Possible use of Digital Variance Angiography in Liver Transarterial Chemoembolization: A Retrospective Observational Study.
Contrast-to-noise ratio (CNR)
Digital subtraction angiography (DSA)
Digital variance angiography (DVA)
Image quality (IQ)
Transarterial chemoembolization (TACE)
Journal
Cardiovascular and interventional radiology
ISSN: 1432-086X
Titre abrégé: Cardiovasc Intervent Radiol
Pays: United States
ID NLM: 8003538
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
26
12
2022
accepted:
11
03
2023
medline:
5
5
2023
pubmed:
20
4
2023
entrez:
19
04
2023
Statut:
ppublish
Résumé
Digital variance angiography (DVA), a recently developed image processing technology, provided higher contrast-to-noise ratio (CNR) and better image quality (IQ) during lower limb interventions than digital subtraction angiography (DSA). Our aim was to investigate whether this quality improvement can be observed also during liver transarterial chemoembolization (TACE). We retrospectively compared the CNR and IQ parameters of DSA and DVA images from 25 patients (65% male, mean ± SD age: 67.5 ± 11.2 years) underwent TACE intervention at our institute. CNR was calculated on 50 images. IQ of every image set was evaluated by 5 experts using 4-grade Likert scales. Both single image evaluation and paired image comparison were performed in a blinded and randomized manner. The diagnostic value was evaluated based on the possibility to identify lesions and feeding arteries. DVA provided significantly higher CNR (mean CNR In our study, DVA provided higher quality images and better diagnostic insight than DSA; therefore, DVA could represent a useful tool in liver TACE interventions. III Non-consecutive study.
Identifiants
pubmed: 37076552
doi: 10.1007/s00270-023-03420-2
pii: 10.1007/s00270-023-03420-2
pmc: PMC10156832
doi:
Types de publication
Observational Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
635-642Subventions
Organisme : EU Horizon 2020 EIC Acclerator
ID : 968430 KMIT-ACC
Organisme : National Research, Development and Innovation Office of Hungary
ID : 2020-1.1.5-GYORSÍTÓSÁV-2021-00018
Informations de copyright
© 2023. The Author(s).
Références
J Vasc Interv Radiol. 2022 Feb;33(2):104-112
pubmed: 34653607
Cardiovasc Intervent Radiol. 2020 Aug;43(8):1226-1231
pubmed: 32476034
Semin Liver Dis. 2010 Feb;30(1):61-74
pubmed: 20175034
Cardiovasc Intervent Radiol. 2021 Mar;44(3):452-459
pubmed: 33145701
J Opt Soc Am. 1953 Sep;43(9):715-6
pubmed: 13097255
Invest Radiol. 2019 Jul;54(7):428-436
pubmed: 30829769
Cancer Imaging. 2022 Jul 30;22(1):37
pubmed: 35908026
IEEE Trans Med Imaging. 2014 Oct;33(10):2031-8
pubmed: 24951684
BMC Bioinformatics. 2017 Nov 29;18(1):529
pubmed: 29187165
Cardiovasc Intervent Radiol. 2021 Dec;44(12):1851-1867
pubmed: 34694454
Anticancer Res. 2013 May;33(5):2077-83
pubmed: 23645758
Radiology. 2019 Jan;290(1):246-253
pubmed: 30325284
Sci Rep. 2021 Nov 8;11(1):21790
pubmed: 34750427
Eur J Radiol Open. 2020 Nov 17;7:100288
pubmed: 33294499