Purpose: To compare the volume of various spaces visible on optical coherence tomography (OCT) images in different angiographic lesion subtypes of neovascular age-related macular degeneration (AMD).
Methods: Sixty-six cases of previously untreated, active subfoveal choroidal neovascularization (CNV) associated with AMD were retrospectively collected. CNV lesions were classified as occult with no classic CNV, minimally classic CNV, predominantly classic CNV, or CNV lesions with associated retinal angiomatous proliferation (RAP).
Purpose: To determine the intergrader reproducibility for computer-assisted grading of optical coherence tomography (OCT) images in eyes with neovascular age-related macular degeneration (AMD), by using a standardized grading procedure.
Methods: Sixty OCT image sets (of six radial lines each) were independently analyzed by two graders using validated custom software (OCTOR) to draw boundaries manually on OCT B-scans. Spaces delineated by these boundaries included retina, subretinal fluid, subretinal tissue, and pigment epithelial detachments (PEDs).
Purpose: To demonstrate the benefit of enhanced quantitative analysis of optical coherence tomography (OCT) images using computer-assisted grading to compare the short-term morphologic effects of pegaptanib and bevacizumab treatment for neovascular age-related macular degeneration (AMD).
Design: Retrospective consecutive case series.
Participants: Fifty-three cases with neovascular AMD undergoing pegaptanib or bevacizumab therapy.
Purpose: To demonstrate feature subanalysis and error correction of optical coherence tomography (OCT) data by using computer-assisted grading.
Methods: The raw exported StratusOCT (Carl Zeiss Meditec, Inc., Dublin, CA) scan data from 20 eyes of 20 patients were analyzed using custom software (termed OCTOR) designed to allow the user to define manually the retinal borders on each radial line scan.
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).