Automated analysis of retinal images for detection of referable diabetic retinopathy

JAMA Ophthalmology

Volumn 131, Issue 3, 2013, Pages 351-357

  Abràmoff, Michael D ^a   Folk, James C ^b   Han, Dennis P ^b   Walker, Jonathan D ^b   Williams, David F ^b   Russell, Stephen R ^b   Massin, Pascale ^b   Cochener, Beatrice ^b   Gain, Philippe ^b   Tang, Li ^b   Lamard, Mathieu ^b   Moga, Daniela C ^b   Quellec, Gwénolé ^b   Niemeijer, Meindert ^b  

^a UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; AUTOMATION; DIABETIC RETINOPATHY; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; EYE EXAMINATION; FEMALE; FRANCE; HUMAN; IMAGE ANALYSIS; INTERNATIONAL CLINICAL DIABETIC RETINOPATHY SCALE; IOWA DETECTION PROGRAM; MAJOR CLINICAL STUDY; MALE; PHOTOGRAPHY; PRIORITY JOURNAL; RETINA EXAMINATION; RETINA MACULA EDEMA; SENSITIVITY AND SPECIFICITY;

AREA UNDER CURVE; DIABETIC RETINOPATHY; FALSE NEGATIVE REACTIONS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACULAR EDEMA; MALE; MIDDLE AGED; OBSERVER VARIATION; OPHTHALMOLOGY; PHOTOGRAPHY; PREDICTIVE VALUE OF TESTS; REFERRAL AND CONSULTATION; REPRODUCIBILITY OF RESULTS; RETINA; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84875180389     PISSN: 21686165     EISSN: None     Source Type: Journal    
DOI: 10.1001/jamaophthalmol.2013.1743     Document Type: Article

References (37)

