Your browser doesn't support javascript.
loading
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis.
El Habib Daho, Mostafa; Li, Yihao; Zeghlache, Rachid; Boité, Hugo Le; Deman, Pierre; Borderie, Laurent; Ren, Hugang; Mannivanan, Niranchana; Lepicard, Capucine; Cochener, Béatrice; Couturier, Aude; Tadayoni, Ramin; Conze, Pierre-Henri; Lamard, Mathieu; Quellec, Gwenolé.
Afiliação
  • El Habib Daho M; Univ Bretagne Occidentale, Brest, F-29200, France; Inserm, UMR 1101, Brest, F-29200, France.
  • Li Y; Univ Bretagne Occidentale, Brest, F-29200, France; Inserm, UMR 1101, Brest, F-29200, France.
  • Zeghlache R; Univ Bretagne Occidentale, Brest, F-29200, France; Inserm, UMR 1101, Brest, F-29200, France.
  • Boité HL; Sorbonne University, Paris, F-75006, France; Service d'Ophtalmologie, Hôpital Lariboisière, APHP, Paris, F-75475, France.
  • Deman P; ADCIS, Saint-Contest, F-14280, France; Evolucare Technologies, Le Pecq, F-78230, France.
  • Borderie L; Evolucare Technologies, Le Pecq, F-78230, France.
  • Ren H; Carl Zeiss Meditec, Dublin, CA 94568, USA.
  • Mannivanan N; Carl Zeiss Meditec, Dublin, CA 94568, USA.
  • Lepicard C; Service d'Ophtalmologie, Hôpital Lariboisière, APHP, Paris, F-75475, France.
  • Cochener B; Univ Bretagne Occidentale, Brest, F-29200, France; Inserm, UMR 1101, Brest, F-29200, France; Service d'Ophtalmologie, CHRU Brest, Brest, F-29200, France.
  • Couturier A; Service d'Ophtalmologie, Hôpital Lariboisière, APHP, Paris, F-75475, France.
  • Tadayoni R; Service d'Ophtalmologie, Hôpital Lariboisière, APHP, Paris, F-75475, France; Paris Cité University, Paris, F-75006, France.
  • Conze PH; Inserm, UMR 1101, Brest, F-29200, France; IMT Atlantique, Brest, F-29200, France.
  • Lamard M; Univ Bretagne Occidentale, Brest, F-29200, France; Inserm, UMR 1101, Brest, F-29200, France.
  • Quellec G; Inserm, UMR 1101, Brest, F-29200, France. Electronic address: gwenole.quellec@inserm.fr.
Artif Intell Med ; 149: 102803, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38462293
ABSTRACT
Diabetic Retinopathy (DR), an ocular complication of diabetes, is a leading cause of blindness worldwide. Traditionally, DR is monitored using Color Fundus Photography (CFP), a widespread 2-D imaging modality. However, DR classifications based on CFP have poor predictive power, resulting in suboptimal DR management. Optical Coherence Tomography Angiography (OCTA) is a recent 3-D imaging modality offering enhanced structural and functional information (blood flow) with a wider field of view. This paper investigates automatic DR severity assessment using 3-D OCTA. A straightforward solution to this task is a 3-D neural network classifier. However, 3-D architectures have numerous parameters and typically require many training samples. A lighter solution consists in using 2-D neural network classifiers processing 2-D en-face (or frontal) projections and/or 2-D cross-sectional slices. Such an approach mimics the way ophthalmologists analyze OCTA acquisitions (1) en-face flow maps are often used to detect avascular zones and neovascularization, and (2) cross-sectional slices are commonly analyzed to detect macular edemas, for instance. However, arbitrary data reduction or selection might result in information loss. Two complementary strategies are thus proposed to optimally summarize OCTA volumes with 2-D images (1) a parametric en-face projection optimized through deep learning and (2) a cross-sectional slice selection process controlled through gradient-based attribution. The full summarization and DR classification pipeline is trained from end to end. The automatic 2-D summary can be displayed in a viewer or printed in a report to support the decision. We show that the proposed 2-D summarization and classification pipeline outperforms direct 3-D classification with the advantage of improved interpretability.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Limite: Humans Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Limite: Humans Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: França