Optimisation of an automated drusen-quantifying software for the analysis of drusen distribution in patients with age-related macular degeneration

Eye (Lond). 2013 Apr;27(4):554-60. doi: 10.1038/eye.2012.292. Epub 2013 Jan 11.

Abstract

Purpose: The purpose of this study is to optimise the settings of the Retinal Image Analysis Laboratory (RIALAB), a semi-automatic drusen quantification software, in planning for high-throughput quantification of drusen in clinical studies of age-related macular degeneration (AMD).

Patients and methods: A comparison of five different settings in RIALAB was made on 67 images from the Rotterdam eye study (population-based study) and 56 images from the fellow eye of patients with active neovascular AMD in King's College Hospital, London (hospital-based study).

Results: The 'Few Outer' setting was the best setting, with it being most appropriate for 52 (77.6%) of the Rotterdam cohort and 47 (83.9%) for the London cohort. Pearson's χ(2)-test revealed both results to be statistically significant (P<0.0001).

Conclusions: RIALAB is a viable algorithm and software package that can detect, quantify, and analyse drusen efficiently in both population-based and hospital-based studies. We have shown that the 'Few Outer' drusen setting can be employed as the default setting, with fine-tuning only needed in a minority of cases, thus helping to speed up workflow.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Algorithms
  • Cohort Studies
  • Female
  • Humans
  • Macular Degeneration / diagnosis
  • Male
  • Middle Aged
  • Retinal Drusen / diagnosis*
  • Risk Factors
  • Software*