Optical Coherence Tomography in the Diagnosis of Open-angle Glaucoma DOI Creative Commons
Y. Yusef, E. E. Kazaryan

Ophthalmology in Russia, Journal Year: 2024, Volume and Issue: 21(4), P. 650 - 657

Published: Dec. 22, 2024

This literature review provides information on the capabilities and role of OCT-A in diagnosis open-angle glaucoma. The need for non-invasive methods assessing ocular vasculature has led to development OCT-angiography (OCT-A), which state both retinal structure its vascular bed through blood flow analysis, further increasing value this imaging method compared conventional OCT. Blood assessment with can be used detect many abnormalities, such as definition areas non-perfusion, non-functioning vessels, appearance new vessels that are avascular, increased vascularity, presence micro- macroaneurysms, capillary remodeling, macular telangiectasia, venous malformations. is a tool choroidal vasculature, providing unique view system combined from other modalities complement eventually provide assist eye care practitioner diagnosing or evaluating effectiveness interventions. parameters measured peripapillary region, monitoring vessel density important assess glaucoma progression predict rate disease worsening. Studies show strong correlation between OCT parameters, visual function by field analysis glaucomatous eyes. Future prospects diagnostics using artificial intelligence structural functional features based early changes will opportunities identification patients at high risk developing rapidly progressing potential become part treatment.

Language: Английский

Age and Gender-Related Changes in Choroidal Thickness: Insights from Deep Learning Analysis of Swept-Source OCT Images DOI Creative Commons
Dan Song, Guanzheng Wang, Guangfeng Liu

et al.

Photodiagnosis and Photodynamic Therapy, Journal Year: 2025, Volume and Issue: unknown, P. 104511 - 104511

Published: Feb. 1, 2025

The choroid is a vital vascular layer of the eye, essential for maintaining ocular health. Understanding its structural variations, particularly choroidal thickness (CT), crucial early detection diseases, such as age-related macular degeneration (AMD), high myopia (HM), and diabetes mellitus (DM). Recent advancements in deep learning have significantly improved segmentation measurement layers. This study aims to investigate age- gender-related changes CT components through analysis swept-source optical coherence tomography (SS-OCT) images. A total 262 participants (136 females 126 males) were recruited from Peking University International Hospital. Exclusion criteria included pathologies systemic conditions. SS-OCT was utilized CT, Sattler layer-choriocapillaris complex (SLCCT), Haller (HLT) measurements. auto-measurement method, based on algorithms, ensured accuracy. Ethics approval informed consent obtained all participants. Significant thinning SLCCT observed after age 60, with HLT declining 30. Females exhibited marked between ages 40 50, while males began show at 60. research highlights thickness, particular emphasis gender differences. findings suggest that experience earlier thinning, potentially attributable hormonal changes. Additionally, validates efficiency algorithms measuring thereby enhancing reliability clinical practice.

Language: Английский

Citations

0
Dual-Branch Network with Hybrid Attention for Multimodal Ophthalmic Diagnosis DOI Creative Commons

Xudong Wang,

A. Cao,

Caiye Fan

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(6), P. 565 - 565

Published: May 25, 2025

In this paper, we propose a deep learning model based on dual-branch with hybrid attention mechanism for meeting challenges in the underutilization of features ophthalmic image diagnosis and limited generalization ability traditional single modal models when using imbalanced data. Firstly, architecture layout is designed, which left right branches use residual blocks to deal 2D 3D volume, respectively. Secondly, frequency domain transform-driven module innovated, consists attention, spatial channel respectively, solve problem inefficiency network feature extraction. Finally, through multi-scale grouped fusion mechanism, local details global structure information bimodal modalities are integrated, solves caused by heterogeneity features. The experimental results show that accuracy MOD-Net improved 1.66% 1.14% over GeCoM-Net ViT-2SPN, It can be concluded effectively mines correlation multimodal images provides new paradigm intelligent diseases.

Language: Английский

Citations

0
Age and Gender-Related Changes in Choroidal Thickness: Insights from Deep Learning Analysis of Swept-Source OCT Images DOI
Guangfeng Liu, Dan Song, Guanzheng Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Optical Coherence Tomography in the Diagnosis of Open-angle Glaucoma DOI Creative Commons
Y. Yusef, E. E. Kazaryan

Ophthalmology in Russia, Journal Year: 2024, Volume and Issue: 21(4), P. 650 - 657

Published: Dec. 22, 2024

This literature review provides information on the capabilities and role of OCT-A in diagnosis open-angle glaucoma. The need for non-invasive methods assessing ocular vasculature has led to development OCT-angiography (OCT-A), which state both retinal structure its vascular bed through blood flow analysis, further increasing value this imaging method compared conventional OCT. Blood assessment with can be used detect many abnormalities, such as definition areas non-perfusion, non-functioning vessels, appearance new vessels that are avascular, increased vascularity, presence micro- macroaneurysms, capillary remodeling, macular telangiectasia, venous malformations. is a tool choroidal vasculature, providing unique view system combined from other modalities complement eventually provide assist eye care practitioner diagnosing or evaluating effectiveness interventions. parameters measured peripapillary region, monitoring vessel density important assess glaucoma progression predict rate disease worsening. Studies show strong correlation between OCT parameters, visual function by field analysis glaucomatous eyes. Future prospects diagnostics using artificial intelligence structural functional features based early changes will opportunities identification patients at high risk developing rapidly progressing potential become part treatment.

Language: Английский

Citations

0