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 (IIQ(b), IIQ degrees , PFQ(b), and PFQ degrees ). 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, IIQ(b), IIQ degrees , PFQ(b), and PFQ degrees 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 PFQ(b) exhibited the most significant relationship with vision (adjusted r(2) = 0.26). Parameter estimates showed that for a change of 30 units on the PFQ(b) 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.
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 (IIQ(b), IIQ degrees , PFQ(b), and PFQ degrees ). 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, IIQ(b), IIQ degrees , PFQ(b), and PFQ degrees 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 PFQ(b) exhibited the most significant relationship with vision (adjusted r(2) = 0.26). Parameter estimates showed that for a change of 30 units on the PFQ(b) 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.
Authors: Hossein Rabbani; Michael J Allingham; Priyatham S Mettu; Scott W Cousins; Sina Farsiu Journal: Invest Ophthalmol Vis Sci Date: 2015-01-29 Impact factor: 4.799
Authors: Nundehui Díaz-Lezama; Anne Wolf; Susanne Koch; Anna M Pfaller; Josef Biber; Xavier Guillonneau; Thomas Langmann; Antje Grosche Journal: Int J Mol Sci Date: 2021-01-25 Impact factor: 5.923