Search results for "Diabetic macular edema"

showing 10 items of 20 documents

Macular laser photocoagulation guided by spectral-domain optical coherence tomography versus fluorescein angiography for diabetic macular edema.

2011

Roberto Gallego-Pinazo1,2, Ana Marina Suelves-Cogollos1, Rosa Dolz-Marco1, J Fernando Arevalo3, Salvador García-Delpech1, J Luis Mullor4, Manuel Díaz-Llopis1,2,51Department of Ophthalmology, Hospital Universitario La Fe, Valencia, Spain; 2Centro de Investigación Biomédica en Red de Enfermedades Raras, Valencia, Spain; 3Retina and Vitreous Service, Clinical Ophthalmology Center, Caracas, Venezuela; 4Unit of Experimental Ophthalmology, Hospital Universitario La Fe, Valencia, Spain; 5University of Valencia, Faculty of Medicine, Valencia, SpainBackground: The aim of this study was to compare the efficacy of spectral-domain optical coherence tomography…

medicine.medical_specialtygenetic structuresmedicine.diagnostic_testbusiness.industryDiabetic macular edemaClinical OphthalmologySpectral domainFluorescein angiographyLasereye diseaseslaw.inventionOphthalmologyOptical coherence tomographymacular laser photocoagulationlawspectral-domain optical coherence tomographyfluorescein angiographyOphthalmologymedicinesense organsdiabetic macular edemabusinessOriginal Research
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Intraoperative dexamethasone intravitreal implant in diabetic macular edema patients undergoing phacoemulsification: The CataDex study

2021

Purpose To assess the impact of preoperative intravitreal dexamethasone implant (DexI) on functional and anatomic outcomes in patients with diabetic macular edema (DME) who underwent phacoemulsification cataract surgery. Methods Prospective and non-comparative study conducted on consecutive DME patients undergoing cataract surgery. DexI was administered 15 days before surgery and in a pro re nata regime after surgery. Main outcome measures were mean change in central retinal thickness (CRT), central subfield thickness (CST), total macular volume (TMV), and central subfield volume (CSV) from baseline to month-12. Secondary outcome was mean change in best corrected visual acuity (BCVA). Resul…

Drug ImplantsDiabetic Retinopathygenetic structuresSettore MED/30 - Malattie Apparato Visivoreal worldGeneral Medicineeye diseasesDexamethasoneMacular EdemaOphthalmologycataractIntravitreal InjectionsphacoemulsificationDiabetes MellitusHumansProspective StudiesDexamethasone implantdiabetic macular edemaGlucocorticoidsTomography Optical Coherence
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Classification of SD-OCT Volumes for DME Detection: An Anomaly Detection Approach

2016

International audience; Diabetic Macular Edema (DME) is the leading cause of blindness amongst diabetic patients worldwide. It is characterized by accumulation of water molecules in the macula leading to swelling. Early detection of the disease helps prevent further loss of vision. Naturally, automated detection of DME from Optical Coherence Tomography (OCT) volumes plays a key role. To this end, a pipeline for detecting DME diseases in OCT volumes is proposed in this paper. The method is based on anomaly detection using Gaussian Mixture Model (GMM). It starts with pre-processing the B-scans by resizing, flattening, filtering and extracting features from them. Both intensity and Local Binar…

SD-OCTgenetic structuresComputer scienceLocal binary patternsDiabetic macular edema[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 optics03 medical and health sciencesGaussian Mixture Model0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Optical coherence tomography0103 physical sciencesmedicineComputer visionSensitivity (control systems)Local Binary PatternBlindnessmedicine.diagnostic_testbusiness.industryAnomaly (natural sciences)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicine.diseaseMixture modeleye diseasesDiabetic Macular EdemaOutlierAnomaly detectionArtificial intelligencebusiness030217 neurology & neurosurgery
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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A Real-World Study of Dexamethasone Implant in Treatment-Naïve Patients with Diabetic Macular Edema: Efficacy and Correlation Between Inflammatory Bi…

