Abstract
Purpose
To determine the objective and quantitative hyperspectral parameters for distinguishing between age-related macular degeneration (AMD) and a normal macula.
Methods
Near-infrared hyperspectral images were taken of 71 eyes of 62 AMD patients with exudative AMD and 21 eyes of 12 control subjects without AMD. The spatial information included a 480 × 321-pixel image in a 50° field located at the ocular fundus and a 720–950-nm-per-pixel reflectance spectrum. Macular vectors were determined as the average spectrum for each macula, and reference vectors were used as average macular vectors for healthy volunteers. Variations in vector length and angle were calculated based on comparison with the reference vector. The AMD differentiation index was a parameter that minimized the plot overlap between AMD patients and controls.
Results
Statistically significant differences between the AMD patients and controls were noted. Receiver-operating characteristic curve analysis revealed an area under the curve of 0.888. The appropriate threshold values were attained for the proposed discrimination index, including 68 % sensitivity, 95 % specificity and 74 % accuracy.
Conclusions
This study presents a simplified diagnostic index for the determination of age-related macular degeneration based on near-infrared spectra.
Similar content being viewed by others
References
Oshima Y, Ishibashi T, Murata T, Tahara Y, Kiyohara Y, Kubota T. Prevalence of age related maculopathy in a representative Japanese population: the Hisayama study. Br J Ophthalmol. 2001;85:1153–7.
Klein R, Klein BE, Tomany SC, Meuer SM, Huang GH. Ten-year incidence and progression of age-related maculopathy: the Beaver Dam eye study. Ophthalmology. 2002;109:1767–79.
Leske MC, Wu SY, Hennis A, Nemesure B, Yang L, Hyman L, et al. Nine-year incidence of age-related macular degeneration in the Barbados Eye Studies. Ophthalmology. 2006;113:29–35.
Wang JJ, Rochtchina E, Lee AJ, Chia EM, Smith W, Cumming RG, et al. Ten-year incidence and progression of age-related maculopathy: the blue Mountains Eye Study. Ophthalmology. 2007;114:92–8.
Suzuki M, Gomi F, Sawa M, Tsujikawa M, Sakaguchi H. Bevacizumab treatment for choroidal neovascularization due to age-related macular degeneration in Japanese patients. Jpn J Ophthalmol. 2010;54:124–8.
Photodynamic therapy of subfoveal choroidal neovascularization in age-related macular degeneration with verteporfin: one-year results of 2 randomized clinical trials—TAP report. Treatment of age-related macular degeneration with photodynamic therapy (TAP) Study Group. Arch Ophthalmol. 1999;117:1329–45.
Photodynamic therapy of subfoveal choroidal neovascularization in pathologic myopia with verteporfin. 1-year results of a randomized clinical trial—VIP report no. 1. Ophthalmology. 2001;108:841–52.
Japanese age-related macular degeneration trial. 1-year results of photodynamic therapy with verteporfin in Japanese patients with subfoveal choroidal neovascularization secondary to age-related macular degeneration. Am J Ophthalmol. 2003;136:1049–61.
Pieramici DJ, Bressler SB, Koester JM, Bressler NM. Occult with no classic subfoveal choroidal neovascular lesions in age-related macular degeneration: clinically relevant natural history information in larger lesions with good vision from the Verteporfin in Photodynamic Therapy (VIP) Trial: VIP report no. 4. Arch Ophthalmol. 2006;124:660–4.
Brown DM, Kaiser PK, Michels M, Soubrane G, Heier JS, Kim RY, et al. Ranibizumab versus verteporfin for neovascular age-related macular degeneration. N Engl J Med. 2006;355:1432–44.
Heier JS, Boyer DS, Ciulla TA, Ferrone PJ, Jumper JM, Gentile RC, et al. Ranibizumab combined with verteporfin photodynamic therapy in neovascular age-related macular degeneration: year 1 results of the FOCUS Study. Arch Ophthalmol. 2006;124:1532–42.
