Update on multidetector coronary CT angiography of coronary stents: in vitro evaluation of 29 different stent types with dual-source CT

The aim of this study was to test a large sample of the latest coronary artery stents using four image reconstruction approaches with respect to lumen visualization, lumen attenuation, and image noise in dual-source multidetector row CT (DSCT) in vitro and to provide a CT catalogue of currently used coronary artery stents. Twenty-nine different coronary artery stents (19 steel, 6 cobalt-chromium, 2 tantalum, 1 iron, 1 magnesium) were examined in a coronary artery phantom (vessel diameter 3 mm, intravascular attenuation 250 HU, extravascular density −70 HU). Stents were imaged in axial orientation with standard parameters: 32 × 0.6 collimation, pitch 0.24, 400 mAs, 120 kV, rotation time 0.33 s. Image reconstructions were obtained with four different convolution kernels (soft, medium-soft, standard high-resolution, stent-dedicated). To evaluate visualization characteristics of the stent, the lumen diameter, intraluminal density, and noise were measured. The stent-dedicated kernel offered best average lumen visualization (54 ± 8.3%) and most realistic lumen attenuation (222  ± 44 HU) at the expense of increased noise (23.9 ± 1.9 HU) compared with standard CTA protocols (p < 0.001 for all). The magnesium stent showed the least artifacts with a lumen visibility of 90%. The majority of stents (79%) exhibited a lumen visibility of 50–59%. Less than half of the stent lumen was visible in only six stents. Stent lumen visibility largely varies depending on the stent type. Magnesium is by far more favorable a stent material with regard to CT imaging when compared with the more common materials steel, cobalt-chromium, or tantalum. The magnesium stent exhibits a lumen visibility of 90%, whereas the majority of the other stents exhibit a lumen visibility of 50–59%.

[1]  D. Oncel,et al.  Coronary Stent Patency and In-Stent Restenosis: Determination with64-SectionMultidetectorCT CoronaryAngiography—Initial , 2007 .

[2]  Jeffrey W Moses,et al.  Sirolimus-eluting stents versus standard stents in patients with stenosis in a native coronary artery. , 2003, The New England journal of medicine.

[3]  Rüdiger Blindt,et al.  Coronary Artery Stents in Multislice Computed Tomography: In Vitro Artifact Evaluation , 2004, Investigative radiology.

[4]  Rainer Raupach,et al.  64-slice multidetector coronary CT angiography: in vitro evaluation of 68 different stents , 2006, European Radiology.

[5]  Walter Heindel,et al.  Imaging of coronary artery stents using multislice computed tomography: in vitro evaluation , 2003, European Radiology.

[6]  G. Ligabue,et al.  Noninvasive evaluation of coronary artery stents patency after PTCA: role of Multislice Computed Tomography. , 2004, La Radiologia medica.

[7]  K. Bae,et al.  Coronary artery stent patency assessed with in-stent contrast enhancement measured at multi-detector row CT angiography: initial experience. , 2004, Radiology.

[8]  W. Heindel,et al.  Assessment of coronary arterial stents by multislice-CT angiography. , 2003, Acta radiologica.

[9]  Jeroen J. Bax,et al.  Evaluation of patients with previous coronary stent implantation with 64-section CT. , 2007, Radiology.

[10]  H. Schunkert,et al.  Rational use of drug-eluting stents: a comparison of different policies. , 2007, Critical pathways in cardiology.

[11]  Raimund Erbel,et al.  Temporary scaffolding of coronary arteries with bioabsorbable magnesium stents: a prospective, non-randomised multicentre trial , 2007, The Lancet.

[12]  A. El-Menyar,et al.  Contrast-enhanced 64-section coronary multidetector CT angiography versus conventional coronary angiography for stent assessment. , 2007, Radiology.

[13]  A. Mahnken,et al.  Multislice spiral computed tomography for the detection of coronary stent restenosis and patency. , 2003, International journal of cardiology.

[14]  M. Reiser,et al.  Assessment of coronary artery stent patency and restenosis using 64-slice computed tomography. , 2006, Academic radiology.

[15]  W. Heindel,et al.  64- Versus 16-Slice CT Angiography for Coronary Artery Stent Assessment: In Vitro Experience , 2006, Investigative radiology.

[16]  Rainer Raupach,et al.  Assessment of coronary artery stents using 16-slice MDCT angiography: evaluation of a dedicated reconstruction kernel and a noise reduction filter , 2005, European Radiology.

[17]  Gregg W Stone,et al.  A polymer-based, paclitaxel-eluting stent in patients with coronary artery disease. , 2004, The New England journal of medicine.

[18]  W. B. Meijboom,et al.  Multislice Spiral Computed Tomography for the Evaluation of Stent Patency After Left Main Coronary Artery Stenting: A Comparison With Conventional Coronary Angiography and Intravascular Ultrasound , 2006, Circulation.

[19]  P J de Feyter,et al.  Dual source coronary computed tomography angiography for detecting in-stent restenosis , 2007, Heart.

[20]  Jeroen J. Bax,et al.  Feasibility of assessment of coronary stent patency using 16-slice computed tomography. , 2004, The American journal of cardiology.

[21]  Thomas Flohr,et al.  Improved coronary artery stent visualization and in-stent stenosis detection using 16-slice computed-tomography and dedicated image reconstruction technique. , 2003, Investigative radiology.

[22]  Gregg W. Stone,et al.  A polymer-based, paclitaxel-eluting stent in patients with coronary artery disease , 2004 .

[23]  W. Bautz,et al.  Assessment of coronary artery stent restenosis by 64-slice multi-detector computed tomography. , 2006, European heart journal.

[24]  Gilles Rioufol,et al.  Noninvasive assessment of left main coronary stent patency with 16-slice computed tomography. , 2005, The American journal of cardiology.

[25]  G. Parodi,et al.  Usefulness of 64-slice multidetector computed tomography for detecting drug eluting in-stent restenosis. , 2007, The American journal of cardiology.

[26]  K. Furie,et al.  Heart disease and stroke statistics--2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. , 2007, Circulation.