European Radiology

, Volume 21, Issue 8, pp 1779–1787 | Cite as

Flat-detector computed tomography in the assessment of intracranial stents: comparison with multi detector CT and conventional angiography in a new animal model

  • Tobias StruffertEmail author
  • Sabine Ott
  • Edyta Adamek
  • Marc Schwarz
  • Tobias Engelhorn
  • Stephan Kloska
  • Yu Deuerling-Zheng
  • Arnd Doerfler



Careful follow up is necessary after intracranial stenting because in-stent restenosis (ISR) or residual stenosis (RS) is not rare. A minimally invasive follow-up imaging technique is desirable. The objective was to compare the visualisation of stents in Flat Detector-CT Angiography (FD-CTA) after intravenous contrast medium injection (i.v.) with Multi Detector Computed Tomography Angiography (MD-CTA) and Digital Subtracted Angiography (DSA) in an animal model.


Stents were implanted in the carotid artery of 12 rabbits. In 6 a residual stenosis (RS) was surgically created. Imaging was performed using FD-CTA, MD-CTA and DSA. Measurements of the inner and outer diameter and cross-section area of the stents were performed. Stenosis grade was calculated.


In subjective evaluation FD-CTA was superior to MD-CTA. FD-CTA was more accurate compared with DSA than MD-CTA. Cross-sectional area of the stent lumen was significantly larger (p < 0.05) in FD-CTA in comparison to MD-CTA. Accurate evaluation of stenosis was impossible in MD-CTA. There was no statistically significant difference in the stenosis grade of DSA and FD-CTA.


Our results show that visualisation of stent and stenosis using intravenous FD-CTA compares favourably with DSA and may replace DSA in the follow-up of patients treated with intracranial stents.


Angiography Flat detector computed tomography Animal model Multislice computed tomography Intracranial stent 



The work described in this study was supported by a grant from the ELAN-Fonds, Erlangen, Germany (, Project number Boston Scientific/Target supported our work by supporting stents and other angiographic equipment.


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Copyright information

© European Society of Radiology 2011

Authors and Affiliations

  • Tobias Struffert
    • 1
    Email author
  • Sabine Ott
    • 1
  • Edyta Adamek
    • 1
  • Marc Schwarz
    • 1
  • Tobias Engelhorn
    • 1
  • Stephan Kloska
    • 1
  • Yu Deuerling-Zheng
    • 2
  • Arnd Doerfler
    • 1
  1. 1.Department of NeuroradiologyUniversity of Erlangen-NurembergErlangenGermany
  2. 2.Siemens AG, Healthcare SectorForchheimGermany

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