Treatment of age-related subfoveal neovascular membranes by teletherapy:a pilot study

This investigation was designed to determine whether low dose radiation to the macular region could influence the natural course of age-related subfoveal neovascularisation. Nineteen patients with subfoveal membranes due to age-related macular degeneration (ARMD) were treated with 10 or 15 Gy of 6 MV photons and seven patients who declined treatment were followed up as controls. Six controls and all treated patients had completed follow up times of at least 12 months. Visual acuity was maintained or improved in 78% and 63% of treated patients at their 6 and 12 month follow up examinations respectively. By contrast visual acuity showed steady deterioration in six of seven controls. Significant neovascular membrane regression, as measured by image analysis, was recorded in 68% and 77% of treated patients at 6 and 12 months post-radiation, whereas the membranes in all seven control patients showed progressive enlargement. This study suggests that low doses of radiation can maintain central vision and induce regression of subfoveal neovascular membranes of ARMD in a significant proportion of patients. We now believe it appropriate to proceed to a prospective randomised study to test this hypothesis further.

Fundus image registration algorithms for a pc-based image processing system

We have developed digital image registration program for a MC 68000 based fundus image processing system (FIPS). FIPS not only is capable of executing typical image processing algorithms in spatial as well as Fourier domain, the execution time for many operations has been made much quicker by using a hybrid of "C", Fortran and MC6000 assembly languages.

Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images

Age-related Macular Degeneration (AMD) is one of the major causes of vision loss and blindness in ageing population. Currently, there is no cure for AMD, however early detection and subsequent treatment may prevent the severe vision loss or slow the progression of the disease. AMD can be classified into two types: dry and wet AMDs. The people with macular degeneration are mostly affected by dry AMD. Early symptoms of AMD are formation of drusen and yellow pigmentation. These lesions are identified by manual inspection of fundus images by the ophthalmologists. It is a time consuming, tiresome process, and hence an automated diagnosis of AMD screening tool can aid clinicians in their diagnosis significantly. This study proposes an automated dry AMD detection system using various entropies (Shannon, Kapur, Renyi and Yager), Higher Order Spectra (HOS) bispectra features, Fractional Dimension (FD), and Gabor wavelet features extracted from greyscale fundus images. The features are ranked using t-test, Kullback–Lieber Divergence (KLD), Chernoff Bound and Bhattacharyya Distance (CBBD), Receiver Operating Characteristics (ROC) curve-based and Wilcoxon ranking methods in order to select optimum features and classified into normal and AMD classes using Naive Bayes (NB), k-Nearest Neighbour (k-NN), Probabilistic Neural Network (PNN), Decision Tree (DT) and Support Vector Machine (SVM) classifiers. The performance of the proposed system is evaluated using private (Kasturba Medical Hospital, Manipal, India), Automated Retinal Image Analysis (ARIA) and STructured Analysis of the Retina (STARE) datasets. The proposed system yielded the highest average classification accuracies of 90.19%, 95.07% and 95% with 42, 54 and 38 optimal ranked features using SVM classifier for private, ARIA and STARE datasets respectively. This automated AMD detection system can be used for mass fundus image screening and aid clinicians by making better use of their expertise on selected images that require further examination.

Fundus autofluorescence in the diagnosis of cystoid macular oedema

Aim: To determine the sensitivity and specificity of the non-invasive imaging technique, fundus autofluorescence (AF), in the diagnosis of cystoid macular oedema (CMO), using fluorescein angiography as the reference standard. Design: Retrospective, consecutive, observational case series. Methods: Ninety-six consecutive patients with CMO suspected clinically were selected from the AF database of the Retina Unit, Ophthalmology Department, Grampian University Hospitals-NHS Trust, between August 2004 and June 2006. Only patients in whom CMO was secondary to (1) cataract extraction, (2) inherited retinopathies, (3) inflammatory eye disease or (4) idiopathic cases were included in this study. Only patients in whom AF images had been performed within 2 weeks of FFA and, when obtained following FFA, there was a minimum gap of 4 days ("washing out" period), were considered eligible for this study. A total of 34 eyes from 34 patients were eligible and were included in this study. FFA was used as the reference test to confirm the presence of CMO, and, based on fluorescein angiography (FFA), CMO was graded as either mild or florid. AF images were examined in a masked fashion for the presence or absence of CMO. The sensitivity and specificity of AF in detecting CMO were then calculated. Results: CMO was seen on AF imaging as round or oval areas at the fovea with an AF signal similar to that of background levels. At this site (fovea), the AF signal is usually reduced compared with background, due to the blockage caused by luteal pigment. The diagnosis of CMO based on AF imaging had 81% sensitivity and 69% specificity when compared with the reference standard FFA. Based on the FFA, there were 12 cases of florid CMO and eight of mild CMO. Of the former, CMO was detected with AF imaging in 100% (12/12 eyes), and of the latter, in 50% (4/8 eyes). Conclusions: AF imaging can be used as a rapid, non-invasive technique in the diagnosis of CMO.

