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(Investigative Ophthalmology and Visual Science. 2007;48:349-354.)
© 2007 by The Association for Research in Vision and Ophthalmology, Inc.
DOI:  10.1167/iovs.06-0493

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Quantitative Fluorescein Angiographic Analysis of Choroidal Neovascular Membranes: Validation and Correlation with Visual Function

Usha Chakravarthy,1,2 Alexander C. Walsh,1 Alyson Muldrew,2 Paul G. Updike,1 Tara Barbour,1 and SriniVas R. Sadda1

1From the Doheny Retina Institute Advanced Macular Diagnostics Lab, Doheny Image Reading Center, Doheny Eye Institute, Keck School of Medicine, at the University of Southern California, Los Angeles, California; and the 2Department of Ophthalmology, Royal Group of Hospitals, Queens University, Belfast, Northern Ireland, United Kingdom.

PURPOSE. To compare computerized analysis with traditional grading methods in the analysis of fluorescein angiograms from patients with choroidal neovascularization (CNV) due to age-related macular degeneration (AMD) and to examine the clinical relevance of parameters generated by computerized analysis by testing their relationships with clinical measures of vision.

METHODS. Custom quantitative fluorescein analysis (QFA) software was used to analyze 62 angiograms from patients with CNV for whom distance visual acuity (DVA) data were available. On applying QFA, we obtained three mathematical parameters for each lesion component: pixel area (PA), integrated intensity (II), and positive fluorescence (PF). Quotients (Q) were derived for the latter two parameters by correcting against background (b) or optic nerve (o) fluorescence (IIQb, IIQ°, PFQb, and PFQ°). The new metrics were compared with traditional grading parameters of classic CNV and lesion area. The relationships of both sets of angiographic data with measures of vision were explored by regression analyses.

RESULTS. Weighted {kappa} between QFA and traditional grading for lesion subtype assessment was high ({kappa} = 0.7). Regression analyses with PA, IIQb, IIQ°, PFQb, and PFQ° for each lesion descriptor (leakage, classic CNV, occult CNV, total lesion) as independent variables and DVA as the dependent variable showed that in every case PFQb exhibited the most significant relationship with vision (adjusted r2 = 0.26). Parameter estimates showed that for a change of 30 units on the PFQb for classic CNV, a loss of 20 letters of DVA may be expected. No parameters from traditional grading methods showed statistically significant relationships with DVA.

CONCLUSIONS. The markers of dynamic change in area and intensity of fluorescence exhibited stronger relationships with visual function than did area measurements alone.








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