Fully Automated Prediction of Geographic Atrophy Growth Using Quantitative Spectral-Domain Optical Coherence Tomography Biomarkers

Ophthalmology

Volumn 123, Issue 8, 2016, Pages 1737-1750

  Niu, Sijie ^a,b   de Sisternes, Luis ^b,c   Chen, Qiang ^a   Rubin, Daniel L ^b   Leng, Theodore ^b  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c CARL ZEISS SMT AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

AGED; ARTICLE; AUTOMATED PREDICTION MODEL; AUTOMATION; CLINICAL ARTICLE; CLINICAL EVALUATION; CLINICAL FEATURE; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE COURSE; DRUSEN; FEMALE; FOLLOW UP; GEOGRAPHIC ATROPHY; HUMAN; IMAGE ANALYSIS; MACHINE LEARNING; MALE; OPTICAL COHERENCE TOMOGRAPHY DEVICE; OUTCOME ASSESSMENT; PHOTORECEPTOR; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETICULAR PSEUDODRUSEN; RETINA DISEASE; RETINA FOVEA; RETINAL NERVE FIBER LAYER THICKNESS; RISK FACTOR; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; BIOLOGICAL MODEL; DIAGNOSTIC IMAGING; FALSE POSITIVE RESULT; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; REPRODUCIBILITY; RETINAL PIGMENT EPITHELIUM; SENSITIVITY AND SPECIFICITY; VERTEBRATE PHOTORECEPTOR CELL;

AGED; DISEASE PROGRESSION; FALSE POSITIVE REACTIONS; FEMALE; FOLLOW-UP STUDIES; GEOGRAPHIC ATROPHY; HUMANS; MALE; MODELS, BIOLOGICAL; PHOTORECEPTOR CELLS, VERTEBRATE; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RETINAL DRUSEN; RETINAL PIGMENT EPITHELIUM; RISK FACTORS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84973880396     PISSN: 01616420     EISSN: 15494713     Source Type: Journal    
DOI: 10.1016/j.ophtha.2016.04.042     Document Type: Article

References (47)

