Publications by authors named "A M Joussen"

Anti-vascular endothelial growth factor (VEGF) therapies have transformed the treatment of retinal diseases. However, VEGF signaling is only one component of the complex, multifactorial pathophysiology of retinal diseases, and many patients have residual disease activity despite ongoing anti-VEGF treatment. The angiopoietin/tyrosine kinase with immunoglobulin and epidermal growth factor receptor-2 (Ang/Tie2) signaling pathway is critical to endothelial cell homeostasis, survival, integrity, and vascular stability.

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Purpose: Cataract and age-related macular degeneration (AMD) share age as a main risk factor and thus have a high coincidence. Both conditions substantially reduce visual acuity. This study aimed to assess the impact of cataract surgery on visual acuity, retinal morphology, and vascular-endothelial-growth-factor (VEGF) inhibitor therapy in patients with AMD.

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Practice patterns for neovascular age-related macular degeneration (nAMD) have evolved from the landmark registration trials of vascular endothelial growth factor (VEGF) inhibitors. Non-monthly regimens like treat-and-extend (T&E) have become popular due to their effectiveness in clinical practice. T&E regimens attempt to limit the burden of visits and treatments by allowing progressively longer treatment intervals, but in so doing, are potentially associated with the expense of treating quiescent disease.

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To longitudinally investigate the impact of best-corrected visual acuity (BCVA), non-modifiable risk factors, modifiable habits, and disease course on the vision-related quality of life (VRQOL) of patients with central serous chorioretinopathy (CSCR). We longitudinally enrolled 109 CSCR patients and 42 non-diseased control participants from our clinic. In addition to clinical examination, the National Eye Institute Visual Function Questionnaire (NEI-VFQ-39) was employed for assessments, along with questions pertaining to various aspects of lifestyle habits.

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This study aimed to evaluate the potential of human-machine interaction (HMI) in a deep learning software for discerning the malignancy of choroidal melanocytic lesions based on fundus photographs. The study enrolled individuals diagnosed with a choroidal melanocytic lesion at a tertiary clinic between 2011 and 2023, resulting in a cohort of 762 eligible cases. A deep learning-based assistant integrated into the software underwent training using a dataset comprising 762 color fundus photographs (CFPs) of choroidal lesions captured by various fundus cameras.

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