Edad retiniana como biomarcador predictivo del grado de retinopatía diabética

  1. Rodrigo Abreu-González 1
  2. J.N. Rodríguez-Martín 1
  3. G. Quezada-Peralta 1
  4. José Julio Rodrigo-Bello 2
  5. Maria A. Gil-Hernández 1
  6. C. Bermúdez-Pérez 1
  7. Juan Donate-López 3
  1. 1 Hospital Universitario Nuestra Señora de Candelaria
    info

    Hospital Universitario Nuestra Señora de Candelaria

    Santa Cruz de Tenerife, España

    ROR https://ror.org/005a3p084

  2. 2 Grafcan Cartográfica de Canarias, S. A., Santa Cruz de Tenerife, España
  3. 3 Hospital Clínico San Carlos de Madrid
    info

    Hospital Clínico San Carlos de Madrid

    Madrid, España

    ROR https://ror.org/04d0ybj29

Zeitschrift:
Archivos de la Sociedad Española de Oftalmologia

ISSN: 0365-6691

Datum der Publikation: 2023

Ausgabe: 98

Nummer: 5

Seiten: 265-269

Art: Artikel

DOI: 10.1016/J.OFTAL.2023.02.004 DIALNET GOOGLE SCHOLAR

Andere Publikationen in: Archivos de la Sociedad Española de Oftalmologia

Zusammenfassung

Objective To apply artificial intelligence techniques, through deep learning algorithms, for the development and optimization of a system for predicting the age of a person based on a color retinography, and to study a possible relationship between the evolution of retinopathy diabetes (RD) and premature aging of the retina. Methods A convolutional network was trained to calculate the age of a person based on a retinography. Said training was carried out on a set of retinographies of patients with diabetes previously divided into 3 subsets (training, validation and test). The difference between the chronological age of the patient and the biological age of the retina was defined as the retinal age gap. Results A set of 98,400 images was used for the training phase, 1000 images for the validation phase and 13,544 for the test phase. The retinal gap of the patients without RD was 0.609 years and that of the patients with RD was 1905 years (p < 0.001), with the distribution by degree of RD being: mild RD 1541 years; moderate RD 3017 years; RD severe 3117 years, and proliferative RD 8583 years. Conclusions The retinal age gap shows a positive mean difference between diabetics with RD versus those without RD, and it increases progressively, according to the degree of RD. These results could indicate the existence of a relationship between the evolution of the disease and premature aging of the retina.