Quantitative Evaluation of Fluorescein Angiograms: Microaneurysm Counts

Baudoin, Claude; Maneschi, F.; Quentel, G; Soubrane, G.; Hayes, T M; Jones, Glyn; Coscas, G; Kohner, E M

doi:10.2337/diab.32.2.s8

Cited by 36 publications

(21 citation statements)

References 2 publications

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“…However, Palmberg et al [16] found no significant difference (41% v 42%). Baudoin et al [17] have described a method for quantifying microaneurysms from fluorescein angiograms. Fluorescein angiography has the advantage of allowing differentiation between microaneurysms and small microhaemorrhage and allowing identification of areas of peripheral ischaemia.…”

Section: Resultsmentioning

confidence: 99%

Quantifying early diabetic retinopathy

et al. 1986

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Summary. A precise and accurate method of numerically quantifying diabetic retinopathy, on standardised retinal colour photographs, has been developed which allows small changes and trends to be monitored. Colour slides are projected onto a screen and features noted on an acetate sheet which provides a permanent record. Sector analysis showed microaneurysms and haemorrhages to occur most often at the temporal-to-macula area, exudates at the macula and cotton wool spots on the nasal side of the retina. Seventy percent of microaneurysms appeared in the previous year, irrespective of the severity of the retinopathy. In proportion to their usual relative prevalences, after normalisation of distribution, the various features can be combined to provide a single value, the Retinopathy Index. This provides an overall assessment of retinopathy which is suitable for comparing the progress of mild retinopathy in prospective studies.

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Section: Resultsmentioning

confidence: 99%

Quantifying early diabetic retinopathy

et al. 1986

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“…Other authors [4,29] use solely an analysis based on microaneurysm counts in the mac ular field for minimal or mild DR. Beintena [6] preproliferative retinopathy (with areas of nonperfusion extending one disc diameter or more. IRMA, and any signs of the first stage); proliferative retinopathy (with neovasculari zation on the optic disc or elsewhere in the retina).…”

Section: Consideration O F Fluorescein Angiographymentioning

confidence: 99%

Classification of Diabetic Retinopathy

Haut¹,

Redor²,

Abboud³

et al. 1987

Ophthalmologica

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A review of the literature on the classification of diabetic retinopathy shows that a consensus of opinions is not attained. Therefore it is impossible to compare the results of different works. Most of the classifications are based on purely anatomical criteria (ophthalmoscopic or photographic). The authors propose to base the classification of diabetic retinopathy on angiographic criteria. They consider that only fluorescein angiography can take into consideration the functional evaluation of the retinal circulation with unquestionable pathogenic correlation and adapted treatment: edematous diabetic retinopathy corresponds to capillary dilatation and ischemic diabetic retinopathy corresponds to capillary occlusion. Macular diseases are classified according to these same criteria.

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“…[18][19] Computer algorithms were used to detect and count microaneurysms present in the fluorescein images. 19 The accuracy, speed, and reproducibility of the computer techniques were assessed and compared with those of clinicians using both digitized and analog images. Manual counting procedures of microaneurysms used by the clinicians were laborious, timeconsuming, and subject to human error.…”

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confidence: 99%

“…[12][13][14][15][16][17] Recently there have been several articles published on automatic detection and quantification of diabetic retinopathy lesions from fluorescein angiograms. [18][19][20] Fluorescein angiograms from individuals with diabetes were digitized for analysis using digital image-processing techniques. [18][19] Computer algorithms were used to detect and count microaneurysms present in the fluorescein images.…”

mentioning

confidence: 99%

“…[18][19][20] Fluorescein angiograms from individuals with diabetes were digitized for analysis using digital image-processing techniques. [18][19] Computer algorithms were used to detect and count microaneurysms present in the fluorescein images. 19 The accuracy, speed, and reproducibility of the computer techniques were assessed and compared with those of clinicians using both digitized and analog images.…”

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confidence: 99%

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Comparison of Diagnosis of Early Retinal Lesions of Diabetic Retinopathy Between a Computer System and Human Experts

Lee

Kingsley

et al. 2001

Arch Ophthalmol

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Objective: To investigate whether a computer vision system is comparable with humans in detecting early retinal lesions of diabetic retinopathy using color fundus photographs.Methods: A computer system has been developed using image processing and pattern recognition techniques to detect early lesions of diabetic retinopathy (hemorrhages and microaneurysms, hard exudates, and cotton-wool spots). Color fundus photographs obtained from American Indians in Oklahoma were used in developing and testing the system. A set of 369 color fundus slides were used to train the computer system using 3 diagnostic categories: lesions present, questionable, or absent (Y/Q/N). A different set of 428 slides were used to test and evaluate the system, and its diagnostic results were compared with those of 2 human experts-the grader at the University of Wisconsin Fundus Photograph Reading Center (Madison) and a general ophthalmologist. The experiments included comparisons using 3 (Y/Q/N) and 2 diagnostic categories (Y/N) (questionable cases excluded in the latter).Results: In the training phase, the agreement rates, sensitivity, and specificity in detecting the 3 lesions between the retinal specialist and the computer system were all above 90%. The statistics were high (0.75-0.97), indicating excellent agreement between the specialist and the computer system. In the testing phase, the results obtained between the computer system and human experts were consistent with those of the training phase, and they were comparable with those between the human experts. Conclusions:The performance of the computer vision system in diagnosing early retinal lesions was comparable with that of human experts. Therefore, this mobile, electronically easily accessible, and noninvasive computer system, could become a mass screening tool and a clinical aid in diagnosing early lesions of diabetic retinopathy.

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Quantitative Evaluation of Fluorescein Angiograms: Microaneurysm Counts

Cited by 36 publications

References 2 publications

Quantifying early diabetic retinopathy

Quantifying early diabetic retinopathy

Classification of Diabetic Retinopathy

Comparison of Diagnosis of Early Retinal Lesions of Diabetic Retinopathy Between a Computer System and Human Experts

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