VAMPIRE
cat
fundus
image analysis algorithms
retinal photography
software validation
systemic hypertension
Journal
Veterinary ophthalmology
ISSN: 1463-5224
Titre abrégé: Vet Ophthalmol
Pays: England
ID NLM: 100887377
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
received:
29
08
2018
revised:
29
01
2019
accepted:
31
01
2019
pubmed:
23
2
2019
medline:
2
4
2020
entrez:
23
2
2019
Statut:
ppublish
Résumé
To validate a retinal imaging software named VAMPIRE One hundred and five healthy cats were enrolled. They represented the normal dataset used in the validation (group 1). Forty-three hypertensive cats with no noticeable retinal abnormalities were enrolled for the clinical validity of the software (group 2). Eleven points (4 veins, 4 arteries, and 3 arterial bifurcations) were measured for each digital image. Repeatability and reproducibility of measurements were assessed using two independent operators. Data were statistically analyzed by the Mann-Whiney and Tukey box plot. Significance was considered when P < 0.05. Two hundred and ten retinal images were analyzed for a total of 2310 measurements. Total mean was 9.1 and 6.1 pixels for veins and arteries, respectively. First, second, and third arteriolar bifurcations angles were 73.6°, 76.9°, and 85.4°, respectively. A comparison between groups 1 and 2 showed a statistically significant reduction in arteriolar diameter (mean 3.3 pixels) and branch angle (55°, 47.8° and 59.9°) associated with increasing vein diameter (mean 24.15 pixels). Current image analysis techniques used in human medicine were investigated in terms of extending their use to veterinary medicine. The VAMPIRE
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
819-827Informations de copyright
© 2019 American College of Veterinary Ophthalmologists.
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