Glaucoma is known as the leading cause of irreversible vision loss, characterised by its underlying neurodegenerative process targeting ganglion cells and their axons, ultimately leading to reshaping and excavation of the optic nerve head. This kind of structural impairment yields major functional repercussions, such as diminished visual fields, affecting routine activities, and can potentially result in total blindness if not managed adequately. Hence, effective monitoring to detect and determine the progression rate of glaucoma is vital for patient care and treatment planning.
In modern clinical practice, an array of technologies, applications, and tools aids clinicians in the effective, prompt detection and monitoring of glaucoma progression. Visual field testing, along with optical coherence tomography (OCT), stands out as the primary functional and structural assessment tool employed. These technologies offer critical metrics like the retinal nerve fibre layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), and optic nerve head morphometry, which are diligently tracked to assess deterioration in eyes afflicted with glaucoma. Despite these advancements, challenges arise, including recognising fast progressors and evaluating cases with unique phenotypes, such as those with high myopia. Innovations in parameters and applications can potentially enhance the existing glaucoma monitoring framework significantly. Moreover, the application of artificial intelligence (AI) algorithms offers promising enhancements to clinical capabilities for detecting progression, making it a significant research focus.
This Research Topic aspires to encapsulate recent advancements in monitoring glaucoma progression, utilising both established clinical modalities and pioneering applications. It also aims to forge pathways for novel parameters and strategies in patient management. We invite original research articles, comprehensive reviews, mini-reviews, and editorials dedicated to expanding the current understanding and offering new insights that inform strategic directions in managing glaucoma effectively.
To gather further insights into evolving glaucoma progression monitoring methods, we encourage articles that address, but are not limited to, the following themes:
- Functional and structural modalities in monitoring glaucoma progression - Novel parameters for enhanced glaucoma detection - Challenges in identifying fast-progressing cases and unique phenotypes - Integration and application of artificial intelligence in glaucoma monitoring - Advances in optic nerve head morphometry - Role of telemedicine in glaucoma management - Case studies highlighting unique patient presentations and outcomes
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
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