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Smartphone Fundus Photography
Published on: July 6, 2017
Multicolor Fundus Imaging of Polypoidal Choroidal Vasculopathy
Colin S Tan1, Dominic S Ting2, Louis W Lim3
1Fundus Image Reading Centre, National Healthcare Group Eye Institute, Singapore; National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore; Duke-NUS Medical School, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Multicolor imaging effectively detects polypoidal choroidal vasculopathy (PCV) lesions, showing distinct features compared to standard methods. This noninvasive technique aids in identifying PCV, potentially guiding further diagnostic investigations.
Area of Science:
- Ophthalmology
- Medical Imaging
- Retinal Diseases
Background:
- Polypoidal choroidal vasculopathy (PCV) is a distinct subtype of neovascular age-related macular degeneration.
- PCV has unique clinical characteristics, treatment responses, and visual outcomes.
- Novel imaging techniques are needed to better understand and diagnose PCV.
Purpose of the Study:
- To describe the features of PCV using multicolor imaging.
- To compare multicolor imaging findings with standard color fundus photography (CFP).
Main Methods:
- A cross-sectional study involving 50 treatment-naive PCV patients.
- Multimodal imaging including CFP, multicolor imaging, fluorescein angiography, and ICGA was performed.
- Retinal specialists graded images to identify PCV lesion components and compare findings across imaging modalities.
Main Results:
- Multicolor imaging detected polyps in 98% of patients, appearing as dark gray/green oval lesions.
- Branching vascular networks (BVN) were observed in 60% of patients.
- Other detected features included pigment epithelial detachments (PEDs), hemorrhages, and drusen.
Conclusions:
- Multicolor imaging is highly effective in detecting polypoidal lesions in PCV patients.
- PCV lesion appearance on multicolor imaging differs from CFP but correlates in location and shape.
- Multicolor imaging serves as a valuable noninvasive tool for PCV detection, potentially indicating the need for ICGA.
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