Login / Signup

Comparison of meibomian gland loss area measurements between two computer programs and intra-inter-observer agreement.

Manuel Garza-LeónAlejandra Gonzalez-DibildoxNallely Ramos-BetancourtEverardo Hernandez-Quintela
Published in: International ophthalmology (2020)
Fifty-four images from x patients (n, 67.3% female) were analyzed. The limits of concordance analysis between the two programs showed a range between - 18.55 and 9.14%. The mean MG loss area through ImageJ by observer 1 was 27.91 ± 14.82% (IC 95% 23.87 to 31.96), and that by observer 2 was 29.05 ± 15.17% (95% CI 24.91 to 33.19). The mean MG loss area through Phoenix by observer 1 was 24.48 ± 13.97% (IC 95% 20.67 to 28.29), and that by observer 2 was 24.93 ± 12.70% (95% CI 21.46, 28.40) CONCLUSIONS: The comparison of the measurement of meibomian gland loss with both programs showed a statistically significant difference. Intra-observer repeatability and inter-observer repeatability were good, with no clinical or statistical difference.
Keyphrases
  • public health
  • end stage renal disease
  • deep learning
  • newly diagnosed
  • chronic kidney disease
  • convolutional neural network
  • patient reported outcomes