Volume 15 Supplement 1
Using MRI derived patient-specific flow models and flow imaging for flow diverting stent rehearsal
© Acevedo-Bolton and Saloner; licensee BioMed Central Ltd. 2013
Published: 30 January 2013
Flow diverting stents have recently been approved for use in treating vascular geometries not amenable to standard coiling or clipping. By using multiple stents, one inside another, the amount of blood passing through the stent walls can be controlled. Often, these stents must be deployed in aneurysms with tortuous vessels and complex geometries. The ability to rehearse stent deployment as well as to determine the number of stents required beforehand would be of great benefit to clinicians. In addition, the ability to non-invasively track the effects of these stents once deployed in vivo would be helpful in assessing whether the stent was having the intended effect. In our work, we show the utility of patient-specific flow models derived from CE-MRA to rehearse transcatheter stent placement and to assess the resulting flow conditions.
Model construction: CE-MRA data were used to construct two patient-specific silicone models using a lost wax method. Each model was connected to a custom built flow pump, and gadolinium-doped water was pumped through. Stent placement: under physiologic flow conditions, interventionalists deployed the stents in the models under the guidance of fluoroscopy in an angiography suite. Flow imaging: 7D PC-MRI was performed on the flow model both prior to and after stent placement.
Patient specific flow models allowed interventionalists to rehearse stent deployment in complex geometries. These models in combination with MRI, allow for the assessment of the effect these stents have on flow patterns as well as an estimate of the total number of stents required for adequate flow reduction. Furthermore, the resulting artifacts from the stent is relatively small, as seen by the localized lack of streamlines in Figure 2b, thus allowing for longitudinal non-invasive monitoring of the aneurysm.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.