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

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 Metho...

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Detalles Bibliográficos
Publicado en:Eye (0950-222X) Vol. 27; no. 4; pp. 554 - 561
Autores principales: Ong, B B, Lee, N, Lee, W P, Pearce, E, Sivaprasad, S, Klaver, C C, Smith, R T, Chong, N V
Formato: research Journal Article
Publicado: Springer Nature Apr2013
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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.