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

Fukutsu, Kanae; Saito, Michiyuki; Noda, Kousuke; Murata, Miyuki; Kase, Satoru; Shiba, Ryosuke; Isogai, Naoki; Asano, Yoshikazu; Hanawa, Nagisa; Dohke, Mitsuru; Kase, Manabu; Ishida, Susumu

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

Fukutsu, Kanae; Saito, Michiyuki; Noda, Kousuke et al.

Current eye research, 2022, 47(11), 1534-1537

Permalink : https://hdl.handle.net/2115/90687

このアイテムのアクセス数:1,111件（2026-03-16 04:10 集計）

閲覧可能ファイル

ファイル	フォーマット	サイズ	閲覧回数	説明
CER 47(11) 1534-1537	pdf	354 KB	280

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

アクセス権	open access
URI	https://hdl.handle.net/2115/90687
タイトル	Relationship between Brachial-Ankle Pulse Wave Velocity and Fundus Arteriolar Area Calculated Using a Deep-Learning Algorithm
著者	Fukutsu, Kanae ; Saito, Michiyuki ; Noda, Kousuke ; Murata, Miyuki ; Kase, Satoru ; Shiba, Ryosuke ; Isogai, Naoki ; Asano, Yoshikazu ; Hanawa, Nagisa ; Dohke, Mitsuru ; Kase, Manabu ; Ishida, Susumu
著者名 Fukutsu, Kanae
e-Rad_Researcher 90443944 著者名 Saito, Michiyuki
e-Rad_Researcher 90296666 著者名 Noda, Kousuke
著者名 Murata, Miyuki
著者名 Kase, Satoru
著者名 Shiba, Ryosuke
著者名 Isogai, Naoki
著者名 Asano, Yoshikazu
著者名 Hanawa, Nagisa
著者名 Dohke, Mitsuru
著者名 Kase, Manabu
e-Rad_Researcher 10245558 著者名 Ishida, Susumu
言語	英語
キーワード	Arteriosclerosis
	imaging
	retinal arteriolar narrowing
	deep learning system
	pulse wave velocity
発行日	2022-11-02
出版者	Taylor & Francis
収録物名	Current eye research
巻(号)	47(11)
ページ	1534-1537
抄録	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.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This is an Accepted Manuscript of an article published by Taylor & Francis in Current Eye Research on Nov.2022, available online: http://www.tandfonline.com/10.1080/02713683.2022.2117384
PISSN	0271-3683
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1080/02713683.2022.2117384