Detection of retinal lesions in diabetic retinopathy: comparative evaluation of 7-field digital color photography versus red-free photography

@article{Venkatesh2012DetectionOR,
  title={Detection of retinal lesions in diabetic retinopathy: comparative evaluation of 7-field digital color photography versus red-free photography},
  author={Pradeep Venkatesh and Reetika Sharma and Nagender Vashist and Rajpal Vohra and Satpal P Garg},
  journal={International Ophthalmology},
  year={2012},
  volume={35},
  pages={635-640}
}
Red-free light allows better detection of vascular lesions as this wavelength is absorbed by hemoglobin; however, the current gold standard for the detection and grading of diabetic retinopathy remains 7-field color fundus photography. The goal of this study was to compare the ability of 7-field fundus photography using red-free light to detect retinopathy lesions with corresponding images captured using standard 7-field color photography. Non-stereoscopic standard 7-field 30° digital color… 
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References

SHOWING 1-10 OF 14 REFERENCES
Non‐stereo fundus photography as a screening procedure for diabetic retinopathy among patients with type II diabetes
TLDR
The photographic method is recommended as an easy and reliable screening device for diabetic retinopathy among patients with type II diabetes.
Detection of diabetic retinopathy: a comparison between red-free digital images and colour transparencies
TLDR
Red-free digital images are comparable with two-field colour transparencies in the identification of mild to moderate nonproliferative diabetic retinopathy.
Sensitivity and specificity of photography and direct ophthalmoscopy in screening for sight threatening eye disease: the Liverpool diabetic eye study
TLDR
A photographic method should be considered as preferred option in national, community based screening programmes for sight threatening diabetic eye disease because direct ophthalmoscopy is limited by weaknesses inherent to the instrument.
A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy
Aims To compare the respective performances of digital retinal imaging, fundus photography and slit‐lamp biomicroscopy performed by trained optometrists, in screening for diabetic retinopathy. To
Identification of individual microaneurysms: A comparison between fluorescein angiograms and red-free and colour photographs
TLDR
Although MAs in FAG and red spots in colour or red-free photographs all reflect the degree of retinopathy, about half of the red dots in photographs do not represent open MAsin FAGs.
Monochromatic ophthalmoscopy and fundus photography. The normal fundus.
TLDR
The optimal spectral ranges for visualization of the different fundus structures are reported and the appearance of individual structures and areas of the fundus under different spectral illuminations are described and illustrated.
The Wisconsin Epidemiologic Study of Diabetic Retinopathy. IX. Four-year incidence and progression of diabetic retinopathy when age at diagnosis is less than 30 years.
TLDR
The incidence of proliferative retinopathy rose with increasing duration until 13 to 14 years of diabetes, thereafter remaining between 14% and 17%.
The Wisconsin Epidemiologic Study of Diabetic Retinopathy. X. Four-year incidence and progression of diabetic retinopathy when age at diagnosis is 30 years or more.
The four-year incidence and progression of retinopathy were investigated in a population-based sample of people with diabetes diagnosed at 30 years of age or older. For insulin users, 73 (47%) of the
The Wisconsin epidemiologic study of diabetic retinopathy. II. Prevalence and risk of diabetic retinopathy when age at diagnosis is less than 30 years.
In a population-based study in southern Wisconsin, 996 insulin-taking, younger-onset diabetic persons were examined using standard protocols to determine the prevalence and severity of diabetic
...
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