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Towards standardising retinal OCT angiography image analysis with open-source toolbox OCTAVA.
Untracht, Gavrielle R; Durkee, Madeleine S; Zhao, Mei; Kwok-Cheung Lam, Andrew; Sikorski, Bartosz L; Sarunic, Marinko V; Andersen, Peter E; Sampson, David D; Chen, Fred K; Sampson, Danuta M.
Afiliação
  • Untracht GR; Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
  • Durkee MS; School of Biosciences, The University of Surrey, Guildford, GU27XH, UK.
  • Zhao M; Department of Radiology, University of Chicago, Chicago, IL, 60637, USA.
  • Kwok-Cheung Lam A; Centre for Myopia Research, School of Optometry, Faculty of Health and Social Science, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
  • Sikorski BL; Centre for Myopia Research, School of Optometry, Faculty of Health and Social Science, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
  • Sarunic MV; Department of Ophthalmology, Nicolaus Copernicus University, 85-090, Bydgoszcz, Poland.
  • Andersen PE; International Center for Translational Eye Research (ICTER), Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.
  • Sampson DD; Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E6BT, UK.
  • Chen FK; Institute of Ophthalmology, University College London, London, EC1V2PD, UK.
  • Sampson DM; Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
Sci Rep ; 14(1): 5979, 2024 03 12.
Article em En | MEDLINE | ID: mdl-38472220
ABSTRACT
Quantitative assessment of retinal microvasculature in optical coherence tomography angiography (OCTA) images is important for studying, diagnosing, monitoring, and guiding the treatment of ocular and systemic diseases. However, the OCTA user community lacks universal and transparent image analysis tools that can be applied to images from a range of OCTA instruments and provide reliable and consistent microvascular metrics from diverse datasets. We present a retinal extension to the OCTA Vascular Analyser (OCTAVA) that addresses the challenges of providing robust, easy-to-use, and transparent analysis of retinal OCTA images. OCTAVA is a user-friendly, open-source toolbox that can analyse retinal OCTA images from various instruments. The toolbox delivers seven microvascular metrics for the whole image or subregions and six metrics characterising the foveal avascular zone. We validate OCTAVA using images collected by four commercial OCTA instruments demonstrating robust performance across datasets from different instruments acquired at different sites from different study cohorts. We show that OCTAVA delivers values for retinal microvascular metrics comparable to the literature and reduces their variation between studies compared to their commercial equivalents. By making OCTAVA publicly available, we aim to expand standardised research and thereby improve the reproducibility of quantitative analysis of retinal microvascular imaging. Such improvements will help to better identify more reliable and sensitive biomarkers of ocular and systemic diseases.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vasos Retinianos / Macula Lutea Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vasos Retinianos / Macula Lutea Idioma: En Ano de publicação: 2024 Tipo de documento: Article