June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Author Affiliations & Notes
  • Marta Gonzalez-Hernandez
    Oftalmología, Hospital Universitario de Canarias, La Laguna, Canarias, Spain
  • Daniel Gonzalez-Hernandez
    Instrumentacion y Oftalmologia INSOFT SL, Spain
  • Rodriguez-Esteve Paloma
    Universidad de La Laguna Facultad de Ciencias de la Salud, San Cristobal de La Laguna, Canarias, Spain
  • Manuel Gonzalez-de-la-Rosa
    Research, Instrumentacion y Oftalmologia INSOFT S, Spain
  • Footnotes
    Commercial Relationships   Marta Gonzalez-Hernandez, INSOFT SL (I), INSOFT SL (E), INSOFT SL (P); Daniel Gonzalez-Hernandez, INSOFT SL (I), INSOFT SL (E), INSOFT SL (P); Rodriguez-Esteve Paloma, None; Manuel Gonzalez-de-la-Rosa, INSOFT SL (I), INSOFT SL (C), INSOFT SL (P)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1828. doi:
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      Marta Gonzalez-Hernandez, Daniel Gonzalez-Hernandez, Rodriguez-Esteve Paloma, Manuel Gonzalez-de-la-Rosa; NEW GIP INDEX FOR PROGRESSION ANALYSIS, USSING THE LAGUNA OHnE METHOD FOR THE OPTIC NERVE HEAD HEMOGLOBIN EVALUATION. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1828.

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

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Purpose : Laguna ONhE automatically analyzes hemoglobin distribution in optic disc retinographies (1-9). Its main index, called GDF (Globin Distribution Factor) involves a classifier based on Deep Learning that tends to produce extreme values: (1=normal, 0=glaucoma). The consequence is a good detection performance, outweighed by certain variability in the limit range between normality and glaucoma. Therefore, its influence has been reduced in a new index, called Globin Individual Pointer (GIP). It may be useful in the follow-up of cases.

Methods : Two retinographies of 78 normal eyes and 59 confirmed or suspected glaucomas were obtained using a simple manual fundus camera (DEC-200, MiiS, Taiwan). The reproducibility and diagnostic capability of both indices were compared.

Results : Analyzing the average of both GDF series, a ROC area of 0.937 (CI=0.882-0.971) and a sensitivity of 67.8%% for 99% specificity were obtained. Its intra-class correlation coefficient was 0.970 (CI 0.958-0.978). GIP achieved a smaller ROC area (0.902, CI=839-0.946, p<0.01), sensitivity of 50.85% for 99% specificity, and a higher intra-class correlation coefficient (0.990, CI=0.985-0.993, p<0.0001).

Conclusions : Both indices are complementary: GDF useful for diagnostic classification, especially considering that not all glaucomas were confirmed cases but only with signs of suspicion, and GIP for individual progression assessment.

Figures: Test-retest scatter plots of GDF (Fig1) and GIP (Fig2) indexes. The 0 and -15 value are at 5% and 1% percentile of the normal population.

1- Gonzalez de la Rosa M et al. IOVS 2013;54:482-489.
2- Pena-Betancor C et al. IOVS 2015;56:1562-1568.
3- Mendez-Hernandez C et al. Acta Ophthalmol 2016;94:697-704.
4- Mendez-Hernandez C et al. J Glaucoma 2016;25:348-354.
5- Medina-Mesa E et al. Current Eye Res 2016;41:798-805.
6- Perucho-Gonzalez L et al. J Pediatr Ophthalmol Strabismus 2017;54:387-394.
7- Gonzalez-Hernandez M et al. J Ophthalmol 2017;2340236.
8- Gonzalez-Hernandez D et al. J Clin Exp Opthamol 2018;9:5 doi:10.4172/2155-9570.1000760.
9- Mendez-Hernandez C et al. Br J Ophthalmol 2020;doi:10.1136/bjophthalmol-2020-316455.

This is a 2021 ARVO Annual Meeting abstract.


Test-retest scatter plots of GDF

Test-retest scatter plots of GDF


Test-retest scatter plots of GIP

Test-retest scatter plots of GIP


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