ABSTRACT
AIMS: Choroidal neovascularisation (CNV) in patients with X-linked retinoschisis (XLRS) has been poorly documented. This study aims to investigate the prevalence and clinical characteristics of CNV in patients with XLRS, as well as analyse the preliminary genotype-phenotype correlation. METHODS: A retrospective case series of patients with genetically confirmed XLRS was included. Demographic, clinical and genetic features were analysed, with a comparison between CNV and non-CNV eyes. RESULTS: Among 185 eyes of 129 patients with XLRS, the prevalence of CNV was 8.1% (15/185). The mean diagnostic age of all patients with CNV is 5.1±2.56 years. CNV eyes exhibited a mean best-corrected visual acuity (BCVA) (logarithm of the minimal angle of resolution) of 1.37±0.74. All CNVs were classified as subretinal and active. Peripapillary CNVs accounted for 80.0% (12/15), while subfoveal CNVs accounted for 20.0% (3/15). In CNV eyes, the prevalence of macular atrophy (5/15, 33.3%, p=0.013) and bullous peripheral schisis (14/15, 93.3%, p=0.000) was higher compared with non-CNV eyes. Additionally, CNV eyes exhibited poorer integrity of the outer retina and BCVA (p=0.007) compared with non-CNV eyes. All 15 eyes with CNV underwent anti-vascular endothelial growth factor (anti-VEGF) therapy. Genotype analysis revealed that 7 of 10 patients (70.0%, 10 eyes) were predicted to have missense variants, while 3 of 10 patients (30.0%, 5 eyes) exhibited severe variants. CONCLUSIONS: The prevalence of CNV in XLRS eyes was found to be 8.1%. All CNVs secondary to XLRS were active and classified as type 2. CNV eyes demonstrated poorer visual function and compromised retinal structures. Anti-VEGF therapy demonstrated effectiveness in treating XLRS-CNVs. No significant genotype-phenotype correlation was established.
ABSTRACT
The mathematical properties of generative adversarial networks (GANs) are presented via opinion dynamics, in which the discriminator is regarded as an agent while the generator is regarded as the principal (or another type of agent) in a GAN. In some cases, the overall convergence must be achieved through establishing a local information interaction between one agent and its neighbors via the multiagent system consistency theory and algorithms. So the goals of the multiagent consistency algorithm and the Nash equilibrium of GANs are virtually identical. Then, the existence of the Degroot model solution proves that the generator and discriminator in GANs can reach a consensus on the distribution function. Therefore, a new sufficient and necessary condition for the existence of a Nash equilibrium in GANs is obtained. Furthermore, a novel multiagent distributed GAN (MADGAN) is proposed to address the multiagent cognitive consistency problem in large-scale distributed network, based on the social group wisdom and the influence of the network structure on the agent. The nodes of a multiagent network are regarded as discriminators and generators, the discriminator with a relatively large degree of influence as a leader, and the generator as a follower, the lines with the degree denote the influence between the agents. The conditions of consensus are presented for a multigenerator and multidiscriminator (multiagent) distributed GAN by analyzing the existence of stationary distribution to the Markov chain of multiple agent states. Finally, theoretical results are verified with simulation based on the MNIST dataset.
