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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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
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      pub: Springer Nature
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        atl: Optimisation of an automated drusen-quantifying software for the analysis of drusen distribution in patients with age-related macular degeneration.
      aug:
        au:
          Ong, B B
          Lee, N
          Lee, W P
          Pearce, E
          Sivaprasad, S
          Klaver, C C
          Smith, R T
          Chong, N V
        affil: Oxford Eye Hospital and the University of Oxford, Oxford, UK.
      sug:
        subj:
          Retinal Diseases Diagnosis
          Software
          Aged
          Algorithms
          Prospective Studies
          Female
          Human
          Macular Degeneration Diagnosis
          Male
          Middle Age
          Risk Factors
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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.
      pubtype: Academic Journal
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        research
        Journal Article
      ougenre: Article
    language: English
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