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Roentgen stereophotogrammetric analysis: an accurate tool to assess stent-graft migration.
- Source :
- Journal of Endovascular Therapy; Aug2006, Vol. 13 Issue 4, p468-475, 8p
- Publication Year :
- 2006
-
Abstract
- <bold>Purpose: </bold>To evaluate in an in vitro model the feasibility and accuracy of Roentgen stereophotogrammetric analysis (RSA) versus computed tomography (CT) for the ability to detect stent-graft migration. <bold>Methods: </bold>An aortic model was constructed from a 22-mm-diameter Plexiglas tube with 6-mm polytetrafluoroethylene inlays to mimic the renal arteries. Six tantalum markers were placed in the wall of the aortic tube proximal to the renal arteries. Another 6 markers were added to a Gianturco stent, which was cast in Plexiglas and placed inside the aorta and fixed to a micromanipulator to precisely control displacement of the stent along the longitudinal axis. Sixteen migrations were analyzed with RSA software and compared to the micromanipulator. Thirty-two migrations were measured by 3 observers from CT images acquired with 16x0.5-mm beam collimation and reconstructed with a 0.5-mm slice thickness and a 0.4-mm reconstruction interval. Measurements were made with Vitrea postprocessing software using a standard clinical protocol and central lumen line reconstruction. Results of CT were also compared to the micromanipulator. <bold>Results: </bold>The mean RSA measurement error compared to the micromanipulator was 0.002+/-0.044 mm, and the maximum error was 0.10 mm. There was no statistically significant interobserver variability for CT (p=0.17). The pooled mean (maximum) measurement error of CT was 0.14+/-0.29 (1.00) mm, which was significantly different from the RSA measurement error (p<0.0001). <bold>Conclusion: </bold>Detection of endograft migration by RSA is feasible and was significantly more accurate than CT in this nonpulsatile in vitro model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15266028
- Volume :
- 13
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Endovascular Therapy
- Publication Type :
- Academic Journal
- Accession number :
- 106236681
- Full Text :
- https://doi.org/10.1583/06-1842mr.1