Literature DB >> 23283562

Myocardial density analysis utilizing automated myocardial defect analysis software on resting 320-detector MDCT.

John M Troupis1, Alex Karge, Sujith Seneviratne, Arthur Nasis, Eileen C Ang, Brian S Ko, Dee Nandurkar, Eldho Paul, Roland Hilling-Smith, James Cameron.   

Abstract

Cardiac CT myocardial perfusion is an emerging tool utilizing differences in myocardial density of ischemic compared to normal myocardium. We sought to document the contrast enhanced density profile of myocardial segments subtended by severely stenotic coronary arteries on rest (non stress) cardiac CT imaging, and compare the density with identical segments without ischemic disease. 100 cardiac CT studies were identified resulting in 25 normal patients, 37 with severe left anterior descending artery stenosis, 14 with severe left circumflex artery stenosis, and 24 with severe right coronary artery stenosis. The studies were reviewed on a workstation with dedicated myocardial analysis software. Left anterior descending artery ischemic segments (apical anterior and apical septal) measured 82.2 (±3) and 102 (±3) Hounsfield unit (HU) respectively comparing with non-ischemic segments 89 (±4) and 109 (±4) HU respectively (both P values 0.16). Left circumflex artery segments (basal anterolateral and mid anterolateral) demonstrated 80 (±4) and 76 (±4) HU respectively compared to non-ischemic segments, 89 (±4) and 87 (±4) HU (P value 0.13 and 0.07 respectively). Right coronary artery ischemic segments (basal inferoseptal and basal inferior) measured 104 (±3) and 105 (±3) HU respectively and these compared with non-ischemic segments, 102 (±4) and 105 (±4) HU respectively (P Value 0.69 and 0.94 respectively). Comparison of ischemic myocardial segments with non-ischemic segments demonstrated no significant difference in myocardial density. In prospectively acquired resting 320 multi detector CT, the myocardium subtended by severely stenotic vessels demonstrates no significant density difference compared with those supplied by vessels with no stenosis, confirming that myocardial ischaemia cannot be reliably detected on rest coronary computed tomography angiography by qualitative nor quantitative assessment.

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Year:  2013        PMID: 23283562     DOI: 10.1007/s10554-012-0171-9

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


  32 in total

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Review 2.  CT stress myocardial perfusion imaging using multidetector CT--A review.

Authors:  Brian S Ko; James D Cameron; Tony Defrance; Sujith K Seneviratne
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-10-24

3.  Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study.

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Journal:  J Am Coll Cardiol       Date:  2010-05-28       Impact factor: 24.094

4.  Characterization and correction of beam-hardening artifacts during dynamic volume CT assessment of myocardial perfusion.

Authors:  Kakuya Kitagawa; Richard T George; Armin Arbab-Zadeh; João A C Lima; Albert C Lardo
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5.  Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve.

Authors:  Brian S Ko; James D Cameron; Ian T Meredith; Michael Leung; Paul R Antonis; Arthur Nasis; Marcus Crossett; Sarah A Hope; Sam J Lehman; John Troupis; Tony DeFrance; Sujith K Seneviratne
Journal:  Eur Heart J       Date:  2011-08-02       Impact factor: 29.983

Review 6.  Principles, current status and clinical implications of ischaemic heart disease assessment by cardiac magnetic resonance imaging.

Authors:  W Chan; A H Ellims; S J Duffy; D M Kaye; A J Taylor
Journal:  Intern Med J       Date:  2012-01       Impact factor: 2.048

7.  Can differences in corrected coronary opacification measured with computed tomography predict resting coronary artery flow?

Authors:  Benjamin J W Chow; Malek Kass; Owen Gagné; Li Chen; Yeung Yam; Alexander Dick; George A Wells
Journal:  J Am Coll Cardiol       Date:  2011-03-15       Impact factor: 24.094

8.  Quantification of myocardial perfusion by contrast-enhanced 64-MDCT: characterization of ischemic myocardium.

Authors:  Michinobu Nagao; Hiroshi Matsuoka; Hideo Kawakami; Hiroshi Higashino; Teruhito Mochizuki; Kenya Murase; Masahiko Uemura
Journal:  AJR Am J Roentgenol       Date:  2008-07       Impact factor: 3.959

9.  Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia.

Authors:  Richard T George; Armin Arbab-Zadeh; Julie M Miller; Kakuya Kitagawa; Hyuk-Jae Chang; David A Bluemke; Lewis Becker; Omair Yousuf; John Texter; Albert C Lardo; João A C Lima
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-31       Impact factor: 7.792

10.  Optimal medical therapy with or without percutaneous coronary intervention to reduce ischemic burden: results from the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial nuclear substudy.

Authors:  Leslee J Shaw; Daniel S Berman; David J Maron; G B John Mancini; Sean W Hayes; Pamela M Hartigan; William S Weintraub; Robert A O'Rourke; Marcin Dada; John A Spertus; Bernard R Chaitman; John Friedman; Piotr Slomka; Gary V Heller; Guido Germano; Gilbert Gosselin; Peter Berger; William J Kostuk; Ronald G Schwartz; Merill Knudtson; Emir Veledar; Eric R Bates; Benjamin McCallister; Koon K Teo; William E Boden
Journal:  Circulation       Date:  2008-02-11       Impact factor: 29.690

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  1 in total

Review 1.  Noninvasive physiologic assessment of coronary stenoses using cardiac CT.

Authors:  Lei Xu; Zhonghua Sun; Zhanming Fan
Journal:  Biomed Res Int       Date:  2015-01-20       Impact factor: 3.411

  1 in total

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