Literature DB >> 21461883

In vivo evaluation of stent patency by 64-slice multidetector CT coronary angiography: shall we do it or not?

Jiayin Zhang1, Minghua Li, Zhigang Lu, Jingyu Hang, Jingwei Pan, Leiqing Sun.   

Abstract

The diagnostic performance of in-stent restenosis (ISR) by 64-slice multidetector CT coronary angiography (CTCA) has been reported to be influenced by multiple factors. We evaluated individual factors (stent diameter, material and strut thickness) and therefore determined the proper population for follow-up by using this modality. A total of 171 stents were evaluated in 83 consecutive patients with stents imaged with CTCA and conventional coronary angiography. The stent diameter ranged from 2.25 mm to 4.5 mm. 2 models of stainless steel (Taxus Liberte (Boston Scientific, US), 56 stents and Cypher Select (Cordis, US), 34 stents) and 2 models of cobalt alloy (Endeavor (Medtronic, US), 33 stents and Firebird2 (MicroPort, China), 48 stents) were included. By comparing to conventional coronary angiography, the image quality and diagnostic accuracy for ISR were evaluated. The image quality of Taxus, Endeavor and Firebird are markedly better than Cypher in large caliber group (≧3.0 mm) (P < 0.001). Except for Cypher, all other stents with diameter ≧3.0 mm showed excellent diagnostic accuracy (sensitivity 100%, specificity 94.4-96% whereas stents with diameter <3.0 mm had poor diagnostic accuracy (sensitivity 100%, specificity 33.3-70%). Cypher is the stent with thickest strut in our study, and showed reduced image quality and diagnostic accuracy in all stent size, due to large number of unassessable stents. Among 16 binary ISR, 12 lesions were correctly diagnosed by CTCA while the other 4 lesions were unassessable. The main reason for low specificity in small caliber group is the large number of unassessable stents. CTCA has high diagnostic accuracy to identify ISR in selected stents with a diameter of ≧3.0 mm.

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Year:  2011        PMID: 21461883     DOI: 10.1007/s10554-011-9842-1

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  20 in total

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3.  Assessment of coronary artery stent patency and restenosis using 64-slice computed tomography.

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Journal:  Acad Radiol       Date:  2006-12       Impact factor: 3.173

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Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

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Journal:  Br Heart J       Date:  1993-09

7.  64-slice multidetector coronary CT angiography: in vitro evaluation of 68 different stents.

Authors:  David Maintz; Harald Seifarth; Rainer Raupach; Thomas Flohr; Michael Rink; Torsten Sommer; Murat Ozgün; Walter Heindel; Roman Fischbach
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Journal:  J Am Coll Cardiol       Date:  2005-09-12       Impact factor: 24.094

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Authors:  Paul D Stein; Abdo Y Yaekoub; Fadi Matta; H Dirk Sostman
Journal:  Am J Med       Date:  2008-08       Impact factor: 4.965

10.  A polymer-based, paclitaxel-eluting stent in patients with coronary artery disease.

Authors:  Gregg W Stone; Stephen G Ellis; David A Cox; James Hermiller; Charles O'Shaughnessy; James Tift Mann; Mark Turco; Ronald Caputo; Patrick Bergin; Joel Greenberg; Jeffrey J Popma; Mary E Russell
Journal:  N Engl J Med       Date:  2004-01-15       Impact factor: 91.245

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  9 in total

1.  CT evaluation of coronary artery stents with iterative image reconstruction: improvements in image quality and potential for radiation dose reduction.

Authors:  Ullrich Ebersberger; Francesco Tricarico; U Joseph Schoepf; Philipp Blanke; J Reid Spears; Garrett W Rowe; William T Halligan; Thomas Henzler; Fabian Bamberg; Alexander W Leber; Ellen Hoffmann; Paul Apfaltrer
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

2.  Angiographic patterns of in-stent restenosis classified by computed tomography in patients with drug-eluting stents: correlation with invasive coronary angiography.

Authors:  Jingwei Pan; Zhigang Lu; Jiayin Zhang; Minghua Li; Meng Wei
Journal:  Eur Radiol       Date:  2012-07-08       Impact factor: 5.315

3.  Coronary in-stent restenosis: predisposing clinical and stent-related factors, diagnostic performance and analyses of inaccuracies in 320-row computed tomography angiography.

Authors:  Yung-Liang Wan; Pei-Kwei Tsay; Chun-Chi Chen; Yu-Hsiang Juan; Yu-Chieh Huang; Wen-Hui Chan; Ming-Shien Wen; I-Chang Hsieh
Journal:  Int J Cardiovasc Imaging       Date:  2016-04-22       Impact factor: 2.357

4.  Coronary stent occlusion: reverse attenuation gradient sign observed at computed tomography angiography improves diagnostic performance.

Authors:  Minghua Li; Jiayin Zhang; Qingyong Zhang; Jingwei Pan; Zhigang Lu; Meng Wei
Journal:  Eur Radiol       Date:  2014-09-26       Impact factor: 5.315

5.  Computer-aided CT coronary artery stenosis detection: comparison with human reading and quantitative coronary angiography.

Authors:  Matthias Rief; Anisha Kranz; Lisa Hartmann; Robert Roehle; Michael Laule; Marc Dewey
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-13       Impact factor: 2.357

6.  Third generation dual-source CT enables accurate diagnosis of coronary restenosis in all size stents with low radiation dose and preserved image quality.

Authors:  Yuehua Li; Mengmeng Yu; Wenbin Li; Zhigang Lu; Meng Wei; Jiayin Zhang
Journal:  Eur Radiol       Date:  2018-01-18       Impact factor: 5.315

7.  CT Imaging of Coronary Stents: Past, Present, and Future.

Authors:  Andreas H Mahnken
Journal:  ISRN Cardiol       Date:  2012-09-11

8.  Performance of dual-source CT with high pitch spiral mode for coronary stent patency compared with invasive coronary angiography.

Authors:  Xia Yang; Qiang Yu; Wei Dong; Zhen-Hong Fu; Jun-Jue Yang; Jun Guo; Yun-Dai Chen
Journal:  J Geriatr Cardiol       Date:  2016-10       Impact factor: 3.327

9.  Effect of age and plaque morphology on diagnostic accuracy of dual source multidetector computed tomography coronary angiography.

Authors:  Hamza Sunman; Kudret Aytemir; Hikmet Yorgun; Uğur Canpolat; Ali Taher; Edis Demiri; Tuncay Hazırolan; Levent Sahiner; Ergün B Kaya; Giray Kabakçı; Lale Tokgözoğlu; Ali Oto
Journal:  J Geriatr Cardiol       Date:  2014-06       Impact factor: 3.327

  9 in total

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