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

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 IVAN and between SIVA and VAMPIRE....

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Bibliographic Details
Published in:Diagnostics (Basel) 2022-05, Vol.12 (6), p.1317
Main Authors: Mautuit, Thibaud, Cunnac, Pierre, Cheung, Carol Y, Wong, Tien Y, Hogg, Stephen, Trucco, Emanuele, Daien, Vincent, MacGillivray, Thomas J, Labarère, José, Chiquet, Christophe
Format: Article
Language:English
Subjects:
Agreements
Algorithms
Bias
Blood-vessels
Cardiology and cardiovascular system
central retinal artery equivalent
central retinal vein equivalent
Computer programs
conversion algorithm
Eye
Human health and pathology
Image processing
IVAN software
Life Sciences
Medical examination
Retina
SIVA software
Software packages
Software utilities
VAMPIRE software
Veins & arteries
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Summary: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 IVAN 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 µm (95% limits of agreement, LOA, −12.2–52.6 µm) for CRAE and 21.0 µm (95% LOA, −17.5–59.5 µm) for CRVE. The agreement between VAMPIRE and SIVA was also poor to moderate: the mean difference was 36.6 µm (95% LOA, −12.8–60.4 µm) for CRAE, and 40.3 µm (95% LOA, 5.6–75.0 µm) for CRVE. The agreement between IVAN and SIVA was good to excellent: the mean difference was 16.4 µm (95% LOA, −4.25–37.0 µm) for CRAE, and 19.3 µm (95% LOA, 0.09–38.6 µm) 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.
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics12061317