June 2015
Volume 56, Issue 7
ARVO Annual Meeting Abstract  |   June 2015
Central choroidal thickness prediction with color tone and phase analysis on fundus photographs
Author Affiliations & Notes
  • Keiko Azuma
    ophthalmology, Tokyo university, Tokyo, Japan
  • Yasuo Yanagi
    ophthalmology, Tokyo university, Tokyo, Japan
  • Footnotes
    Commercial Relationships Keiko Azuma, None; Yasuo Yanagi, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 5893. doi:
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      Keiko Azuma, Yasuo Yanagi; Central choroidal thickness prediction with color tone and phase analysis on fundus photographs. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):5893.

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      © ARVO (1962-2015); The Authors (2016-present)

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The purpose of this study is to investigate the usefulness of color tone and phase analysis for predicting central choroidal thickness (CCT) and to evaluate the algorithm using normal fundus photographs.


One hundred fundus photographs of healthy eyes taken between January 2012 and April 2014 at Tokyo University Hospital were used. There were 60 males and 40 females and the average age was 63.7±14.6 (mean±SD). By using in-house built software, 6,000mm ETDRS charts were placed to define subfields in the macular area, and the color tone and phase of each foveal and parafoveal subfield was quantified. The CCT was measured by Spectral-Domain optical coherence tomography (Spectralis, Heidelberg, Germany) with enhanced depth imaging and categorized into thin (~100mm), moderate (101-250mm), and thick (250~ mm). The prediction algorithm was developed with the data of randomly selected 50 eyes and its predictability was confirmed by the data of the other 50 eyes.


The CCT was 227.8±97.7mm (mean±SD). The fundus photographic parameters related to CCT were analyzed with forward stepwise regression analysis, which showed that the CCT was correlated with the quantified red and green color tones of retina excluding the nasal side area. The prediction algorithm calculated with the data of these factors was evaluated in other 50 eyes, which showed that the CCT were precisely predicted in 42 (84%) of the eyes.


The color tone analysis based on our software was limited by its moderate ability to predict choroidal thickness, but is useful to predict central choroidal thickness when OCT data is not available.


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