Background: Polypoidal choroidal vasculopathy (PCV) is a complex vascular disorder characterized by a branching neovascular network with polypoidal lesions at its termini. Despite extensive research, the etiology and pathogenesis of PCV remain inadequately understood, and the condition exhibits significant clinical and pathological heterogeneity. In recent years, numerous studies have identified potential subtypes within PCV and proposed various classification schemes. However, a universally accepted classification system for PCV has yet to be established.
Purpose: This review aims to provide a comprehensive overview of the different classification methods for PCV that have emerged alongside advancements in imaging technologies and a deeper understanding of PCV, highlighting their clinical relevance and prognostic implications.
Methods: A systematic search of PubMed, Embase, Web of Science, and Cochrane databases was conducted. Literature management was facilitated using EndNote X9 software.
Results: By synthesizing existing classification approaches, this paper seeks to offer a clearer understanding of PCV subtypes, which may guide future research and inform treatment strategies.
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http://dx.doi.org/10.1007/s10792-024-03338-9 | DOI Listing |
Asia Pac J Ophthalmol (Phila)
January 2025
The Primasia International Eye Research Institute of The Chinese University of Hong Kong (Shenzhen), Shenzhen, China. Electronic address:
A panel of 21 international experts are formed by the Asia-Pacific Vitreo-retina Society to work out the consensus and guidelines on polypoidal choroidal vasculopathy (PCV). PCV is a common subtype of neovascular age-related macular degeneration and is more prevalent in Asian populations. Recent advancement in imaging technology allows greater understanding of the disease process of PCV.
View Article and Find Full Text PDFAsia Pac J Ophthalmol (Phila)
January 2025
Rothschild Foundation Hospital, Institut Français de Myopie, Paris, France; Singapore Eye Research Institute, Singapore National Eye Center, Singapore; Privatpraxis Prof Jonas und Dr. Panda-Jonas, Heidelberg, Germany; Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China; New York Eye and Ear Infirmary of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Taiwan J Ophthalmol
October 2024
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
This report describes a patient with polypoidal choroidal vasculopathy (PCV) with fovea-involving retinal pigment epithelium (RPE) tear that showed tissue remodeling with a good visual outcome. Imaging over the patient's clinical course from 2019 was reviewed. A 74-year-old female presented with left submacular hemorrhage and a large multi-lobular pigment epithelial detachment.
View Article and Find Full Text PDFRetina
January 2025
Manchester Royal Eye Hospital, Manchester University NHS Foundation Trust, United Kingdom.
Purpose: The objective of this study was to add to the limited literature of Focal Scleral Nodule (FSN).
Methods: This study was a single-centre, retrospective, observational case series performed at Manchester Royal Eye Hospital (United Kingdom). Nineteen eyes from nineteen patients over a thirteen year period (January 2011 to January 2024) were included.
Invest Ophthalmol Vis Sci
January 2025
Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Purpose: A projection-resolved optical coherence tomography angiography (PR-OCTA) algorithm with slab-specific strategy was applied in polypoidal choroidal vasculopathy (PCV) to differentiate between polyp and branching vascular network (BVN) and improve polyp detection by en face OCTA.
Methods: Twenty-nine participants diagnosed with PCV by indocyanine green angiography (ICGA) and 30 participants diagnosed with typical neovascular age-related macular degeneration (nAMD) were enrolled. Polyps were classified into three categories after using the slab-specific PR algorithm.
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