Relationship between Brachial-Ankle Pulse Wave Velocity and Fundus Arteriolar Area Calculated Using a Deep-Learning Algorithm.

Journal: Current eye research
PMID: 36000916

Abstract

PURPOSE: Retinal vessels reflect alterations related to hypertension and arteriosclerosis in the physical status. Previously, we had reported a deep-learning algorithm for automatically detecting retinal vessels and measuring the total retinal vascular area in fundus photographs (VAFP). Herein, we investigated the relationship between VAFP and brachial-ankle pulse wave velocity (baPWV), which is the gold standard for arterial stiffness assessment in clinical practice.

Authors

  • Kanae Fukutsu
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Michiyuki Saito
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Kousuke Noda
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Miyuki Murata
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Satoru Kase
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
  • Ryosuke Shiba
    NIDEK Co., Ltd, Gamagori, Japan.
  • Naoki Isogai
    NIDEK Co., Ltd, Gamagori, Japan.
  • Yoshikazu Asano
    Keijinkai Maruyama Clinic, Sapporo, Japan.
  • Nagisa Hanawa
    Keijinkai Maruyama Clinic, Sapporo, Japan.
  • Mitsuru Dohke
    Keijinkai Maruyama Clinic, Sapporo, Japan.
  • Manabu Kase
    Teine Keijinkai Hospital, Sapporo, Japan.
  • Susumu Ishida
    Department of Ophthalmology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

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