14-Year Incidence, Progression, and Visual Morbidity of Age-Related MaculopathyThe Copenhagen City Eye Study

Buch, Helena; Nielsen, Niels Vesti; Vinding, Troels; Jensen, Gorm; Prause, Jan Ulrik; Cour, Morten la

doi:10.1016/j.ophtha.2004.11.040

Cited by 122 publications

(109 citation statements)

References 45 publications

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“…AMD is a chronic, progressive disease with various phenotypic manifestations, different disease stages, and variable rates of progression [3]. Choroidal neovascularization (CNV) and Geographic atrophy (GA) characterize late stages of the disease [4][5][6]. The later occurs in 20% of patients with preexisting clinical hallmarks of this degenerative disease [2,5].…”

Section: Introductionmentioning

confidence: 99%

Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor

Niu¹,

Sisternes²,

Chen³

et al. 2016

Biomed. Opt. Express

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Age-related macular degeneration (AMD) is the leading cause of blindness among elderly individuals. Geographic atrophy (GA) is a phenotypic manifestation of the advanced stages of non-exudative AMD. Determination of GA extent in SD-OCT scans allows the quantification of GA-related features, such as radius or area, which could be of important value to monitor AMD progression and possibly identify regions of future GA involvement. The purpose of this work is to develop an automated algorithm to segment GA regions in SD-OCT images. An en face GA fundus image is generated by averaging the axial intensity within an automatically detected sub-volume of the three dimensional SD-OCT data, where an initial coarse GA region is estimated by an iterative threshold segmentation method and an intensity profile set, and subsequently refined by a region-based Chan-Vese model with a local similarity factor. Two image data sets, consisting on 55 SD-OCT scans from twelve eyes in eight patients with GA and 56 SD-OCT scans from 56 eyes in 56 patients with GA, respectively, were utilized to quantitatively evaluate the automated segmentation algorithm. We compared results obtained by the proposed algorithm, manual segmentation by graders, a previously proposed method, and experimental commercial software. When compared to a manually determined gold standard, our algorithm presented a mean overlap ratio (OR) of 81.86% and 70% for the first and second data sets, respectively, while the previously proposed method OR was 72.60% and 65.88% for the first and second data sets, respectively, and the experimental commercial software OR was 62.40% for the second data set.

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Section: Introductionmentioning

confidence: 99%

Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor

Niu¹,

Sisternes²,

Chen³

et al. 2016

Biomed. Opt. Express

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“…1,2 Central vision can be severely affected if age-related macular degeneration (AMD) develops, characterised in its advanced form by geographic atrophy or choroidal neovascularisation. Drusen are the hallmark feature of ARM, and many studies have reported their prevalence 1,[3][4][5][6][7][8][9][10][11][12][13][14] and/or their natural history in US, 15,16 European, [17][18][19]20 Australian, 11,21,22 and pooled cohorts. 8 Although there is abundant information on drusen prevalence in those aged 50 years and older, only a minority of studies include subjects aged 50 years or less, either as part of cohorts for cross-sectional studies or at baseline in longitudinal studies.…”

Section: Introductionmentioning

confidence: 99%

Drusen prevalence and pigmentary changes in Caucasians aged 18–54 years

Silvestri

Williams

McAuley

et al. 2012

Eye

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Aims and Purpose The aim of this study was to describe the prevalence and characteristics of drusen and pigmentary changes in a middle-aged population. Methods Retinal images from 500 individuals aged 18-54 years were included. The source of participants was two UK optometry practices. Retinal images were graded using the Wisconsin Age-Related Maculopathy Grading System. However, owing to the relatively young age of the population studied, a new category of drusen of smaller size (o31.5 mm) was introduced. Results Drusen were identified within the central macular grid in 91.48% of all gradable eyes and in 444 subjects. Drusen sized o31.5 mm were present in 89.7% of eyes, drusen sized 431.5 mm and o63 mm were present in 45.9% of all eyes and drusen 463 mm and o125 mm were present in only 1.7% of eyes. No eye had drusen larger or equal to 125 mm. Very few eyes (1.2%) showed pigmentary changes within the grid. Drusen load increased with increasing age, P o0.001. Conclusions The frequency of drusen in a younger Caucasian population aged 18-54 years is high, with 91.48% of all gradable eyes having drusen. The most frequent drusen subtype was hard distinct drusen o31.5 mm. No druse greater or equal in size to 125 mm was seen. Pigmentary changes are rare.

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“…It is well recognized that global population ageing is expected in the next decades, and therefore, the number of patients affected by AMD is expected to increase significantly not only in developed countries, but also in developing countries. Recent estimates point to a projected number of people with AMD in 2020 of 196 million, and of 288 million in 2040 [2, 3]. In this respect, and while prevalence measures the proportion with disease in the population, the incidence adds value because it allows to plan for demand in health care systems and for establishing preventive measures [4].…”

Section: Introductionmentioning

confidence: 99%

Incidence of Age-Related Macular Degeneration in the Central Region of Portugal: The Coimbra Eye Study – Report 5

et al. 2019

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Purpose: To describe the 6.5-year incidence and progression of age-related macular degeneration (AMD) in a coastal town of central Portugal. Methods: Population-based cohort study. Participants underwent standardized interviews and ophthalmological examination. Color fundus photographs were graded according to the International Classification and Grading System for AMD and ARM. The crude and age-standardized incidence of early and late AMD was calculated, and progression was analyzed. Results: The 6.5-year cumulative incidence of early AMD was 10.7%, and of late AMD it was 0.8%. The incidence of early AMD was 7.2, 13.1 and 17.7% for participants aged 55–64, 65–74 and 75–84 years (p < 0.001). The late AMD incidence was 0.3, 0.9 and 2.8% for the corresponding age groups (p = 0.003). The age-standardized incidence was 10.8% (95% CI, 10.74–10.80%) for early and 1.0% (95% CI, 1.00–1.02%) for late AMD. The incidence of both neovascular AMD and geographic atrophy was 0.4%. Progression occurred in 17.2% of patients. Conclusion: The early AMD incidence in a coastal town of central Portugal was found to be similar to that of major epidemiological studies of European-descent populations; however, the incidence of late AMD was lower, and further analysis on risk factors will be conducted.

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14-Year Incidence, Progression, and Visual Morbidity of Age-Related MaculopathyThe Copenhagen City Eye Study

Cited by 122 publications

References 45 publications

Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor

Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor

Drusen prevalence and pigmentary changes in Caucasians aged 18–54 years

Incidence of Age-Related Macular Degeneration in the Central Region of Portugal: The Coimbra Eye Study – Report 5

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