2020

Purpose There has been an increasing clinical interest in specific retinal parameters as non-invasive biomarkers of retinal inflammation in diabetic macular edema (DME) that have been shown to have prognostic value, such as hyperreflective retinal fields (HRFs) and subfoveal neuroretinal detachment (SND). Methods We conducted a prospective, non-comparative study of treatment-naive patients with DME to evaluate the efficacy of a Pro Re Nata (PRN) regimen of intravitreal dexamethasone implant 0.7 mg (DexI, Ozurdex™). After administration, patients underwent subsequent injections according to PRN criteria in case of edema relapse, but not earlier than 4 months after the previous treatment. Pat…

medicine.medical_specialtyreal-worldVisual acuitygenetic structures03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePro re nataDexamethasone implant Diabetic macular edema Inflammation Intravitreal implants Ozurdex Real-worldEdemaOphthalmologymedicinedexamethasone implantAdverse effectDexamethasoneOriginal Researchbusiness.industrySettore MED/30 - Malattie Apparato VisivoRetinaleye diseasesOphthalmologyRegimenintravitreal implantschemistryinflammationOzurdex030221 ophthalmology & optometryImplantsense organsmedicine.symptombusinessdiabetic macular edema030217 neurology & neurosurgerymedicine.drugClinical ophthalmology (Auckland, N.Z.)
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Œdème maculaire diabétique : diagnostic et bilan pré-thérapeutique

2015

Pre treatmentmedicine.medical_specialtybusiness.industryDiabetic macular edema030209 endocrinology & metabolismDiabetic retinopathymedicine.diseaseWork-up03 medical and health sciencesOphthalmology0302 clinical medicineOphthalmology030221 ophthalmology & optometrymedicinebusinessMacular edemaJournal Français d'Ophtalmologie
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Switching to intravitreal fluocinolone acetonide implant for refractory diabetic macular edema: 12- and 24-month results

2021

Purpose: To report visual and anatomical outcomes of chronic/refractory diabetic macular edema (DME) treated with intravitreal fluocinolone acetonide implant. Setting: Retrospective, one arm, multicentric study. Method: Between 2013 and 2018, 27 consecutive eyes of 25 patients with chronic/refractory DME were treated with a fluocinolone acetonide intravitreal implant. Best registered visual acuity (BRVA), central retinal thickness (CRT), and Goldmann tonometry intraocular pressure (IOP) were assessed at 12 and 24 months. The need for IOP lowering treatment as well as top-up therapy during the follow-up were also assessed. Results: The duration of DME prior to treatment in our study was 54 ±…

0301 basic medicinemedicine.medical_specialtygenetic structuresDiabetic macular edemaMacular EdemaRetina03 medical and health sciences0302 clinical medicineRefractoryFluocinolone acetonideOphthalmologyDiabetes MellitusHumansMedicineGlucocorticoidsRetrospective StudiesDrug ImplantsDiabetic Retinopathybusiness.industryGeneral Medicineeye diseasesOphthalmology030104 developmental biologyFluocinolone AcetonideIntravitreal Injections030221 ophthalmology & optometryImplantbusinessmedicine.drugEuropean Journal of Ophthalmology
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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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Cellular targets in diabetic retinopathy therapy

2021

Despite the existence of treatment for diabetes, inadequate metabolic control triggers the appearance of chronic complications such as diabetic retinopathy. Diabetic retinopathy is considered a multifactorial disease of complex etiology in which oxidative stress and low chronic inflammation play essential roles. Chronic exposure to hyperglycemia triggers a loss of redox balance that is critical for the appearance of neuronal and vascular damage during the development and progression of the disease. Current therapies for the treatment of diabetic retinopathy are used in advanced stages of the disease and are unable to reverse the retinal damage induced by hyperglycemia. The lack of effective…

Inflammationbusiness.industryEndocrinology Diabetes and MetabolismInflammationDiseaseDiabetic retinopathyReviewmedicine.diseaseBioinformaticsmedicine.disease_causePathophysiologyCellular targetDiabetic retinopathyOxidative stressDiabetic macular edemaMetabolic control analysisDiabetes mellitusInternal MedicinemedicineEtiologymedicine.symptombusinessOxidative stressWorld Journal of Diabetes
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Retina Summit Karlsruhe 2009

2009

During the this year´s Retina Summit Karlsruhe, an international expert faculty of 20 highly renowned retina specialists and more than 300 participants found their way to Karlsruhe to share their knowledge of the latest trends in surgical technology and pharmacology. After an angiography course on Friday, the 1-day symposium of almost 40 short lectures covered recent developments in age-related macular degeneration and diabetic macular edema, and the implications and challenges associated with microincision vitrectomy surgery, new devices and advances in imaging technologies.

medicine.medical_specialtygenetic structuresmedicine.medical_treatmenteducationDiabetic macular edemaBiomedical EngineeringVitrectomySurgical technologyOphthalmologymedicineRetinageographySummitgeography.geographical_feature_categorymedicine.diagnostic_testbusiness.industryMacular degenerationmedicine.diseaseeye diseasesOphthalmologymedicine.anatomical_structureAngiographyOptometrysense organsbusinessOptometryExpert Review of Ophthalmology
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