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Related Experiment Video

Updated: May 20, 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

[Polypoidal choroidal vasculopathy].

D A Märker¹, H Helbig, M A Gamulescu

¹Klinik und Poliklinik für Augenheilkunde, Universitätsklinikum Regensburg. maerker@eye-regensburg.de

Klinische Monatsblatter Fur Augenheilkunde

|July 27, 2012

Summary

This summary is machine-generated.

Polypoidal choroidal vasculopathy (PCV) is a retinal disease characterized by fluid detachments. Indocyanine green angiography helps detect PCV in patients unresponsive to anti-VEGF therapy, suggesting alternative treatments.

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

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Area of Science:

Ophthalmology
Retinal Vascular Diseases
Choroidal Neovascularization

Context:

Polypoidal choroidal vasculopathy (PCV) is a distinct subtype of age-related macular degeneration.
PCV presents with characteristic posterior pole alterations, including serous or serosanguineous detachments of the retina or retinal pigment epithelium (RPE).
The optimal therapeutic strategy for PCV remains incompletely defined.

Purpose:

To highlight the diagnostic utility of indocyanine green angiography in identifying PCV.
To discuss alternative therapeutic options for PCV patients unresponsive to standard treatments.

Summary:

PCV, a condition known for nearly 30 years, involves retinal and RPE detachments.
Patients not responding well to intravitreal anti-VEGF treatments may have PCV, identifiable via indocyanine green angiography.
Alternative treatments like photodynamic therapy or laser photocoagulation are considered for PCV.

Impact:

Improved diagnostic accuracy for PCV.
Informed therapeutic decision-making for challenging retinal vascular conditions.
Potential for better visual outcomes in PCV patients through tailored treatment approaches.