Fundus autofluorescence in exudative age-related macular degeneration

Aim: To evaluate the distribution of fundus autofluorescence in patients with age-related macular degeneration and choroidal neovascularisation (CNV). Methods: Colour fundus photographs, fundus fluorescein angiograms (FFA) and fundus autofluorescence images were obtained from a group of 40 patients (43 eyes) with age-related macular degeneration and purely classic or occult CNV. Only patients with newly diagnosed CNV and in whom autofluorescence images were obtained within 2 weeks from FFA were included. The distribution of autofluorescence was qualitatively evaluated, and the findings compared with those from colour fundus photographs and FFA. Results: 29 (67%) eyes had classic CNV and 14 (33%) had occult CNV. In 26 (90%) eyes with classic CNV, a low autofluorescence signal was detected at the site of the CNV; in 7 (50%) eyes with occult CNV, multiple foci of low autofluorescence signal were detected. Outside the area affected by the lesion, homogeneous autofluorescence was observed in most of the cases (n = 33, 77%). Similarly, homogeneous autofluorescence was commonly observed in fellow eyes (62%). A pattern of focal increased autofluorescence was rarely seen in eyes with CNV (n = 4, 9%) or in fellow eyes (n = 4, 15%). In 11 of 43 (25%) eyes, areas of increased autofluorescence, other than a pattern of focal increased autofluorescence, were detected. In four patients, autofluorescence images had been obtained before the development of CNV; in none was any increased autofluorescence detected before the formation of CNV. Conclusions: Distinct patterns of autofluorescence were observed in eyes with pure classic and occult CNV. Increased autofluorescence was rarely seen in eyes with CNV and in fellow eyes, suggesting that increased autofluorescence, and thus, retinal pigment epithelium lipofuscin, may not play an essential part in the formation of CNV.

Fundus autofluorescence in stargardt macular dystrophy-fundus flavimaculatus

Purpose To quantify autofluorescence (AF) levels in patients with Stargardt macular dystrophy-fundus flavimaculatus (STGD-FFM), and to identify patterns of AF. Design Observational, comparative study. Methods Prospective study. Settings Patients were recruited at Moorfields Eye Hospital. Study population Forty-three STGD-FFM patients aged 20 to 40 years and 35 age-matched normal volunteers. The right eye was chosen arbitrarily for measures of AF. Intervention The AF images were obtained using a confocal scanning laser ophthalmoscope. Levels of AF across the macula were measured. The distribution of AF was also evaluated. In 36 patients (84%) pattern electroretinogram (PERG) and full-field ERG were obtained and results were evaluated with respect to levels of AF. Main outcome measures Values of AF, AF distribution, PERG, and ERG. Results Normal or high AF at the center of the macula with high AF temporally or nasally or both was detected in 17 patients (39%). In nine (21%), low AF at the center of the macula with normal or low AF temporally or nasally or both was found. Levels of AF were normal throughout the macula in six patients (14%). In 11 (26%), high, normal, and low levels of AF were found. All patients tested with low AF at the center of the macula and normal or low AF temporally or nasally or both had peripheral cone/rod dysfunction. None of the patients tested that had normal or high AF at the fovea and high AF temporally or nasally, or normal AF throughout the macula, had peripheral cone/rod dysfunction. Conclusion AF is not universally high in STGD-FFM. Some patients have normal or low AF. Autofluorescence patterns appear to relate to functional abnormalities. © 2004 by Elsevier Inc. All rights reserved.

