AIMC Topic: Angiogenesis Inhibitors
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Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Jan 22, 2022
PURPOSE: Anti-vascular endothelial growth factor (Anti-VEGF) therapy is currently seen as the standard for treatment of neovascular AMD (nAMD). However, while treatments are highly effective, decisions for initial treatment and retreatment are often ...
Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema.
Ophthalmology. Retina
May 8, 2021
PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in real life in patients with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), and diabetic macular edema (DME) treated ac...
Macular Edema
Retinal Vein Occlusion
Vascular Endothelial Growth Factor A
Intravitreal Injections
Male
Humans
Ranibizumab
Prognosis
Middle Aged
Diabetic Retinopathy
Wet Macular Degeneration
Angiogenesis Inhibitors
Retrospective Studies
Machine Learning
Follow-Up Studies
Female
Aged
Aged, 80 and over
Subfoveal choroidal thickness changes after intravitreal ranibizumab injections in different patterns of diabetic macular edema using a deep learning-based auto-segmentation.
International ophthalmology
Mar 30, 2021
PURPOSE: To evaluate the effect of intravitreal injection of ranibizumab (IVR) on subfoveal choroidal thickness (SFCT) and its relationship with central macular thickness (CMT) and best-corrected visual acuity (BCVA) changes in eyes with center-invol...
AI-based structure-function correlation in age-related macular degeneration.
Eye (London, England)
Mar 25, 2021
Sensitive and robust outcome measures of retinal function are pivotal for clinical trials in age-related macular degeneration (AMD). A recent development is the implementation of artificial intelligence (AI) to infer results of psychophysical examina...
Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.
Ophthalmology. Retina
Jan 28, 2021
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...
Humans
Intravitreal Injections
Prognosis
Ranibizumab
Retrospective Studies
Wet Macular Degeneration
Female
Angiogenesis Inhibitors
Cross-Sectional Studies
Aged
Male
Follow-Up Studies
Aged, 80 and over
Middle Aged
Visual Acuity
Deep Learning
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.
American journal of ophthalmology
Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Recombinant Fusion Proteins
Ranibizumab
Wet Macular Degeneration
Receptors, Vascular Endothelial Growth Factor
Retinal Drusen
Humans
Choroidal Neovascularization
Neural Networks, Computer
Geographic Atrophy
Female
Aged
Models, Statistical
Middle Aged
Aged, 80 and over
Visual Acuity
Deep Learning
Sensitivity and Specificity
Tomography, Optical Coherence
ROC Curve
Male
Vascular Endothelial Growth Factor A
Angiogenesis Inhibitors
Intravitreal Injections
Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.
Eye (London, England)
Jan 7, 2021
OBJECTIVES: To study the effect of repeated retinal thickness fluctuations during the anti-VEGF therapy maintenance phase in neovascular age-related macular degeneration (nAMD).
Deep phenotype unsupervised machine learning revealed the significance of pachychoroid features in etiology and visual prognosis of age-related macular degeneration.
Scientific reports
Oct 28, 2020
Unsupervised machine learning has received increased attention in clinical research because it allows researchers to identify novel and objective viewpoints for diseases with complex clinical characteristics. In this study, we applied a deep phenotyp...
Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Sep 17, 2020
In the present study, the protective effects of myricitrin against vascular endothelial growth factor (VEGF)-induced angiogenesis of vascular endothelial cells were characterized. Cells were induced with 50 ng/mL VEGF in the presence or absence of va...
Human Umbilical Vein Endothelial Cells
Mice
Caspases
Angiogenesis Inhibitors
Matrix Metalloproteinases
Neovascularization, Physiologic
Disease Models, Animal
Neovascularization, Pathologic
Humans
Vascular Endothelial Growth Factors
Apoptosis
Biomarkers
Xenograft Model Antitumor Assays
Flavonoids
Animals
Cell Line, Tumor
Prediction of response to anti-vascular endothelial growth factor treatment in diabetic macular oedema using an optical coherence tomography-based machine learning method.
Acta ophthalmologica
Jun 22, 2020
PURPOSE: To predict the anti-vascular endothelial growth factor (VEGF) therapeutic response of diabetic macular oedema (DME) patients from optical coherence tomography (OCT) at the initiation stage of treatment using a machine learning-based self-exp...
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