1. 1 Schatz, H., McDonald, H.R., Atrophic macular degeneration: rate of spread of geographic atrophy and visual loss. Ophthalmology 96 (1989), 1541–1551.
2. 2 Potter, J.W., Thallemer, J.M., Geographic atrophy of the retinal pigment epithelium: diagnosis and vision rehabilitation. J Am Optom Assoc 52 (1981), 503–508.
3. 3 Sunness, J.S., Gonzalez-Baron, J., Applegate, C.A., et al. Enlargement of atrophy and visual acuity loss in the geographic atrophy form of age-related macular degeneration. Ophthalmology 106 (1999), 1768–1779.
4. 4 Maguire, P., Vine, A.K., Geographic atrophy of the retinal pigment epithelium. Am J Ophthalmol 102 (1986), 621–625.
5. 5 Klein, R., Klein, B.E., Franke, T., The relationship of cardiovascular disease and its risk factors to age-related maculopathy: the Beaver Dam eye study. Ophthalmology 100 (1993), 406–414.
6. 6 Vingerling, J.R., Dielemans, I., Hofman, A., et al. The prevalence of age-related maculopathy in the Rotterdam study. Ophthalmology 102 (1995), 205–210.
7. 7 Hirvela, H., Luukinen, H., Laara, E., Laatikainen, L., Risk factors of age-related maculopathy in a population 70 years of age or older. Ophthalmology 103 (1996), 871–877.
8. 8 Bhutto, I., Lutty, G., Understanding age-related macular degeneration (AMD): relationships between the photoreceptor/retinal pigment epithelium/Bruch's membrane/choriocapillaris complex. Mol Aspects Med 33 (2012), 295–317.
9. 9 Sunness, J.S., Bressler, N.M., Tian, Y., et al. Measuring geographic atrophy in advanced age-related macular degeneration. Invest Ophthalmol Vis Sci 40 (1999), 1761–1769.
10. 10 Holz, F.G., Bindewald-Wittich, A., Fleckenstein, M., et al. Progression of geographic atrophy and impact of fundus autofluorescence patterns in age-related macular degeneration. Am J Ophthalmol 143 (2007), 463–472.
11. 11 Sunness, J.S., Applegate, C.A., Bressler, N.M., Hawkins, B.S., Designing enrollment data from the geographic atrophy natural history study. Retina 27 (2007), 204–210.
12. 12 Sunness, J.S., Margalit, E., Srikumaran, D., et al. The long-term natural history of geographic atrophy from age-related macular degeneration: enlargement of atrophy and implications for interventional clinical trials. Ophthalmology 114 (2007), 271–277.
13. 13 Fleckenstein, M., Adrion, C., Schmitz-Valckenberg, S., et al. Concordance of disease progression in bilateral geographic atrophy due to AMD. Invest Ophthalmol Vis Sci 51 (2010), 637–642.
14. 14 Pumariega, N.M., Smith, R.T., Sohrab, M.A., et al. A prospective study of reticular macular disease. Ophthalmology 188 (2011), 1619–1625.
15. 15 Zweifel, S.A., Imamura, Y., Spaide, T.C., et al. Prevalence and significance of subretinal drusenoid deposits (reticular pseudodrusen) in age-related macular degeneration. Ophthalmology 117 (2010), 1775–1781.
16. 16 Fleckenstein, M., Schmitz-Valckenberg, S., Martens, C., et al. Fundus autofluorescence and spectral-domain optical coherence tomography characteristics in a rapidly progressing form of geographic atrophy. Invest Ophthalmol Vis Sci 52 (2011), 3761–3766.
17. 17 Schmitz-Valckenberg, S., Alten, F., Steinberg, J.S., et al. Reticular drusen associated with geographic atrophy in age-related macular degeneration. Invest Ophthalmol Vis Sci 51 (2011), 5009–5015.
18. 18 Schmitz-Valckenberg, S., Bindewald-Wittich, A., Dolar-Szczasny, J., et al. Correlation between the area of increased autofluorescence surrounding geographic atrophy and disease progression in patients with AMD. Invest Ophthalmol Vis Sci 47 (2006), 2648–2654.
19. 19 Schmitz-Valckenberg, S., Fleckenstein, M., Scholl, H.P., Holz, F.G., Fundus autofluorescence and progression of age-related macular degeneration. Surv Ophthalmol 54 (2009), 96–117.
20. 20 Bearelly, S., Chau, F.Y., Koreishi, A., et al. Spectral domain optical coherence tomography imaging of geographic atrophy margins. Ophthalmology 116 (2009), 1762–1769.
21. 21 Helb, H.M., Charbel Issa, P., Fleckenstein, M., et al. Clinical evaluation of simultaneous confocal scanning laser ophthalmoscopy imaging combined with high-resolution, spectral-domain optical coherence tomography. Acta Ophthalmology 88 (2010), 842–849.
22. 22 Fleckenstein, M., Charbel Issa, P., Helb, H.M., et al. High-resolution spectral domain-OCT imaging in geographic atrophy associated with age-related macular degeneration. Invest Ophthalmol Vis Sci 49 (2008), 4137–4144.
