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Related Experiment Video

Updated: Jun 29, 2026

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Published on: February 19, 2014

A classification system for polypoidal choroidal vasculopathy.

Peter Cackett¹, Doric Wong, Ian Yeo

¹Singapore Eye Research Institute, Singapore.

Retina (Philadelphia, Pa.)

|October 2, 2008

Summary

This study characterizes polypoidal choroidal vasculopathy (PCV) in Chinese patients, finding demographics similar to other Asian populations. A new classification system for PCV based on lesion characteristics is proposed for improved prognosis and management.

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Characterization of Vascular Morphology of Neovascular Age-Related Macular Degeneration by Indocyanine Green Angiography

Characterization of Vascular Morphology of Neovascular Age-Related Macular Degeneration by Indocyanine Green Angiography

Published on: August 11, 2023

Related Experiment Videos

Last Updated: Jun 29, 2026

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Published on: February 19, 2014

Characterization of Vascular Morphology of Neovascular Age-Related Macular Degeneration by Indocyanine Green Angiography

Characterization of Vascular Morphology of Neovascular Age-Related Macular Degeneration by Indocyanine Green Angiography

Published on: August 11, 2023

Area of Science:

Ophthalmology
Medical Research
Choroidal Vasculopathy

Background:

Polypoidal choroidal vasculopathy (PCV) is a subtype of age-related macular degeneration.
Understanding PCV demographics and characteristics is crucial for effective management.

Purpose of the Study:

To detail the demographic and clinical features of PCV in Chinese patients.
To introduce a novel classification system for PCV.

Main Methods:

Retrospective analysis of 138 eyes from 123 PCV patients.
Ophthalmologic examinations including fundus photography and indocyanine green angiography.
Classification based on indocyanine green angiography findings.

Main Results:

Mean patient age was 68.3 years, with 62.4% males.
PCV was unilateral in 87.8% of cases; 22.8% had age-related maculopathy in the fellow eye.
Lesion characteristics varied in size, formation (cluster, single, string), and location (extrafoveal, subfoveal, juxtafoveal, peripapillary).

Conclusions:

PCV demographics and fellow eye findings align with existing reports in Asian populations.
A new PCV classification system is proposed, incorporating polyp size, location, formation, and number of areas.
This system may facilitate future clinical studies, prognosis, and management of PCV.