Imaging of Coronary Stent by Multislice Helical Computed Tomography

Zhao, Suping; Nie, Yongkang; Cai, Zhigang; Hong, Zhao; Yang, Li

doi:10.1161/01.cir.0000024984.96722.9e

Cited by 7 publications

(2 citation statements)

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“…MSCT has been proposed as an alternative to coronary angiography in evaluating the patency of tracts of the coronary artery treated with a stent implant (10). VR representation of MSCT data sets can be used to reliably distinguish between stent patency and stent occlusion by detecting whether the vessel distal to the stent is opacified or not.…”

Section: Coronary Artery Stent Imagingmentioning

confidence: 99%

Different Post‐Processing Protocols in Routine Cardiac Multislice CT Examination

Ligabue

2004

Imaging Decisions

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Section: Coronary Artery Stent Imagingmentioning

confidence: 99%

Different Post‐Processing Protocols in Routine Cardiac Multislice CT Examination

Ligabue

2004

Imaging Decisions

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“…1,2 The stent evaluation in one of the most important issues for CT angiography. Investigators have evaluated coronary stents using electron beam [3][4][5][6] or multidetector CT [7][8][9][10][11] and the effects of the convolution kernel, the number of detector rows of the CT scanner, and the patient's heart rate on the lumen visibility or CT attenuation inside the stent have been estimated. However, few reports are available on the effects of the stent diameter and vessel orientation to the z-axis.…”

mentioning

confidence: 99%

Evaluation of Coronary Stents In Vitro With CT Angiography Effect of Stent Diameter, Convolution Kernel, and Vessel Orientation to the Z-Axis

Suzuki

Furui

Kaminaga

et al. 2005

Circ J

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BackgroundThe aims of the present study were to assess the effect of the stent diameter, convolution kernel, and vessel orientation to the z-axis on the evaluation of coronary stents, in vitro with computed tomography (CT) angiography. Methods and Results Seven vascular models (2 models without stenosis, 2 with obstruction, and 3 with stenosis) with an approximate inner diameter of 3 or 4 mm, filled with contrast material (79 or 330 HU) were scanned with a 16-detector CT. The diameter measurement of the stent lumen and stenosis evaluation were both done in an orientation parallel to the z-axis of the scanner using 4 convolution kernels. The measured diameters of the stented lumen were 47-57% and 36-45% smaller than the actual inner diameter of the 3-and 4-mm diameter models, respectively. The diameter measurement of the stent lumen and visualization of the in-stent stenosis were improved by using convolution kernels with higher spatial resolution. The in-stent artifacts were evaluated in 4 orientations (0°, 30°, 60°, 90°) to the z-axis. The artifact was the minimum in 0°to the z-axis, and the maximum in 90°. Conclusion Visualization of the lumen of a stent by CT is affected by its diameter, convolution kernel, and vessel orientation to the z-axis, and these factors should be taken into consideration in the stent evaluation. (Circ J 2005; 69: 1124 -1131

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