Age-related changes of the retinal microvasculature

被引:23
作者
Orlov, Nikita V. [1 ]
Coletta, Cristopher [1 ]
van Asten, Freekje [2 ,3 ,7 ]
Qian, Yong [1 ]
Ding, Jun [1 ]
AlGhatrif, Majd [4 ]
Lakatta, Edward [4 ]
Chew, Emily [2 ]
Wong, Wai [2 ]
Swaroop, Anand [3 ]
Fiorillo, Edoardo [5 ]
Delitala, Alessandro [6 ]
Marongiu, Michele [5 ]
Goldberg, Ilya G. [1 ,8 ]
Schlessinger, David [1 ]
机构
[1] NIA, Lab Genet & Genom, NIH, Baltimore, MD 21224 USA
[2] NEI, Div Epidemiol & Clin Applicat, NIH, Baltimore, MD USA
[3] NEI, Neurobiol Neurodegenerat & Repair Lab, NIH, Baltimore, MD USA
[4] NIA, Lab Cardiovasc Sci, NIH, Baltimore, MD 21224 USA
[5] CNR, Ist Ric Genet & Biomed, Cagliari, Italy
[6] Azienda Osped Univ Sassari, Dept Clin & Expt Med, Sassari, Italy
[7] Radboud Univ Nijmegen, Med Ctr, Donders Inst Brain Cognit & Behav, Dept Ophthalmol, Nijmegen, Netherlands
[8] Mindshare Med Inc, Seattle, WA USA
来源
PLOS ONE | 2019年 / 14卷 / 05期
关键词
COLOR FUNDUS PHOTOGRAPHS; ARTERIOLAR TORTUOSITY; DIABETIC-RETINOPATHY; AUTOMATED DETECTION; FEATURE-SELECTION; IMAGE-ANALYSIS; DISEASE; INFORMATION; HEART; RISK;
D O I
10.1371/journal.pone.0215916
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose Blood vessels of the retina provide an easily-accessible, representative window into the condition of microvasculature. We investigated how retinal vessel structure captured in fundus photographs changes with age, and how this may reflect features related to patient health, including blood pressure. Results We used two approaches. In the first approach, we segmented the retinal vasculature from fundus photographs and then we correlated 25 parameterized aspects ("traits")-comprising 15 measures of tortuosity, 7 fractal ranges of self-similarity, and 3 measures of junction numbers-with participant age and blood pressure. In the second approach, we examined entire fundus photographs with a set of algorithmic CHARM features. We studied 2,280 Sardinians, ages 20-28, and an U.S. based population from the AREDS study in 1,178 participants, ages 59-84. Three traits (relating to tortuosity, vessel bifurcation number, and vessel endpoint number) showed significant changes with age in both cohorts, and one additional trait (relating to fractal number) showed a correlation in the Sardinian cohort only. When using second approach, we found significant correlations of particular CHARM features with age and blood pressure, which were stronger than those detected when using parameterized traits, reflecting a greater signal from the entire photographs than was captured in the segmented microvasculature. Conclusions These findings demonstrate that automated quantitative image analysis of fundus images can reveal general measures of patient health status.
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页数:17
相关论文
共 36 条
[1]  
Abramoff Michael D, 2010, IEEE Rev Biomed Eng, V3, P169, DOI 10.1109/RBME.2010.2084567
[2]   Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning [J].
Abramoff, Michael David ;
Lou, Yiyue ;
Erginay, Ali ;
Clarida, Warren ;
Amelon, Ryan ;
Folk, James C. ;
Niemeijer, Meindert .
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2016, 57 (13) :5200-5206
[3]   Association between the retinal vascular network with Singapore "I" Vessel Assessment (SIVA) software, cardiovascular history and risk factors in the elderly: The Montrachet study, population-based study [J].
Arnould, Louis ;
Binquet, Christine ;
Guenancia, Charles ;
Alassane, Seydou ;
Kawasaki, Ryo ;
Daien, Vincent ;
Tzourie, Christophe ;
Kawasaki, Yumiko ;
Bourredjem, Abderrahmane ;
Bron, Alain ;
Creuzot-Garcher, Catherine .
PLOS ONE, 2018, 13 (04)
[4]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[5]   LIBSVM: A Library for Support Vector Machines [J].
Chang, Chih-Chung ;
Lin, Chih-Jen .
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (03)
[6]   Retinal Vascular Fractal Dimension Is Associated with Cognitive Dysfunction [J].
Cheung, Carol Yim-lui ;
Ong, ShinYeu ;
Ikram, M. Kamran ;
Ong, Yi Ting ;
Chen, Christopher P. ;
Venketasubramanian, N. ;
Wong, Tien Yin .
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2014, 23 (01) :43-50
[7]  
Costa A, 2013, HAUSDORFF BOX COUNTI
[8]   Methods and Reproducibility of Grading Optimized Digital Color Fundus Photographs in the Age-Related Eye Disease Study 2 (AREDS2 Report Number 2) [J].
Danis, Ronald P. ;
Domalpally, Amitha ;
Chew, Emily Y. ;
Clemons, Traci E. ;
Armstrong, Jane ;
SanGiovanni, John Paul ;
Ferris, Frederick L., III .
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (07) :4548-4554
[9]   Fingerprint minutiae extraction from skeletonized binary images [J].
Farina, A ;
Kovács-Vajna, ZM ;
Leone, A .
PATTERN RECOGNITION, 1999, 32 (05) :877-889
[10]  
Ferris FL, 2005, ARCH OPHTHALMOL-CHIC, V123, P1570