Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis.
Change detection
Feature extraction
Follow-up monitoring
Intracranial aneurysm
Rupture risk assessment
Shape morphing
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
23 Aug 2024
23 Aug 2024
Historique:
received:
18
04
2024
accepted:
16
08
2024
medline:
24
8
2024
pubmed:
24
8
2024
entrez:
23
8
2024
Statut:
epublish
Résumé
Growing intracranial aneurysms pose a high risk of rupture, making the detection and quantification of the growth crucial for timely treatment strategy adoption. In this paper we propose a computer-assisted approach based on the extraction of IA shapes from associated baseline and follow-up angiographic scans and non-rigid morphing of the two shapes. From the obtained shape deformations we computed four novel features, including differential volume (dV), surface area (dSA), aneurysm-size normalized median deformation path length (dMPL), and integral of cumulative deformation distances (dICDD). An experienced neuroradiologist manually extracted the IA shape models from the baseline and follow-up MRAs and, by utilizing size change and visual assessments, classified each aneurysm into stable with morphology changes, stable or growing. We investigated the classification performance and found that three of the novel and one cross-sectional feature exhibited significantly different mean values (p-value
Identifiants
pubmed: 39179696
doi: 10.1038/s41598-024-70453-z
pii: 10.1038/s41598-024-70453-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
19609Subventions
Organisme : The Slovenian Research and Innovation Agency (ARIS)
ID : J2-2500
Organisme : The Slovenian Research and Innovation Agency (ARIS)
ID : J2-3059
Informations de copyright
© 2024. The Author(s).
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