Clinical outcomes in Caucasian patients with polypoidal choroidal vasculopathy.

PURPOSE: To describe treatment outcomes in a cohort of Caucasian patients with polypoidal choroidal vasculopathy (PCV). METHODS: Clinical charts from 48 eyes of 45 Caucasian patients with PCV were retrospectively reviewed. All cases were diagnosed with indocyanine green angiography. Best corrected visual acuity (BCVA) and optical coherence tomography (OCT) imaging were analyzed at baseline and final follow-up. RESULTS: Eyes were treated with a combination of verteporfin photodynamic therapy (PDT) and anti-vascular endothelial growth factor (VEGF) (n = 24), or PDT monotherapy (n = 9), or anti-VEGF monotherapy (n = 8), or no treatment (n = 7). Aflibercept was the anti-VEGF agent in 30 out of 32 eyes. Sixteen out of 24 eyes in the combination treatment group received initial PDT at diagnosis. All treatments led to stabilization of BCVA at final visit with a trend for better visual acuity in the anti-VEGF monotherapy group. There was a substantial reduction in central retinal thickness associated with resolution of subfoveal fluid and improvement in retinal pigment epithelial detachment in all treatment groups. BCVA and OCT findings remained stable in eyes which received no treatment. The use of PDT was associated with 0.5 fewer intravitreal injections per annum, which was not statistically significant. CONCLUSIONS: In the largest series of Caucasian patients with PCV presented to date, anti-VEGF monotherapy, PDT, or their combination preserved visual acuity and improved subfoveal exudative changes. Combination treatment was not superior to anti-VEGF monotherapy.

Polypoidal choroidal vasculopathy: a common type of neovascular age-related macular degeneration in Caucasians.

AIMS: To describe the prevalence of polypoidal choroidal vasculopathy (PCV) in a Caucasian population with neovascular age-related macular degeneration (NAMD). METHODS: All patients referred to a city AMD service over a 2-year period underwent imaging including Indocyanine Green Angiography at baseline. A panel of experts confirmed the patients with NAMD and diagnosed the lesion type including PCV. The proportion of Caucasian patients with PCV was identified. Two authors independently reviewed clinical imaging and recorded data of patients with PCV on lesion characteristics. Further information including treatments received and visual acuity at different time points was analysed. RESULTS: A total of 492 patients were diagnosed with NAMD during the 2-year study period. Of these patients, 204 had occult lesions (41.5%). PCV was identified in 45 patients (22.1% of occult NAMD and 9.1% of all NAMD). 23 patients received anti-vascular endothelial growth factor (VEGF) monotherapy, 8 received verteporfin photodynamic therapy (PDT) monotherapy and the remaining 14 patients were managed with combined PDT and anti-VEGF treatment. CONCLUSIONS: The prevalence of PCV in Caucasians is higher than previously reported. Indocyanine Green Angiography should be a standard investigation for all new patients with NAMD, particularly those with occult NAMD, to avoid missing this important subset.

Automated detection of leakage in fluorescein angiography images with application to malarial retinopathy.

The detection and assessment of leakage in retinal fluorescein angiogram images is important for the management of a wide range of retinal diseases. We have developed a framework that can automatically detect three types of leakage (large focal, punctate focal, and vessel segment leakage) and validated it on images from patients with malarial retinopathy. This framework comprises three steps: vessel segmentation, saliency feature generation and leakage detection. We tested the effectiveness of this framework by applying it to images from 20 patients with large focal leak, 10 patients with punctate focal leak, and 5,846 vessel segments from 10 patients with vessel leakage. The sensitivity in detecting large focal, punctate focal and vessel segment leakage are 95%, 82% and 81%, respectively, when compared to manual annotation by expert human observers. Our framework has the potential to become a powerful new tool for studying malarial retinopathy, and other conditions involving retinal leakage.

Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy.

The detection and assessment of intravascular filling defects is important, because they may represent a process central to cerebral malaria pathogenesis: neurovascular sequestration. We have developed and validated a framework that can automatically detect intravascular filling defects in fluorescein angiogram images. It first employs a state-of-the-art segmentation approach to extract the vessels from images and then divide them into individual segments by geometrical analysis. A feature vector based on the intensity and shape of saliency maps is generated to represent the level of abnormality of each vessel segment. An AdaBoost classifier with weighted cost coefficient is trained to classify the vessel segments into normal and abnormal categories. To demonstrate its effectiveness, we apply this framework to 6,358 vessel segments in images from 10 patients with malarial retinopathy. The test sensitivity, specificity, accuracy, and area under curve (AUC) are 74.7%, 73.5%, 74.1% and 74.2% respectively when compared to the reference standard of human expert manual annotations. This performance is comparable to the agreement that we find between human observers of intravascular filling defects. Our method will be a powerful new tool for studying malarial retinopathy.