ArticleScientific reports2024
Numerical flow experiment for assessing predictors for cerebrovascular accidents in patients with PHACES syndrome.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- PHACE syndrome in an infant: the importance of multidisciplinary screening in extensive facial infantile haemangiomas.BMJ case reports · 2026Article
- A numerical flow experiment for assessing the risk of rupture in anterior communicating artery aneurysms in relation to aneurysm projection.Scientific reports · 2026Article
- From a Facial Hemangioma to a Critical Diagnosis: Uncovering Coarctation of the Aorta in an Infant.Journal of the American College of Emergency Physicians open · 2025Review
- PHACE syndrome: looking backward and forward.Orphanet journal of rare diseases · 2025Review
- Fluid-structure interaction in a follow-up study of arterio-venous fistula maturation.Scientific reports · 2024Article
- Intracranial bypass for giant aneurysms treatment assessed by computational fluid dynamics (CFD) analysis.Scientific reports · 2024Article
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an increased risk of cerebrovascular accidents (CVA) in individuals with PHACES, yet the precise causes are not well understood. In this analysis, we aimed to examine the role of arteriopathy in PHACES syndrome as a potential contributor to CVA. We analyzed clinical and radiological data from 282 patients with suspected PHACES syndrome. We analyzed clinical features, including the presence of infantile hemangioma and radiological features based on magnetic resonance angiography or computed tomography angiography, in individuals with PHACES syndrome according to the Garzon criteria. To analyze intravascular blood flow, we conducted a simulation based on the Fluid-Structure Interaction (FSI) method, utilizing radiological data. The collected data underwent statistical analysis. Twenty patients with PHACES syndrome were included. CVAs were noted in 6 cases. Hypoplasia (p = 0.03), severe tortuosity (p < 0.01), absence of at least one main cerebral artery (p < 0.01), and presence of persistent arteries (p = 0.01) were associated with CVAs, with severe tortuosity being the strongest predictor. The in-silico analysis showed that the combination of hypoplasia and severe tortuosity resulted in a strongly thrombogenic environment. Severe tortuosity, combined with hypoplasia, is sufficient to create a hemodynamic environment conducive to thrombus formation and should be considered high-risk for cerebrovascular accidents (CVAs) in PHACES patients.
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