Literature DB >> 16764004

Quantitative assessment of in-stent dimensions: a comparison of 64 and 16 detector multislice computed tomography to intravascular ultrasound.

Nirat Beohar1, Joel D Robbins, Brendan J Cavanaugh, Asimul H Ansari, Vahid Yaghmai, James Carr, Charles J Davidson.   

Abstract

OBJECTIVES: To determine the utility of multislice computed tomography (MSCT) technology to evaluate coronary stent luminal diameter.
BACKGROUND: Stent metal induced "blooming" artifact makes quantitative coronary angiography by MSCT difficult. There is a paucity of data on the efficacy of using 64 and 16 detector MSCT in evaluating coronary stents.
METHODS: We evaluated four commercially available bare metal and polymer coated drug eluting stents using 64 and 16 detector MSCT for the following: (1) Strut density in Hounsfield's Units (Hu) using a 2 mm MIP; (2) In-stent luminal diameter (ISLD) measured by MSCT compared to intravascular ultrasound (IVUS).
RESULTS: Increased strut thickness did not correlate with greater strut density as measured in Hu (R(2) = 0.05, P = 0.29). The ISLD by 16 MSCT vs. IVUS is: Vision 1.63 +/- 0.58 mm vs. 2.8 +/- 0.0; Cypher 1.80 +/- 0.00 vs. 2.9 +/- 0.0; Taxus 1.87 +/- 0.58 vs. 2.9 +/- 0.0; Liberté 1.80 +/- 0.10 vs. 3.0 +/- 0.1 (P < 0.01). ISLD determined by 64 MSCT vs. IVUS is: Vision 1.73 +/- 0.06 mm vs. 2.8 +/- 0.0; Cypher 1.87 +/- 0.12 vs. 2.9 +/- 0.0; Taxus 1.77 +/- 0.06 vs. 2.9 +/- 0.0; Liberté 1.80 +/- 0.10 vs. 3.0 +/- 0.1 (P < 0.01).
CONCLUSIONS: When compared to IVUS measurements, MSCT results in a significant, underestimation of ISLD. This consistent underestimation (even with 64 MSCT) limits the applicability of CT angiography to quantify in-stent restenosis. Copyright 2006 Wiley-Liss, Inc.

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Mesh:

Year:  2006        PMID: 16764004     DOI: 10.1002/ccd.20786

Source DB:  PubMed          Journal:  Catheter Cardiovasc Interv        ISSN: 1522-1946            Impact factor:   2.692


  3 in total

1.  Clinical evaluation of a commercial orthopedic metal artifact reduction tool for CT simulations in radiation therapy.

Authors:  Hua Li; Camille Noel; Haijian Chen; H Harold Li; Daniel Low; Kevin Moore; Paul Klahr; Jeff Michalski; Hiram A Gay; Wade Thorstad; Sasa Mutic
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

2.  Assessment of in-stent restenosis using 64-MDCT: analysis of the CORE-64 Multicenter International Trial.

Authors:  Joanna J Wykrzykowska; Armin Arbab-Zadeh; Gustavo Godoy; Julie M Miller; Shezhang Lin; Andrea Vavere; Narinder Paul; Hiroyuki Niinuma; John Hoe; Jeffrey Brinker; Faisal Khosa; Sheryar Sarwar; Joao Lima; Melvin E Clouse
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

3.  Feasibility of improving vascular imaging in the presence of metallic stents using spectral photon counting CT and K-edge imaging.

Authors:  Monica Sigovan; Salim Si-Mohamed; Daniel Bar-Ness; Julia Mitchell; Jean-Baptiste Langlois; Philippe Coulon; Ewald Roessl; Ira Blevis; Michal Rokni; Gilles Rioufol; Philippe Douek; Loic Boussel
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  3 in total

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