Diagnostic work-up of retinal vasculitis: An algorithmic approach.
Journal
Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde
ISSN: 1423-0267
Titre abrégé: Ophthalmologica
Pays: Switzerland
ID NLM: 0054655
Informations de publication
Date de publication:
05 Sep 2024
05 Sep 2024
Historique:
received:
15
02
2024
accepted:
03
08
2024
medline:
6
9
2024
pubmed:
6
9
2024
entrez:
5
9
2024
Statut:
aheadofprint
Résumé
Retinal vasculitis has heterogenous etiologies encompassing infections, autoimmune, masquerades and idiopathic. The heterogeneity in the underlying clinical features and aetiologies of retinal vasculitis makes its diagnosis challenging for clinicians and the work up thus becomes quite extensive and many a times several unwarranted investigations are done to look for a possible etiology. Timely and accurate diagnosis is crucial for effective management and vision preservation. The algorithmic approach needs understanding of the phenotype, clinical as well as imaging biomarkers so that only customized investigations are done in order to make the timely diagnosis and initiate specific therapy wherever required. In this review article, we shall present an algorithmic approach that combines clinical assessment, ophthalmic imaging, laboratory investigations, and targeted ancillary tests.
Identifiants
pubmed: 39236693
pii: 000541149
doi: 10.1159/000541149
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-18Informations de copyright
S. Karger AG, Basel.