Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning.

Journal: Photodiagnosis and photodynamic therapy
PMID: 36070850

Abstract

PURPOSE: To assess the prediction of the response to photodynamic therapy (PDT) in chronic central serous chorioretinopathy (CSCR) based on spectral-domain optical coherence tomography (SD-OCT) images using deep learning (DL).

Authors

  • José Ignacio Fernández-Vigo
    Retina Unit, Ophthalmology Department, Hospital Clínico San Carlos, Madrid, Spain. Electronic address: jfvigo@hotmail.com.
  • Verónica Gómez Calleja
    Retina Unit, Ophthalmology Department, Hospital Clínico San Carlos, Madrid, Spain.
  • José Joaquim de Moura Ramos
    VARPA Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), CITIC, Universidad da Coruña, A Coruña, Spain.
  • Jorge Novo-Bujan
    VARPA Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), CITIC, Universidad da Coruña, A Coruña, Spain.
  • Bárbara Burgos-Blasco
    Retina Unit, Ophthalmology Department, Hospital Clínico San Carlos, Madrid, Spain.
  • Lorenzo López-Guajardo
    Retina Unit, Ophthalmology Department, Hospital Clínico San Carlos, Madrid, Spain.
  • Juan Donate-Lopez
    Fundación VerSalud, Madrid, Spain.
  • Marcos Ortega-Hortas
    VARPA Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), CITIC, Universidad da Coruña, A Coruña, Spain.

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