A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre

被引:179
作者
Cheung, Carol Y. [1 ,2 ]
Xu, Dejiang [3 ]
Cheng, Ching-Yu [1 ,4 ]
Sabanayagam, Charumathi [1 ,4 ]
Tham, Yih-Chung [1 ,4 ]
Yu, Marco [1 ]
Rim, Tyler Hyungtaek [1 ,4 ]
Chai, Chew Yian [5 ,6 ]
Gopinath, Bamini [7 ]
Mitchell, Paul [7 ]
Poulton, Richie [8 ]
Moffitt, Terrie E. [9 ]
Caspi, Avshalom [9 ]
Yam, Jason C. [2 ]
Tham, Clement C. [2 ]
Jonas, Jost B. [10 ]
Wang, Ya Xing [11 ]
Song, Su Jeong [12 ]
Burrell, Louise M. [13 ,14 ]
Farouque, Omar [13 ,14 ]
Li, Ling Jun [15 ]
Tan, Gavin [1 ,4 ]
Ting, Daniel S. W. [1 ,4 ]
Hsu, Wynne [3 ]
Lee, Mong Li [3 ]
Wong, Tien Y. [1 ,4 ]
机构
[1] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore
[2] Chinese Univ Hong Kong, Dept Ophthalmol & Visual Sci, Hong Kong, Peoples R China
[3] Natl Univ Singapore, Sch Comp, Singapore, Singapore
[4] Duke NUS Med Sch, Ophthalmol & Visual Sci Acad Clin Programme, Singapore, Singapore
[5] Natl Univ Singapore Hosp, Emergency Med Dept, Singapore, Singapore
[6] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Surg, Singapore, Singapore
[7] Westmead Inst Med Res, Ctr Vis Res, Westmead, NSW, Australia
[8] Univ Otago, Dept Psychol, Dunedin Multidisciplinary Hlth & Dev Res Unit, Dunedin, New Zealand
[9] Duke Univ, Dept Psychol & Neurosci, Durham, NC USA
[10] Ruprecht Karls Univ Heidelberg, Med Fac Mannheim, Dept Ophthalmol, Heidelberg, Germany
[11] Capital Med Univ, Beijing Tongren Hosp, Beijing Tongren Eye Ctr, Beijing Ophthalmol & Visual Sci Key Lab,Beijing I, Beijing, Peoples R China
[12] Sungkyunkwan Univ, Sch Med, Kangbuk Samsung Hosp, Dept Ophthalmol, Seoul, South Korea
[13] Univ Melbourne, Austin Hosp, Austin Hlth, Dept Cardiol, Heidelberg, Vic, Australia
[14] Univ Melbourne, Dept Med, Heidelberg, Vic, Australia
[15] KK Womens & Childrens Hosp, Div Obstet & Gynaecol, Singapore, Singapore
基金
英国医学研究理事会; 新加坡国家研究基金会;
关键词
CORONARY-HEART-DISEASE; C-REACTIVE PROTEIN; VASCULAR CALIBER; ATHEROSCLEROSIS RISK; MICROVASCULAR ABNORMALITIES; BLOOD-PRESSURE; DIABETIC-RETINOPATHY; EYE DISEASES; ANTIHYPERTENSIVE TREATMENT; VENULAR CALIBER;
D O I
10.1038/s41551-020-00626-4
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs perform comparably to or better than expert graders in associations of measurements of retinal-vessel calibre with cardiovascular risk factors. Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using diverse multiethnic multicountry datasets that comprise more than 70,000 images. Retinal-vessel calibre measured by the models and by expert human graders showed high agreement, with overall intraclass correlation coefficients of between 0.82 and 0.95. The models performed comparably to or better than expert graders in associations between measurements of retinal-vessel calibre and CVD risk factors, including blood pressure, body-mass index, total cholesterol and glycated-haemoglobin levels. In retrospectively measured prospective datasets from a population-based study, baseline measurements performed by the deep-learning system were associated with incident CVD. Our findings motivate the development of clinically applicable explainable end-to-end deep-learning systems for the prediction of CVD on the basis of the features of retinal vessels in retinal photographs.
引用
收藏
页码:498 / +
页数:14
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