July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Gender judgment using color fundus parameters in young healthy eyes
Author Affiliations & Notes
  • Takehiro Yamashita
    Ophthalmology, Kagoshima University, Kagoshima, KAGOSHIMA, Japan
  • Yuya Kii
    Ophthalmology, Kagoshima University, Kagoshima, KAGOSHIMA, Japan
  • Minoru Tanaka
    Ophthalmology, Kagoshima University, Kagoshima, KAGOSHIMA, Japan
  • Kumiko Nakao
    Ophthalmology, Kagoshima University, Kagoshima, KAGOSHIMA, Japan
  • Taiji Sakamoto
    Ophthalmology, Kagoshima University, Kagoshima, KAGOSHIMA, Japan
  • Footnotes
    Commercial Relationships   Takehiro Yamashita, None; Yuya Kii, None; Minoru Tanaka, None; Kumiko Nakao, None; Taiji Sakamoto, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1596. doi:
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    • Get Citation

      Takehiro Yamashita, Yuya Kii, Minoru Tanaka, Kumiko Nakao, Taiji Sakamoto; Gender judgment using color fundus parameters in young healthy eyes. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1596.

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

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Abstract

Purpose : Recently, the brand new scientific theme was found by artificial intelligence. One of them was gender determination by ocular fundus photography. To our knowledge, there has been few manuscript to predict gender by fundus photography alone. However, it’s not clear which parameter of the fundus photographs affect the gender judgment. Therefore, the purpose of this study was to investigate gender determination by fundus photograph parameters using binominal logistic regression in young healthy eyes.

Methods : A prospective observational cross-sectional study was performed in 112 right eyes of young healthy volunteers. Using the color fundus photograph, Tessellation fundus index (TFI, Yoshihara N, et al. Plos ONE, 2015) was calculated by TFI=R/(R+G+B) using the mean value of red-green-blue intensity in the eight locations around the optic disc. Optic disc ovality ratio, papillo-macular angle, retinal artery trajectory, retinal vessel angles were quantified by our previous reports (Yamashita T, et al. Invest Ophthalmol Vis Sci. 2013 and 2014). The binomial logistic regression was used to predict the gender by these fundus parameters.

Results : Mean age was 25.8 years, 76 males and 36 females. In the forward selection method, five parameters were selected, and the predicted correct answer rate was 85.7%. In the backward selection method, 22 parameters were selected, and the predicted correct answer rate was 95.5%.

Conclusions : it was possible to estimate men and women by color fundus parameters, such as TFI, the shape and position of the optic disc, and retinal vessel trajectory.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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