Web of Science: 20 cites, Scopus: 24 cites, Google Scholar: cites,
CT angiography for the assessment of EVAR complications : a pictorial review
Gozzo, Cecilia (Advanced Technologies "GF Ingrassia")
Caruana, Giovanni (Hospital Universitari Vall d'Hebron)
Cannella, Roberto (University of Palermo)
Farina, Arduino (University Hospital "Paolo Giaccone")
Giambelluca, Dario (Ospedale Umberto I)
Dinoto, Ettore (Policlinico Paolo Giaccone (Palermo, Itàlia))
Vernuccio, Federica (University of Palermo)
Basile, Antonio (Advanced Technologies "GF Ingrassia")
Midiri, Massimo (University of Palermo)
Universitat Autònoma de Barcelona

Data: 2022
Resum: Endovascular aneurysm repair (EVAR) is a minimally invasive treatment proposed as an alternative to open repair in patients with abdominal aortic aneurysms. EVAR consists in a stent-graft placement within the aorta in order to exclude the aneurysm from arterial circulation and reduce the risk of rupture. Knowledge of the various types of devices is mandatory because some stents/grafts are more frequently associated with complications. CT angiography is the gold standard diagnostic technique for preprocedural planning and postprocedural surveillance. EVAR needs long-term follow-up due to the high rate of complications. Complications can be divided in endograft device-related and systemic complications. The purpose of this article is to review the CT imaging findings of EVAR complications and the key features for the diagnosis.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Aortic aneurysm ; Abdominal ; Computed tomography angiography ; Endovascular procedures ; Blood vessel prosthesis implantation ; Stents
Publicat a: Insights into Imaging, Vol. 13 (january 2022) , ISSN 1869-4101

DOI: 10.1186/s13244-021-01112-4
PMID: 35032231


18 p, 3.4 MB

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