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Τετάρτη 14 Μαρτίου 2018

Quantitative Analysis of Conebeam CT for Delineating Stents in Stent-Assisted Coil Embolization [INTERVENTIONAL]

BACKGROUND AND PURPOSE:

Innovative techniques and device-related advances have improved the outcomes of neuroendovascular treatment. 3D imaging has previously used 2 x 2 binning, but 1 x 1 binning has recently been made available. The aim of this study was to evaluate the quantitative ability of conebeam CT for stent delineation and to investigate its effectiveness in the clinical environment.

MATERIALS AND METHODS:

Four acquisition groups of 3D MIP images acquired using conebeam CT with varying conditions (acquisition time, 10 or 20 seconds and binning, 1 x 1 or 2 x 2) were compared. Two methods of analysis were performed, a phantom study and an analysis of 28 randomly selected patients. The phantom study assessed the contrast-to-noise ratio and full width at half maximum values in conebeam CT images of intracranial stent struts. In the clinical subjects, we assessed contrast-to-noise ratio, full width at half maximum, and dose-area product.

RESULTS:

In the phantom study, the contrast-to-noise ratio was not considerably different between 10- and 20-second acquisition times at equivalent binning settings. Additionally, the contrast-to-noise ratio at equivalent acquisition times did not differ considerably by binning setting. For the full width at half maximum results, equivalent acquisition times differed significantly by binning setting. In the clinical analyses, the 10-second/1 x 1 group (versus 20 second/2 x 2) showed a higher contrast-to-noise ratio (P < .05) and a dose-area product reduced by approximately 70% (P < .05), but the difference in full width at half maximum was not significant (P = .20).

CONCLUSIONS:

For stent-assisted coil embolization, quantitative assessment of conebeam CT showed that 10 second/1 x 1 was equivalent to 20 second/2 x 2 for imaging deployed intracranial stents. Furthermore, the 10-second/1 x 1 settings resulted in a much smaller DAP.



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