Imaging of vascular abnormalities in ocular surface disease

The vascular system of the ocular surface plays a central role in infectious, autoimmune, inflammatory, traumatic and neoplastic diseases. The development, application, and monitoring of treatments for vascular abnormalities depends on the in vivo analysis of the ocular surface vasculature. Until re...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Survey of ophthalmology Jg. 67; H. 1; S. 31 - 51
Hauptverfasser: Romano, Vito, Steger, Bernhard, Ahmad, Mohammad, Coco, Giulia, Pagano, Luca, Ahmad, Sajjad, Zhao, Yitian, Zheng, Yalin, Kaye, Stephen B
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Inc 01.01.2022
Schlagworte:
angiography
Corneal neovascularization
Eye
Eye Diseases
Fine needle
Fluorescein Angiography - methods
Humans
Microscopy, Confocal - methods
OCT-A
Ocular surface
Reproducibility of Results
Tomography, Optical Coherence - methods
Vascularization
OCT
LSCD
Ocular surface
OCT-A
angiography
Vascularization
DSA
PDI
ICGA
HSK
FSLB
VBR
AI
HSV
MCA
LCA
OSN
ICG
Corneal neovascularization
ROI
Fine needle
CoNV
IVCM
FA
PAM
ISSN:0039-6257, 1879-3304, 1879-3304
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The vascular system of the ocular surface plays a central role in infectious, autoimmune, inflammatory, traumatic and neoplastic diseases. The development, application, and monitoring of treatments for vascular abnormalities depends on the in vivo analysis of the ocular surface vasculature. Until recently, ocular surface vascular imaging was confined to biomicroscopic and color photographic assessment, both limited by poor reproducibility and the inability to image lymphatic vasculature in vivo. The evolvement and clinical implementation of innovative imaging modalities including confocal microscopy, intravenous, and optical coherence tomography–based angiography now allows standardized quantitative and functional vascular assessment with potential applicability to automated analysis algorithms and diagnostics.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:0039-6257
1879-3304
1879-3304
DOI:10.1016/j.survophthal.2021.05.001