23. 23 Fleckenstein, M., Schmitz-Valckenberg, S., Adrion, C., et al. Tracking progression with spectral-domain optical coherence tomography in geographic atrophy caused by age-related macular degeneration. Invest Ophthalmol Vis Sci 51 (2010), 3846–3852.
24. 24 Brar, M., Kozak, I., Cheng, L., et al. Correlation between spectral-domain optical coherence tomography and fundus autofluorescence at the margins of geographic atrophy. Am J Ophthalmol 148 (2009), 439–444.
25. 25 Stetson, P.F., Yehoshua, Z., Garcia Filho, C.A., et al. OCT minimum intensity as a predictor of geographic atrophy enlargement. Invest Ophthalmol Vis Sci 55 (2014), 792–800.
26. 26 Zohar, Y., Rosenfeld, P.J., Gregori, G., Feuer, W.J., Progression of geographic atrophy in age-related macular degeneration imaged with spectral-domain optical coherence tomography. Ophthalmology 118 (2011), 679–686.
27. 27 Zysk, A.M., Nguyen, F.T., Oldenburg, A.L., Optical coherence tomography: a review of clinical development from bench to bedside. J Biomed Opt, 12, 2007 051403-1-051403-21.
28. 28 Alexander, L., Choate, W., Optical coherence tomography: rewriting the standard of care in diagnosis, management and interventional assessment. Rev Optometry 141 (2004), 1CE–8CE.
29. 29 De Niro, J.E., McDonald, H.R., Johnson, R.N., Sensitivity of fluid detection in patients with neovascular AMD using spectral domain optical coherence tomography high-definition line scans. Retina 34 (2014), 1163–1166.
30. 30 Shuang, L., Wang, B., Yin, B., Retinal nerve fiber layer reflectance for early glaucoma diagnosis. J Glaucoma 23 (2014), e45–e52.
31. 31 Akashi, A., Kanamori, A., Nakamura, M., The ability of macular parameters and circumpapillary retinal nerve fiber layer by three SD-OCT instruments to diagnose highly myopic glaucoma. Invest Ophthalmol Vis Sci 54 (2013), 6025–6032.
32. 32 Talu, S.D., Optical coherence tomography in the diagnosis and monitoring of retinal diseases. Int Sch Res Notices 2013 (2013), 1–13.
33. 33 de Sisternes, L., Simon, N., Tibshirani, R., et al. Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression. Invest Ophthalmol Vis Sci 55 (2014), 7093–7103.
34. 34 Niu, S., de Sisternes, L., Chen, Q., et al. Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor. Biomed Optics Exp 7 (2016), 581–600.
35. 35 Chen, Q., de Sisternes, L., Leng, T., et al. Semi-automatic geographic atrophy segmentation for SD-OCT images. Biomed Optic Express 4 (2013), 2729–2750.
36. 36 Hu, Z., Medioni, G.G., Hernandez, M., et al. Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images. Invest Ophthalmol Vis Sci 54 (2013), 8375–8383.
37. 37 Niu, S., de Sisternes, L., Chen, Q., et al. Automated segmentation and quantification in SD-OCT images to predict future geographic atrophy involvement. Invest Ophthalmol Vis Sci, 56, 2015, 2839.
38. 38 De Sisternes, L., Hu, J., Rubin, D.L., Marmor, M.F., Localization of damage in progressive hydroxychloroquine retinopathy on and off the drug: inner versus outer retina, parafovea versus peripheral fovea. Invest Ophthalmol Vis Sci 56 (2015), 3415–3426.
39. 39 Staurenghi, G., Sadda, S., Chakravarthy, U., Spaide, R.F., Proposed lexicon for anatomic landmarks in normal posterior segment spectral-domain optical coherence tomography: the IN•OCT Consensus. Ophthalmology 121 (2014), 1572–1578.
40. 40 Chen, Q., Leng, T., Zheng, L., et al. Automated drusen segmentation and quantification in SD-OCT images. Med Image Anal 17 (2013), 1058–1072.
41. 41 Liu, C., Yuen, J., Torralba, A., SIFT flow: dense correspondence across scenes and its applications. IEEE Trans Pattern Anal Mach Intell 33 (2011), 1–17.
42. 42 Chen, Q., Niu, S., Shen, H., et al. Restricted summed-area projection for geographic atrophy visualization in SD-OCT images. Transl Vis Sci Technol 4 (2015), 1–7.
43. 43 Chan, T.F., Vese, L.A., Active contours without edges. IEEE Trans Image Process 10 (2001), 266–277.
44. 44 de Sisternes, L., Hu, J., Rubin, D.L., Leng, T., Visual prognosis of eyes recovering from macular hole surgery through automated quantitative analysis of spectral-domain optical coherence tomography (SD-OCT) scans. Invest Ophthalmol Vis Sci 56 (2015), 4631–4643.
45. 45 Breiman, L., Random Forest. Machine Learning 451 (2001), 5–32.
46. 46 Nunes, R.P., Gregori, G., Yehoshua, Z., et al. Predicting the progression of geographic atrophy in age-related macular degeneration with SD-OCT en face imaging of the outer retina. Ophthal Surg Lasers Imaging Retina 44 (2013), 344–359.
47. 47 Ferris, F.L., Wilkinson, C.P., Bird, A., et al. Clinical classification of age-related macular degeneration. Ophthalmology 120 (2013), 844–851.