Classification of fundus autofluorescence patterns in early age-related macular disease

PURPOSE. To describe and classify patterns of abnormal fundus autofluorescence (FAF) in eyes with early nonexudative age-related macular disease (AMD). METHODS. FAF images were recorded in eyes with early AMD by confocal scanning laser ophthalmoscopy (cSLO) with excitation at 488 nm (argon or OPSL laser) and emission above 500 or 521 nm (barrier filter). A standardized protocol for image acquisition and generation of mean images after automated alignment was applied, and routine fundus photographs were obtained. FAF images were classified by two independent observers. The ? statistic was applied to assess intra- and interobserver variability. RESULTS. Alterations in FAF were classified into eight phenotypic patterns including normal, minimal change, focal increased, patchy, linear, lacelike, reticular, and speckled. Areas with abnormal increased or decreased FAF signals may or may not have corresponded to funduscopically visible alterations. For intraobserver variability, ? of observer I was 0.80 (95% confidence interval [CI]0.71-0.89) and of observer II, 0.74. (95% CI, 0.64-0.84). For interobserver variability, ? was 0.77 (95% CI, 0.67-0.87). CONCLUSIONS. Various phenotypic patterns of abnormal FAF can be identified with cSLO imaging. Distinct patterns may reflect heterogeneity at a cellular and molecular level in contrast to a nonspecific aging process. The results indicate that the classification system yields a relatively high degree of intra- and interobserver agreement. It may be applicable for determination of novel prognostic determinants in longitudinal natural history studies, for identification of genetic risk factors, and for monitoring of future therapeutic interventions to slow the progression of early AMD. Copyright © Association for Research in Vision and Ophthalmology.

Fundus autofluorescence in patients with age-related macular degeneration and high risk of visual loss

PURPOSE: To describe fundus autofluorescence (AF) patterns and their change over time in patients with age-related macular degeneration (AMD) and high risk of visual loss participating in the drusen laser study (DLS). DESIGN: Randomized clinical trial. METHODS: The study population consisted of 29 patients (35 eyes) participating in the DLS, which is a prospective, randomized, controlled clinical trial of prophylactic laser therapy in patients with AMD and high risk of neovascular complications. The intervention consisted of 16 eyes having prophylactic laser and 19 receiving no treatment. The main outcome measures were changes in the distribution of drusen and AF. Patients were reviewed for a median follow-up or 24 months (range 12-36 months). RESULTS: At baseline, four patterns of fundus AF were recognized: focal increased AF (n = 18), reticular AF (n = 3), combined focal and reticular AF (n = 2), and homogeneous AF (n = 12). At last follow-up, fundus AF remained unchanged in 15 untreated (78%) and in seven treated (43%) eyes. In only one untreated eye, focal areas of increased AF returned to background levels and were no longer detectable at last follow-up, compared with six treated eyes. This difference was statistically significant (P = .03). Only large foveal soft drusen (drusenoid pigment epithelium detachments) consistently corresponded with focal changes in AF, whereas no obvious correspondence was found between small soft drusen located elsewhere and changes in AF. CONCLUSION: The lack of obvious correspondence between the distribution of drusen and of AF found in this study appears to indicate that drusen and AF represent independent measures of aging in the posterior pole. © 2002 Elsevier Science Inc. All rights reserved.

Phenotypic subtypes of Stargardt macular:Dystrophy-fundus flavimaculatus

Objective: To determine if phenotypic subtypes exist in Stargardt macular dystrophy-fundus flavimaculatus (SMD-FFM). Methods: A cross-sectional study of 63 patients with autosomal recessive SMD-FFM was undertaken. The age of onset, duration of symptoms, visual acuity, and clinical features on fundus examination, color fundus photographs, and fundus autofluorescence images were recorded. Electrophysiological tests, including pattern, focal, and full-field electroretinogram (ERG), electro-oculogram, and color-contrast sensitivity measurement, were also performed. Results: Based on electrophysiological attributes (ERG), patients with SMD-FFM could be classified into 3 groups. In group 1, there was severe pattern ERG abnormality with normal scotopic and full-field ERGs. In group 2, there was additional loss of photopic function, and in group 3, there was loss of both photopic and scotopic function. Differences in scotopic or photopic function among groups were not explained on the basis of differences in age of onset or duration of disease. Conclusions: Patients with SMD-FFM can be classified into 3 groups based on the absence or presence of generalized loss of either photopic or photopic and scotopic function. It appears that these 3 groups may represent distinct phenotypic subtypes in SMD-FFM.