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Recent advances in corneal neovascularization imaging.

Authors :
Wen, Yinuo
Chen, Zhongxing
McAlinden, Colm
Zhou, Xingtao
Huang, Jinhai
Source :
Experimental Eye Research. Jul2024, Vol. 244, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Corneal neovascularization (CoNV) is a vision-threatening ocular disease commonly secondary to infectious, inflammatory, and traumatic etiologies. Slit lamp photography, in vivo confocal microscopy, angiography, and optical coherence tomography angiography (OCTA) are the primary diagnostic tools utilized in clinical practice to evaluate the vasculature of the ocular surface. However, there is currently a dearth of comprehensive literature that reviews the advancements in imaging technology for CoNV administration. Initially designed for retinal vascular imaging, OCTA has now been expanded to the anterior segment and has shown promising potential for imaging the conjunctiva, cornea, and iris. This expansion allows for the quantitative monitoring of the structural and functional changes associated with CoNV. In this review, we emphasize the impact of algorithm optimization in anterior segment-optical coherence tomography angiography (AS-OCTA) on the diagnostic efficacy of CoNV. Through the analysis of existing literature, animal model assessments are further reported to investigate its pathological mechanism and exhibit remarkable therapeutic interventions. In conclusion, AS-OCTA holds broad prospects and extensive potential for clinical diagnostics and research applications in CoNV. [Display omitted] • Faults refer to rough and invasive are evident in photography and angiography. • OCTA realizes the qualitative and accurate diagnosis of corneal neovascularization. • Evolution of algorithms allow OCTA in further clinical and experimental practice. • It demands solution to address artifacts and narrow view to optimize the technology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00144835
Volume :
244
Database :
Academic Search Index
Journal :
Experimental Eye Research
Publication Type :
Academic Journal
Accession number :
177866442
Full Text :
https://doi.org/10.1016/j.exer.2024.109930