视网膜血管特征与冠心病相关性研究现状及展望
PDF下载 (52)计礼丽,陆浩轩,谢燕青,何文明*.视网膜血管特征与冠心病相关性研究现状及展望[J].宁波大学学报(理工版),2024,37(5):102-108.DOI:10.20098/j.cnki.1001-5132.2024.0201
JI Lili,LU Haoxuan,XIE Yanqing,HE Wenming.Current status and prospect of the correlation between retinal vascular characteristics and coronary heart disease[J].Journal of Ningbo University(Natural Science & Engineering Edition),2024,37(5):102-108.DOI:10.20098/j.cnki.1001-5132.2024.0201
| Title: | Current status and prospect of the correlation between retinal vascular characteristics and coronary heart disease |
| 作者: | 计礼丽, 陆浩轩, 谢燕青, 何文明* |
| Author(s): | JI Lili, LU Haoxuan, XIE Yanqing, HE Wenming |
| 关键词: | 冠状动脉粥样硬化性心脏病; 视网膜血管特征; 智能预测 |
| Keywords: | coronary atherosclerotic heart disease; retinal vascular features; intelligent prediction |
| 分类号: | R541.4 |
| DOI: | 10.20098/j.cnki.1001-5132.2024.0201 |
| 文献标识码: | A |
| 摘要: | 冠状动脉粥样硬化性心脏病是一种高发病率、高死亡率的心血管疾病, 早期准确预测对延缓疾病进展、降低病死率具有重要的临床意义. 视网膜血管作为人体唯一可直接、无创观察的微小血管, 与冠状动脉具有相似的解剖结构和生理特点, 在共同基因表型和环境影响下均会发生动脉粥样硬化, 为视网膜血管和冠状动脉疾病的共病研究提供了潜在可能. 眼底视网膜血管作为良好的观测窗口, 借助眼底血管特征预测冠心病一直是研究的焦点. 眼底影像和人工智能的深度融合可为冠心病评估提供客观的视网膜血管量化特征, 具有重要的临床价值. 本文全面回顾了视网膜血管特征与冠心病的相关性研究现状, 并分析了该研究领域的最新挑战和前景. |
| Abstract: | Coronary atherosclerotic heart disease (CAD) is a cardiovascular disease with high morbidity and mortality. Early and accurate prediction is clinically important to prevent the disease progression and reduce the mortality rate. As the only microvessel that can be directly and non-invasively observed in the human body, the retinal vasculature has similar anatomical structure and physiological characteristics with coronary artery. Atherosclerosis occurs under the influence of common genetic phenotypes and environmental influences, which provides a potential co-morbidity study between the retinal vasculature and the coronary artery diseases. As a good window to observe the retinal vasculature, predicting CAD by using fundus vascular features has been the focus of research. The in-depth integration of fundus imaging and artificial intelligence can provide objective quantitative retinal vascular characteristics for the assessment of CAD, which is of great clinical value. We comprehensively reviewed the current status of research on the correlation between retinal vascular characteristics and CAD, and analyze the latest challenges and prospects in this research area. |
| 参考文献 /References: | [1].MENSAH G A, FUSTER V, MURRAY C J L, et al. Global burden of cardiovascular diseases and risks, 1990—2022[J]. Journal of the American College of Cardiology, 2023, 82(25):2350-2473. [2].胡盛寿, 王增武. 《中国心血管健康与疾病报告2022》概述[J]. 中国心血管病研究, 2023, 21(7):577-600. [3].WAGNER S K, FU D J, FAES L, et al. Insights into systemic disease through retinal imaging-based oculomics [J]. Translational Vision Science & Technology, 2020, 9(2):6. [4].CHEUNG C Y, XU D J, CHENG C Y, et al. A deep- learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre [J]. Nature Biomedical Engineering, 2021, 5(6):498-508. [5].WONG T Y, KLEIN R, KLEIN B E, et al. Retinal microvascular abnormalities and their relationship with hypertension, cardiovascular disease, and mortality[J]. Survey of Ophthalmology, 2001, 46(1):59-80. [6].TEDESCHI-REINER E, STROZZI M, SKORIC B, et al. Relation of atherosclerotic changes in retinal arteries to the extent of coronary artery disease[J]. The American Journal of Cardiology, 2005, 96(8):1107-1109. [7].RIM T H, LEE