
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The Role of Autophagy in Eye Diseases

2021

Autophagy is a catabolic process that ensures homeostasis in the cells of our organism. It plays a crucial role in protecting eye cells against oxidative damage and external stress factors. Ocular pathologies of high incidence, such as age-related macular degeneration, cataracts, glaucoma, and diabetic retinopathy are of multifactorial origin and are associated with genetic, environmental factors, age, and oxidative stress, among others; the latter factor is one of the most influential in ocular diseases, directly affecting the processes of autophagy activity. Alteration of the normal functioning of autophagy processes can interrupt organelle turnover, leading to the accumulation of cellula…

autophagygenetic structuresMedicinaOcular PathologyReviewAMDmedicine.disease_causeBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyCataractsmedicineViability assaylcsh:ScienceEcology Evolution Behavior and Systematicsocular pathologyBiología celularbusiness.industryAutophagyPaleontologyDiabetic retinopathyMacular degenerationmedicine.diseaseeye diseasesdiabetic retinopathyglaucomaSpace and Planetary SciencecataractOftalmologíalcsh:Qsense organsbusinessOxidative stressHomeostasis
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Body size at birth and age-related macular degeneration in old age

2019

Purpose To study associations between body size at birth and age-related macular degeneration (AMD) in old age. Methods The study sample consists of 1497 community-dwelling individuals (56.1% women) aged 67-89 years with birth data and retinal data collected twice in old age 5 years apart. Birth data (weight, length, birth order) were extracted from original birth records. Digital retinal photographs were graded to determine AMD status. Data on covariates were collected at the baseline physical examination in old age. Multivariable regression analyses were used to study the association between birth data and AMD adjusting for known confounding factors, including birth year cohort effects. R…

genetic structuresMACULOPATHYPopulationArticle03 medical and health sciences0302 clinical medicineMedicinesyntymäpainoCORONARY-HEART-DISEASE3125 Otorhinolaryngology ophthalmology10. No inequalityeducationage-related macular degenerationBirth YearPOPULATIONeducation.field_of_studyHYPERTENSIONbusiness.industryIncidence (epidemiology)age‐related macular degenerationGeneral MedicineMacular degenerationbody size at birthmedicine.diseaseObesityeye diseasessilmänpohjan ikärappeumaPREVALENCELIFEOphthalmologyBirth orderCohort effectQuartile030221 ophthalmology & optometrySUBSEQUENT RISKsense organsWEIGHTbusiness030217 neurology & neurosurgeryDemography
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Lipid nutrition and eye health

2010

 Revue non indexée dans le JCR.; International audience; According to demographic forecasts, the elderly population will represent a growing part of the developed societies in the near future. Eye diseases are the second most prevalent pathologies after the age of 65 years. Age-related macular degeneration (AMD) is the leading cause of irreversible vision loss in western countries. The number of people suffering from ocular pathologies is expected to increase sharply in the near future, becoming a socio-economic burden. Recent data indicate that lipid nutrients may represent new tools in the prevention of eye diseases, and especially AMD.

genetic structures[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionGeneral Biochemistry Genetics and Molecular BiologyAGING03 medical and health sciences0302 clinical medicineEnvironmental healthElderly populationEye healthMedicineREVIEWLIPID[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRETINA030304 developmental biology0303 health sciencesbusiness.industryMacular degenerationmedicine.diseaseeye diseases3. Good health[SDV.AEN] Life Sciences [q-bio]/Food and NutritionControl and Systems Engineering030221 ophthalmology & optometryNUTRITIONsense organsbusiness[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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