Rosenfeld PJ, Brown DM, Heier JS, Boyer DS, Kaiser PK, Chung CY, et al. Ranibizumab for neovascular age-related macular degeneration. N Engl J Med. 2006;355:1419–31.
Vo-Dinh T, Stokes DL, Wabuyele MB, Martin ME, Song JM, Jagannathan R, et al. A hyperspectral imaging system for in vivo optical diagnostics. Hyperspectral imaging basic principles, instrumental systems, and applications of biomedical interest. IEEE Eng Med Biol Mag. 2004;23:40–9.
Nagaoka T, Nakamura A, Okutani H, Kiyohara Y, Sota T. A possible melanoma discrimination index based on hyperspectral data: a pilot study. Skin Res Technol. 2012:301–10.
Khoobehi B, Beach JM, Kawano H. Hyperspectral imaging for measurement of oxygen saturation in the optic nerve head. Invest Ophthalmol Vis Sci. 2004;45:1464–72.
Bernert G, von Siebenthal K, Kohlhauser C, Casaer P. Near infrared spectroscopy: methodological principles and clinical application in preterm infants. Wien Klin Wochenschr. 1995;107:569–73.
Wyatt JS, Cope M, Delpy DT, Wray S, Reynolds EO. Quantification of cerebral oxygenation and haemodynamics in sick newborn infants by near infrared spectrophotometry. Lancet. 1986;2:1063–6.
Schweitzer D, Hammer M, Scibor M. Imaging spectrometry in ophthalmology–principle and applications in microcirculation and in investigation of pigments. Ophthal Res. 1996;28(Suppl 2):37–44.
Takahashi K, Ishibashi T, Ogur Y, Yuzawa M. Classification and diagnostic criteria of age-related macular degeneration. Nihon Ganka Gakkai Zasshi. 2008;112:1076–84. (in Japanese).
Simel DL, Samsa GP, Matchar DB. Likelihood ratios with confidence: sample size estimation for diagnostic test studies. J Clin Epidemiol. 1991;44:763–70.
Van Norren D, Tiemeijer LF. Spectral reflectance of the human eye. Vision Res. 1986;26:313–20.
Delori FC, Pflibsen KP. Spectral reflectance of the human ocular fundus. Appl Opt. 1989;28:1061–77.
Elsner AE, Burns SA, Weiter JJ, Delori FC. Infrared imaging of sub-retinal structures in the human ocular fundus. Vision Res. 1996;36:191–205.
Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36.
Sarna T, Burke JM, Korytowski W, Rozanowska M, Skumatz CM, Zareba A, et al. Loss of melanin from human RPE with aging: possible role of melanin photooxidation. Exp Eye Res. 2003;76:89–98.
Xu W, Grunwald JE, Metelitsina TI, DuPont JC, Ying GS, Martin ER, et al. Association of risk factors for choroidal neovascularization in age-related macular degeneration with decreased foveolar choroidal circulation. Am J Ophthalmol. 2010;150:40–7 e42.
Metelitsina TI, Grunwald JE, DuPont JC, Ying GS, Brucker AJ, Dunaief JL. Foveolar choroidal circulation and choroidal neovascularization in age-related macular degeneration. Invest Ophthalmol Vis Sci. 2008;49:358–63.
Grunwald JE, Hariprasad SM, DuPont J. Effect of aging on foveolar choroidal circulation. Arch Ophthalmol. 1998;116:150–4.
Acknowledgments
We wish to thank Shunsuke Tanaka, Yu Amano, Aiko Kuroda and Katsuhiro Nakano of department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan, and Tsuyoshi Agawa, Maki Mishima, Yoshihiko Usui, Daisuke Muramatsu, Tsuyoshi Mizusawa, Setsuko Kawakami and Yoshihiro Wakabayashi of the Department of Ophthalmology, Tokyo Medical University Hospital, Tokyo, Japan for their help in acquiring the clinical data and in the analysis of the data.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Yamauchi, Y., Kemma, H., Goto, H. et al. Novel automated screening of age-related macular degeneration. Jpn J Ophthalmol 56, 577–583 (2012). https://doi.org/10.1007/s10384-012-0184-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10384-012-0184-x