Search results for "macular edema"

Intravitreal Plasmin Without Associated Vitrectomy as a Treatment for Refractory Diabetic Macular Edema

2009

To determine the effectiveness of a low-dose intravitreal injection of autologous plasmin enzyme (APE), without the performance of a vitrectomy, as a treatment for refractory diffuse diabetic macular edema (DDME).Prospective, comparative, interventional case series.Sixteen patients with bilateral DDME who had not responded to prior laser photocoagulation. All patients received an injection in 1 eye, while the other eye served as a control.Intravitreal 0.2 mL APE injection under topical anesthesia. The APE was obtained using a simplified method.Central macular thickness (CMT) at 1 and 6 months, determined by optical coherence tomography (OCT) and best corrected visual acuity (BCVA).All patie…

El grosor macular podría ser un predictor de la probabilidad de recidiva de los edemas maculares por oclusiones venosas de la retina tratados mediant…

2009

Carbonic anhydrase inhibitor with topical NSAID therapy to manage cystoid macular edema in a case of gyrate atrophy

2017

Purpose Gyrate atrophy of the choroid and retina (GACR) is a rare chorioretinal dystrophy characterized by a deficiency of the enzyme ornithine aminotransferase, inherited in an autosomal recessive pattern. Case Report We report a case of a 17-year-old girl with GACR, for whom the level of serum ornithine had been reduced by an arginine-restricted diet. The patient was responsive to an association of topical nonsteroidal anti-inflammatory drugs (NSAIDs) and a carbonic anhydrase inhibitor (CAI) to reduce cystoid macular edema (CME). Conclusions The efficacy of topical NSAIDs and systemic CAI association indicates that the imbalance in the distribution of retinal pigment epithelium membrane-b…

Intravitreal pegaptanib sodium for refractory pseudophakic macular oedema.

2008

Evaluate the efficacy of intravitreal pegaptanib sodium (Macugen®) in refractory pseudophakic cystoid macular oedema (CME). Prospective, nonrandomized, interventional case series. Four eyes of four patients with refractory pseudophakic CME to pars plana vitrectomy and intravitreal bevacizumab and triamcinolone, were treated with pegaptanib sodium, with a mean follow up of 4 months. Pre- and postinfection examinations included assessment of best-corrected visual acuity (BCVA) using the Early Treatment Diabetic Retinopathy Study chart (ETDRS), fluorescein angiography (FA), and optical coherence tomography (OCT). Visual acuity increased in all patients after intravitreal pegaptanib sodium. OCT…

Œdème maculaire diabétique : diagnostic et bilan pré-thérapeutique

2015

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…

Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: application to DME detections.

2016

This paper deals with the automated detection of Diabetic Macular Edema (DME) on Optical Coherence Tomography (OCT) volumes. Our method considers a generic classification pipeline with preprocessing for noise removal and flattening of each B-Scan. Features such as Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are extracted and combined to create a set of different feature vectors which are fed to a linear-Support Vector Machines (SVM) Classifier. Experimental results show a promising sensitivity/specificity of 0.75/0.87 on a challenging dataset.

Risk of Death Associated With Intravitreal Anti-Vascular Endothelial Growth Factor Therapy: A Systematic Review and Meta-analysis.

2020

Importance Although intravitreal anti–vascular endothelial growth factor (VEGF) treatment represents the first-line therapy for many retinal diseases, the issue of their systemic safety is debatable. Objectives To assess whether intravitreal anti-VEGF therapy might be associated with increased risk of mortality and which variables are associated with the increase. Data Sources PubMed, MEDLINE, and Embase databases, the Cochrane Library, and ClinicalTrials.gov were systematically searched from inception to May 6, 2019. Study Selection Randomized clinical trials comparing intravitreal anti-VEGF treatment with control groups and with follow-up of at least 6 months were selected. Data Extractio…

Intravitreal dexamethasone implant versus anti-vascular endothelial growth factor therapy combined with cataract surgery in patients with diabetic ma…

2021

Objective: to compare outcomes of cataract surgery combined with either anti-Vascular Endothelial Growth Factor (anti-VEGF) therapy or dexamethasone implant (DEX) in patients with diabetic macular oedema (DMO). Methods: Pubmed and Embase databases were searched for studies reporting outcomes of diabetic cataract surgery combined with either anti-VEGF or DEX, with a follow-up ≥3 months. The primary outcome was the mean change in central macular thickness (CMT). Mean change in best corrected visual acuity (BCVA) was considered as a secondary outcome. The mean difference between baseline and post-treatment values (MD) with 95%-Confidence Interval (95%CI) was calculated and meta-analyses were p…

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…