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

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Title: Relationship between Brachial-Ankle Pulse Wave Velocity and Fundus Arteriolar Area Calculated Using a Deep-Learning Algorithm
Authors: Fukutsu, Kanae Browse this author
Saito, Michiyuki Browse this author →KAKEN DB
Noda, Kousuke Browse this author →KAKEN DB
Murata, Miyuki Browse this author
Kase, Satoru Browse this author
Shiba, Ryosuke Browse this author
Isogai, Naoki Browse this author
Asano, Yoshikazu Browse this author
Hanawa, Nagisa Browse this author
Dohke, Mitsuru Browse this author
Kase, Manabu Browse this author
Ishida, Susumu Browse this author →KAKEN DB
Keywords: Arteriosclerosis
retinal arteriolar narrowing
deep learning system
pulse wave velocity
Issue Date: 2-Nov-2022
Publisher: Taylor & Francis
Journal Title: Current eye research
Volume: 47
Issue: 11
Start Page: 1534
End Page: 1537
Publisher DOI: 10.1080/02713683.2022.2117384
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. Methods Retinal photographs (n = 696) obtained from 372 individuals who visited the Keijinkai Maruyama Clinic for regular health checkups were used to analyze VAFP. Additionally, the baPWV was measured for each patient. Automatic retinal-vessel segmentation was performed using our deep-learning algorithm, and the total arteriolar area (AA) and total venular area (VA) were measured. Correlations between baPWV and several parameters, including AA and VA, were assessed. Results The baPWV was negatively correlated with AA (R = -0.40, n = 696, P < 2.2e-16) and VA (R = -0.36, n = 696, P < 2.2e-16). Independent variables (AA, sex, age, and systolic blood pressure) selected using the stepwise method showed a significant correlation with baPWV. The estimated baPWV, calculated using a regression equation with variables including AA, showed a better correlation with the measured baPWV (R = 0.70, n = 696, P < 2.2e-16) than the estimated value without AA (R = 0.68, n = 696, P < 2.2e-16). Conclusions AA and VA were significantly correlated with baPWV. Moreover, baPWV estimated using AA correlated well with the actual baPWV. VAFP may serve as an alternative biomarker for evaluating systemic arterial stiffness.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Current Eye Research on Nov.2022, available online:
Type: article (author version)
Appears in Collections:医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 野田 航介

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