C J, THAM Y C, et al. Deep-learning- based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs [J]. The Lancet Digital Health, 2021, 3(5):e306-e316. [8].RAFTREY B, WILLIAMS I, CORONADO P E R , et al. Dach1 extends artery networks and protects against cardiac injury[J]. Circulation Research, 2021, 129(7):702- 716. [9].MODJTAHEDI B S, WU J, LUONG T Q, et al. Severity of diabetic retinopathy and the risk of future cerebro- vascular disease, cardiovascular disease, and all-cause mortality[J]. Ophthalmology, 2021, 128(8):1169-1179. [10].HANSSEN H, STREESE L, VILSER W. Retinal vessel diameters and function in cardiovascular risk and disease[J]. Progress in Retinal and Eye Research, 2022, 91:101095. [11].ALLON R, ARONOV M, BELKIN M, et al. Retinal microvascular signs as screening and prognostic factors for cardiac disease: a systematic review of current evidence[J]. The American Journal of Medicine, 2021, 134(1):33-36. [12].GOPINATH B, CHIHA J, PLANT A J H, et al. Associations between retinal microvascular structure and the severity and extent of coronary artery disease[J]. Atherosclerosis, 2014, 236(1):25-30. [13].ZHONG P T, QIN J, LI Z X, et al. Development and validation of retinal vasculature nomogram in suspected angina due to coronary artery disease[J]. Journal of Atherosclerosis and Thrombosis, 2022, 29(5):579-596. [14].LANZER P, TOPOL E J. Pan vascular medicine: integrated vlinical management[M]. Berlin: Springer- Verlag, 2002. [15].葛均波. 深化系统生物学理念 推进泛血管医学学科发展[J]. 中华心血管病杂志, 2016, 44(5):373-374. [16].AGRAWAL H, CHOY H H K, LIU J, et al. Coronary artery disease[J]. Arteriosclerosis, Thrombosis, and Vascular Biology, 2020, 40(7):185-192. [17].VELUCHAMY A, BALLERINI L, VITART V, et al. Novel genetic locus influencing retinal venular tortuosity is also associated with risk of coronary artery disease[J]. Arteriosclerosis, Thrombosis, and Vascular Biology, 2019, 39(12):2542-2552. [18].IKRAM M K, SIM X, JENSEN R A, et al. Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo[J]. PLoS Genetics, 2010, 6(10): e1001184. [19].FAHY S J, SUN C, ZHU G, et al. The relationship between retinal arteriolar and venular calibers is genetically mediated, and each is associated with risk of cardiovascular disease[J]. Investigative Ophthalmology & Visual Science, 2011, 52(2):975-981. [20].TOMASONI M, BEYELER M J, VELA S O, et al. Genome-wide association studies of retinal vessel tortuosity identify numerous novel loci revealing genes and pathways associated with ocular and cardiometabolic diseases[J]. Ophthalmology Science, 2023, 3(3):100288. [21].MIMOUN L, MASSIN P, STEG G. Retinal microvas- cularisation abnormalities and cardiovascular risk[J]. Archives of Cardiovascular Diseases, 2009, 102(5):449- 456. [22].SUN C, LIEW G, WANG J J, et al. Retinal vascular caliber, blood pressure, and cardiovascular risk factors in an asian population: the Singapore malay eye study[J]. Investigative Ophthalmology & Visual Science, 2008, 49(5):1784-1790. [23].WANG J J, LIEW G, KLEIN R, et al. Retinal vessel diameter and cardiovascular mortality: pooled data analysis from two older populations[J]. European Heart Journal, 2007, 28(16):1984-1992. [24].WONG T Y, KLEIN R, SHARRETT A R, et al. Retinal arteriolar narrowing and risk of coronary heart disease in men and women: the atherosclerosis risk in communities study[J]. Journal of American Medical Association, 2002, 287(9):1153-1159. [25].WANG S B, MITCHELL