Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber

被引:10
作者
Mautuit, Thibaud [1 ,2 ]
Cunnac, Pierre [1 ,2 ]
Cheung, Carol Y. [3 ]
Wong, Tien Y. [4 ]
Hogg, Stephen [5 ]
Trucco, Emanuele [5 ]
Daien, Vincent [6 ]
MacGillivray, Thomas J. [7 ]
Labarere, Jose [8 ,9 ]
Chiquet, Christophe [1 ,2 ]
机构
[1] Univ Grenoble Alpes, HP2 Lab, INSERM, U1300, F-38700 La Tronche, France
[2] Univ Hosp Grenoble Alps, Dept Ophthalmol, F-38043 Grenoble 09, France
[3] Chinese Univ Hong Kong, Dept Ophthalmol & Visual Sci, Hong Kong, Peoples R China
[4] Natl Univ Singapore, Yong Loo Ling Sch Med, Singapore Eye Res Inst, Singapore 119077, Singapore
[5] Univ Dundee, Sch Comp, VAMPIRE Project, Dundee DD1 4HN, Scotland
[6] Gui De Chauliac Hosp, Dept Ophthalmol, F-34295 Montpellier, France
[7] Univ Edinburgh, Clin Res Imaging Ctr, VAMPIRE Project, Edinburgh EH8 9YL, Midlothian, Scotland
[8] Grenoble Univ Hosp, Clin Epidemiol Unit, F-38043 Grenoble, France
[9] Univ Grenoble Alpes, CNRS, TIMC IMAG UMR 5525, F-38041 Grenoble, France
关键词
central retinal artery equivalent; central retinal vein equivalent; SIVA software; IVAN software; VAMPIRE software; conversion algorithm; retinal vessel measurements; ATHEROSCLEROSIS RISK; VASCULAR CALIBER; MICROVASCULAR ABNORMALITIES; IMAGE COMPRESSION; DIAMETER;
D O I
10.3390/diagnostics12061317
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
We aimed to compare measurements from three of the most widely used software packages in the literature and to generate conversion algorithms for measurement of the central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE) between SIVA and WAN and between SIVA and VAMPIRE. We analyzed 223 retinal photographs from 133 human participants using both SIVA, VAMPIRE and IVAN independently for computing CRAE and CRVE. Agreement between measurements was assessed using Bland-Altman plots and intra-class correlation coefficients. A conversion algorithm between measurements was carried out using linear regression, and validated using bootstrapping and root-mean-square error. The agreement between VAMPIRE and IVAN was poor to moderate: The mean difference was 20.2 mu m (95% limits of agreement, LOA, -12.2-52.6 mu m) for CRAE and 21.0 mu m (95% LOA, -17.5-59.5 mu m) for CRVE. The agreement between VAMPIRE and SIVA was also poor to moderate: the mean difference was 36.6 mu m (95% LOA, -12.8-60.4 mu m) for CRAE, and 40.3 mu m (95% LOA, 5.6-75.0 mu m) for CRVE. The agreement between IVAN and SIVA was good to excellent: the mean difference was 16.4 mu m (95% LOA, -4.25-37.0 mu m) for CRAE, and 19.3 mu m (95% LOA, 0.09-38.6 mu m) for CRVE. We propose an algorithm converting IVAN and VAMPIRE measurements into SIVA-estimated measurements, which could be used to homogenize sets of vessel measurements obtained with different software packages.
引用
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页数:12
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