June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
A Prospective, Multi-Center Study on the Characteristic Features of Polypoidal Choroidal Vasculopathy on Fluorescein Angiography
Author Affiliations & Notes
  • Colin Tan
    Ophthalmology, National Healthcare Group Eye Instiute, Singapore, Singapore
    Fundus Image Reading Center, National Healthcare Group Eye Instiute, Singapore, Singapore
  • Nikolle Tan
    Ophthalmology, National Healthcare Group Eye Instiute, Singapore, Singapore
    Fundus Image Reading Center, National Healthcare Group Eye Instiute, Singapore, Singapore
  • Tock Lim
    Ophthalmology, National Healthcare Group Eye Instiute, Singapore, Singapore
    Fundus Image Reading Center, National Healthcare Group Eye Instiute, Singapore, Singapore
  • Footnotes
    Commercial Relationships Colin Tan, None; Nikolle Tan, Novartis (C), Novartis (R), Novartis (S), Bayer (C), Bayer (R), Bayer (S), Allergan (R), Allergan (S); Tock Lim, Heidelberg Engineering (R), Novartis (R), Bayer (R)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 14. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      Colin Tan, Nikolle Tan, Tock Lim, EVEREST Study Group; A Prospective, Multi-Center Study on the Characteristic Features of Polypoidal Choroidal Vasculopathy on Fluorescein Angiography. Invest. Ophthalmol. Vis. Sci. 2013;54(15):14.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract
 
Purpose
 

Polypoidal choroidal vasculopathy (PCV) and age-related macular degeneration (AMD) share many common clinical features, but the diseases have different clinical courses and visual prognoses. It is believed that PCV and AMD are indistinguishable using flurorescein angiography (FA) alone. However, indocyanine green angiography (ICGA) may be contraindicated in some patients. In such cases, ophthalmologists may need to make a diagnosis based on FA or clinical features. We aimed to describe the distinguishing FA features of PCV compared to neovascular AMD and determine the predictive value of these features in the diagnosis of PCV.

 
Methods
 

The EVEREST study was a prospective, multi-center study of 78 patients - 60 with PCV and 18 with neovascular AMD. All patients underwent dilated color fundus photography and confocal scanning laser ophthalmoscopy FA and ICGA using standardized imaging protocols. The angiographic features were independently graded by masked graders (Fellowship-trained ophthalmologists) from an image Reading Center using standardized diagnostic algorithms. The diagnosis of PCV or AMD was confirmed using ICGA. Predictive features for PCV on FA were analyzed using multiple logistic regression.

 
Results
 

Patients with PCV had predominantly occult choroidal neovascularisation (CNV) on FA (90.0% vs. 73.3% of AMD patients), while classic CNV was less frequent (5.0% vs. 22.2%). The mean area of classic CNV was significantly smaller in patients with PCV (0.09 vs. 0.65 mm2, p=0.005). The presence of a nodular hyperfluorescent area on stereoscopic FA, which corresponded to the clinical location of the polyp, was highly predictive of PCV (80.0% vs. 16.7%, p<0.001). Blockage of fluorescence on FA occurred more frequently in PCV (61.7% vs. 16.7%, p=0.001). Using logistic regression analysis, the most predictive features for PCV were nodular hyperfluorescence (p=0.001) and blocked fluorescence (p=0.018).

 
Conclusions
 

This study has identified several distinguishing features on FA which are highly predictive of PCV compared to AMD. In situations where confirmatory investigations such as ICGA are unvailable or contra-indicated, it may be possible to identify patients who are likely to have PCV using FA characteristics alone. Ophthalmologists who detect such features on FA should have a high index of suspicion for PCV.

 
Keywords: 412 age-related macular degeneration • 550 imaging/image analysis: clinical • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×