1. Kocher R, Sahni NR. Rethinking health care labor. N Engl J Med. 2011;365(15): 1370-1372.
2. Bragge P, Gruen RL, Chau M, Forbes A, Taylor HR. Screening for presence or absence of diabetic retinopathy: a meta-analysis. Arch Ophthalmol. 2011;129 (4):435-444.
3. Hazin R, Colyer M, Lum F, Barazi MK. Revisiting Diabetes 2000: challenges in establishing nationwide diabetic retinopathy prevention programs. Am J Ophthalmol. 2011;152(5):723-729.
4. National Health Services Diabetic Eye Screening Programme of the United Kingdom. National Health Service Diabetic Retinopathy Programme Annual Report, April 2007-March 2008. Gloucester, England: National Health Services Diabetic Eye Screening Programme of the United Kingdom; 2008.
5. Centers for Disease Control and Prevention. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States. Atlanta, GA: US Dept of Health & Human Services, Centers for Disease Control and Prevention; June 24, 2008.
6. Abràmoff MD, Niemeijer M, Suttorp-Schulten MS, Viergever MA, Russell SR, van Ginneken B. Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes. Diabetes Care. 2008;31(2):193-198.
7. Abràmoff MD, Reinhardt JM, Russell SR, et al. Automated early detection of diabetic retinopathy. Ophthalmology. 2010;117(6):1147-1154.
8. Fleming AD, Goatman KA, Philip S, et al Scottish Diabetic Retinopathy Clinical Research Network. The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy. Br J Ophthalmol. 2010;94(6):706-711.
9. Philip S, Fleming AD, Goatman KA, et al. The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme. Br J Ophthalmol. 2007;91(11):1512-1517.
10. Scotland GS, McNamee P, Fleming AD, et al Scottish Diabetic Retinopathy Clinical Research Network. Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy. Br J Ophthalmol. 2010;94(6):712-719.
11. Scotland GS, McNamee P, Philip S, et al. Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland. Br J Ophthalmol. 2007;91(11):1518-1523.
12. Niemeijer M, van Ginneken B, Cree MJ, et al. Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs. IEEE Trans Med Imaging. 2010;29(1):185-195.
13. Wilkinson CP, Ferris FL III, Klein RE, et al Global Diabetic Retinopathy Project Group. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003;110(9):1677-1682.
14. Early Treatment Diabetic Retinopathy Study Research Group. Photocoagulation for diabetic macular edema: Early Treatment Diabetic Retinopathy Study report number 1. Arch Ophthalmol. 1985;103(12):1796-1806.
15. Nguyen QD, Brown DM, Marcus DM, et al RISE and RIDE Research Group. Ranibizumab for diabetic macular edema: results from 2 phase III randomized trials: RISE and RIDE. Ophthalmology. 2012;119(4):789-801.
16. Mitchell P, Bandello F, Schmidt-Erfurth U, et al; RESTORE study group. The RESTORE study: ranibizumab monotherapy or combined with laser versus laser monotherapy for diabetic macular edema. Ophthalmology. 2011;118(4):615-625.
17. Diabetic Retinopathy Clinical Research Network; Elman MJ, Aiello LP, Beck RW, et al. Randomized trial evaluating ranibizumab plus prompt or deferred laser or triamcinolone plus prompt laser for diabetic macular edema. Ophthalmology. 2010; 117(6):1064-1077.e1035.
18. Laboratoire de Traitement de l'Information Médicale L. (LaTIM-INSERM U650): Messidor-2 dataset (Méthodes d'Evaluation de Systèmes de Segmentation et d'Indexation Dédiées à l'Ophtalmologie Rétinienne). http://latim.univ-brest.fr/index.php?option= com-content&view=article&id=61&Itemid=100034&lang=en.2011.
19. Niemeijer M, Abràmoff MD, van Ginneken B. Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening. Med Image Anal. 2006;10(6):888-898.
20. Niemeijer M, van Ginneken B, Staal J, Suttorp-Schulten MS, Abràmoff MD. Automatic detection of red lesions in digital color fundus photographs. IEEE Trans Med Imaging. 2005;24(5):584-592.
21. Quellec G, Lamard M, Josselin PM, Cazuguel G, Cochener B, Roux C. Optimal wavelet transform for the detection of microaneurysms in retina photographs. IEEE Trans Med Imaging. 2008;27(9):1230-1241.
22. Niemeijer M, van Ginneken B, Russell SR, Suttorp-Schulten MS, Abràmoff MD. Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. Invest Ophthalmol Vis Sci. 2007;48(5):2260-2267.
23. Tang L, Niemeijer M, Reinhardt J, Garvin MK, Abràmoff MD. Splat feature classification with application of retinal hemorrhage detection in fundus images. IEEE Trans Med Imaging. 2013;32(2):364-375. Medline:23193310.
24. NiemeijerM, Abràmoff MD, van Ginneken B. Information fusion for diabetic retinopathy CAD in digital color fundus photographs. IEEE TransMed Imaging. 2009; 28(5):775-785.
25. Abramoff MD, Suttorp-Schulten MS.Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project. Telemed J E Health. 2005; 11(6):668-674.
26. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York, NY: Wiley; 2000:160-167.
27. Altman DG, Bland JM. Diagnostic tests 3: receiver operating characteristic plots. BMJ. 1994;309(6948):188.
28. Early Treatment Diabetic Retinopathy Study Research Group. Fundus photographic risk factors for progression of diabetic retinopathy. ETDRS report number 12. Ophthalmology. 1991;98(5)(suppl):823-833.
29. Javitt JC, Canner JK, Sommer A. Cost effectiveness of current approaches to the control of retinopathy in type I diabetics. Ophthalmology. 1989;96(2):255-264.
30. Davis MD, Fisher MR, Gangnon RE, et al. Risk factors for high-risk proliferative diabetic retinopathy and severe visual loss: Early Treatment Diabetic Retinopathy Study Report #18. Invest Ophthalmol Vis Sci. 1998;39(2):233-252.
31. Ahmed J,Ward TP, Bursell SE, Aiello LM, Cavallerano JD, Vigersky RA. The sensitivity and specificity of nonmydriatic digital stereoscopic retinal imaging in detecting diabetic retinopathy. Diabetes Care. 2006;29(10):2205-2209.
32. Cavallerano JD, Aiello LP, Cavallerano AA, et al Joslin Vision Network Clinical Team. Nonmydriatic digital imaging alternative for annual retinal examination in persons with previously documented no or mild diabetic retinopathy. Am J Ophthalmol. 2005;140(4):667-673.
33. Lin DY, Blumenkranz MS, Brothers RJ, Grosvenor DM. The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography.AmJ Ophthalmol. 2002;134(2):204-213.
34. Rudnisky CJ, Tennant MT, de Leon AR, Hinz BJ, Greve MD. Benefits of stereopsis when identifying clinically significant macular edema via teleophthalmology. Can J Ophthalmol. 2006;41(6):727-732.
35. American Academy of Ophthalmology Retina Panel PPPC. Diabetic Retinopathy. San Francisco, CA: American Academy of Ophthalmology; 2003.
36. Williams GA, Scott IU, Haller JA, Maguire AM, Marcus D, McDonald HR. Singlefield fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology. Ophthalmology. 2004;111(5):1055-1062.
37. Lawrence MG. The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards. Trans Am Ophthalmol Soc. 2004;102:321-340.