P, LIEW G, et al. A spectrum of retinal vasculature measures and coronary artery disease [J]. Atherosclerosis, 2018, 268:215-224. [26].WANG J, JIANG J, ZHANG Y, et al. Retinal and choroidal vascular changes in coronary heart disease: an optical coherence tomography angiography study[J]. Biomedical Optics Express, 2019, 10(4):1532-1544. [27].MCGEECHAN K, LIEW G, MACASKILL P, et al. Meta-analysis: retinal vessel caliber and risk for coronary heart disease[J]. Annals of Internal Medicine, 2009, 151 (6):404-413. [28].WONG T Y, KLEIN R, NIETO F J, et al. Retinal microvascular abnormalities and 10-year cardiovascular mortality: a population-based case-control study[J]. Ophthalmology, 2003, 110(5):933-940. [29].REN Y, HU Y J, LI C, et al. Impaired retinal micro- circulation in patients with non-obstructive coronary artery disease[J]. Microvascular Research, 2023, 148: 104533. [30].MA Y H, HAO H Y, XIE J Y, et al. ROSE: a retinal OCT-angiography vessel segmentation dataset and new model[J]. IEEE Transactions on Medical Imaging, 2021, 40(3):928-939. [31].KANN B H, HOSNY A, AERTS H J W L. Artificial intelligence for clinical oncology[J]. Cancer Cell, 2021, 39(7):916-927. [32].HE J X, BAXTER S L, XU J, et al. The practical implementation of artificial intelligence technologies in medicine[J]. Nature Medicine, 2019, 25(1):30-36. [33].TOPOL E J. High-performance medicine: the conver- gence of human and artificial intelligence[J]. Nature Medicine, 2019, 25(1):44-56. [34].SERMESANT M, DELINGETTE H, COCHET H, et al. Applications of artificial intelligence in cardiovascular imaging[J]. Nature Reviews Cardiology, 2021, 18(8):600- 609. [35].HAO J K, SHEN T, ZHU X L, et al. Retinal structure detection in OCTA image via voting-based multitask learning[J]. IEEE Transactions on Medical Imaging, 2022, 41(12):3969-3980. [36].JOHNSON K W, TORRES S J, GLICKSBERG B S, et al. Artificial intelligence in cardiology[J]. Journal of the American College of Cardiology, 2018, 71(23):2668- 2679. [37].ZHANG L, YUAN M Y, AN Z, et al. Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: a cross-sectional study of chronic diseases in central China[J]. PLoS One, 2020, 15(5):e0233166. [38].POPLIN R, VARADARAJAN A V, BLUMER K, et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning[J]. Nature Biomedical Engineering, 2018, 2(3):158-164. [39].RIM T H, LEE G, KIM Y, et al. Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms[J]. The Lancet Digital Health, 2020, 2(10):526-536. [40].HUANG F, LIAN J, NG K S, et al. Predicting CT-based coronary artery disease using vascular biomarkers derived from fundus photographs with a graph convolutional neural network[J]. Diagnostics, 2022, 12(6):1390. [41].丁耀东, 张阳, 何兰青, 等. 通过眼底影像评估冠心病及相关危险因素的深度学习模型研究[J]. 中华心血管病杂志, 2022, 50(12):1201-1206. [42].DIAZ-PINTO A, RAVIKUMAR N, ATTAR R, et al. Predicting myocardial infarction through retinal scans and minimal personal information[J]. Nature Machine Intelligence, 2022, 4(1):55-61. [43].ZHOU Y, CHIA M A, WAGNER S K, et al. A foundation model for generalizable disease detection from retinal images[J]. Nature, 2023, 622:156-163. |
| 备注/Memo: | 收稿日期: 2024−02−02. 宁波大学学报(理工版)网址: http://journallg.nbu.edu.cn/ 基金项目: 浙江省“尖兵”“领雁”研发攻关计划科技合作领域项目(2023C04017). 第一作者: 计礼丽, 硕士研究生, 主要研究方向: 心血管病学. E-mail: 15058478517@163.com *通信作者: 何文明, 博士/主任医师, 主要研究方向: 心血管病学. E-mail: fyhewenming@nbu.edu.cn 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |