Literature DB >> 27718140

Prediction of clinical outcome by myocardial CT perfusion in patients with low-risk unstable angina pectoris.

Jesper J Linde1,2, Mathias Sørgaard3, Jørgen T Kühl3, Jens D Hove4,5, Henning Kelbæk6, Walter B Nielsen4, Klaus F Kofoed3,7.   

Abstract

The prognostic implications of myocardial computed tomography perfusion (CTP) analyses are unknown. In this sub-study to the CATCH-trial we evaluate the ability of adenosine stress CTP findings to predict mid-term major adverse cardiac events (MACE). In 240 patients with acute-onset chest pain, yet normal electrocardiograms and troponins, a clinically blinded adenosine stress CTP scan was performed in addition to conventional diagnostic evaluation. A reversible perfusion defect (PD) was found in 38 patients (16 %) and during a median follow-up of 19 months (range 12-22 months) 25 patients (10 %) suffered a MACE (cardiac death, non-fatal myocardial infarction and revascularizations). Accuracy for the prediction of MACE expressed as the area under curve (AUC) on receiver-operating characteristic curves was 0.88 (0.83-0.92) for visual assessment of a PD and 0.80 (0.73-0.85) for stress TPR (transmural perfusion ratio). After adjustment for the pretest probability of obstructive coronary artery disease, both detection of a PD and stress TPR were significantly associated with MACE with an adjusted hazard ratio of 39 (95 % confidence interval 11-134), p < 0.0001, for visual interpretation and 0.99 (0.98-0.99) for stress TPR, p < 0.0001. Patients with a PD volume covering >10 % of the LV myocardium had a worse prognosis compared to patients with a PD covering <10 % of the LV myocardium, p = 0.0002. The optimal cut-off value of the myocardial PD extent to predict MACE was 5.3 % of the left ventricle [sensitivity 84 % (64-96), specificity 95 % (91-97)]. Myocardial CT perfusion parameters predict mid-term clinical outcome in patients with recent acute-onset chest pain.

Entities:  

Keywords:  Chest pain; Coronary artery disease; Myocardial CT perfusion; Transmural perfusion ratio

Mesh:

Substances:

Year:  2016        PMID: 27718140     DOI: 10.1007/s10554-016-0994-x

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


  29 in total

1.  Dipyridamole stress and rest transmural myocardial perfusion ratio evaluation by 64 detector-row computed tomography.

Authors:  Roberto C Cury; Tiago A Magalhães; Antonio T Paladino; Afonso A Shiozaki; Marcela Perini; Tiago Senra; Pedro A Lemos; Ricardo C Cury; Carlos E Rochitte
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-11-04

2.  Multidetector computed tomography myocardial perfusion imaging during adenosine stress.

Authors:  Richard T George; Caterina Silva; Marco A S Cordeiro; Anthony DiPaula; Douglas R Thompson; William F McCarthy; Takashi Ichihara; Joao A C Lima; Albert C Lardo
Journal:  J Am Coll Cardiol       Date:  2006-06-21       Impact factor: 24.094

3.  Adenosine stress high-pitch 128-slice dual-source myocardial computed tomography perfusion for imaging of reversible myocardial ischemia: comparison with magnetic resonance imaging.

Authors:  Gudrun Feuchtner; Robert Goetti; André Plass; Monika Wieser; Hans Scheffel; Christophe Wyss; Paul Stolzmann; Olivio Donati; Johannes Schnabl; Volkmar Falk; Hatem Alkadhi; Sebastian Leschka; Ricardo C Cury
Journal:  Circ Cardiovasc Imaging       Date:  2011-08-23       Impact factor: 7.792

4.  Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study.

Authors:  Carlos E Rochitte; Richard T George; Marcus Y Chen; Armin Arbab-Zadeh; Marc Dewey; Julie M Miller; Hiroyuki Niinuma; Kunihiro Yoshioka; Kakuya Kitagawa; Shiro Nakamori; Roger Laham; Andrea L Vavere; Rodrigo J Cerci; Vishal C Mehra; Cesar Nomura; Klaus F Kofoed; Masahiro Jinzaki; Sachio Kuribayashi; Albert de Roos; Michael Laule; Swee Yaw Tan; John Hoe; Narinder Paul; Frank J Rybicki; Jeffery A Brinker; Andrew E Arai; Christopher Cox; Melvin E Clouse; Marcelo F Di Carli; Joao A C Lima
Journal:  Eur Heart J       Date:  2013-11-19       Impact factor: 29.983

5.  The Transmural Extent and Severity of Myocardial Hypoperfusion Predicts Long-Term Outcome in NSTEMI: An MDCT Study.

Authors:  J Tobias Kühl; Jesper J Linde; Lars Køber; Henning Kelbæk; Klaus F Kofoed
Journal:  JACC Cardiovasc Imaging       Date:  2015-05-14

6.  Prognostic value of normal exercise and adenosine (99m)Tc-tetrofosmin SPECT imaging: results from the multicenter registry of 4,728 patients.

Authors:  Leslee J Shaw; Robert Hendel; Salvador Borges-Neto; Michael S Lauer; Naomi Alazraki; Joy Burnette; Elizabeth Krawczynska; Manuel Cerqueira; Jamshid Maddahi
Journal:  J Nucl Med       Date:  2003-02       Impact factor: 10.057

7.  Combined CT coronary angiography and stress myocardial perfusion imaging for hemodynamically significant stenoses in patients with suspected coronary artery disease: a comparison with fractional flow reserve.

Authors:  Brian S Ko; James D Cameron; Michael Leung; Ian T Meredith; Darryl P Leong; Paul R Antonis; Marcus Crossett; John Troupis; Richard Harper; Yuvaraj Malaiapan; Sujith K Seneviratne
Journal:  JACC Cardiovasc Imaging       Date:  2012-11

8.  CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR.

Authors:  Martin Greif; Franz von Ziegler; Fabian Bamberg; Janine Tittus; Florian Schwarz; Melvin D'Anastasi; Roy P Marcus; Jan Schenzle; Christoph Becker; Konstantin Nikolaou; Alexander Becker
Journal:  Heart       Date:  2013-05-14       Impact factor: 5.994

9.  Correlation between coronary computed tomographic angiography and fractional flow reserve.

Authors:  Thomas Skaarup Kristensen; Thomas Engstrøm; Henning Kelbæk; Peter von der Recke; Michael Bachmann Nielsen; Klaus Fuglsang Kofoed
Journal:  Int J Cardiol       Date:  2009-05-09       Impact factor: 4.164

10.  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

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  5 in total

1.  Prognostic Value of Combined CT Angiography and Myocardial Perfusion Imaging versus Invasive Coronary Angiography and Nuclear Stress Perfusion Imaging in the Prediction of Major Adverse Cardiovascular Events: The CORE320 Multicenter Study.

Authors:  Marcus Y Chen; Carlos E Rochitte; Armin Arbab-Zadeh; Marc Dewey; Richard T George; Julie M Miller; Hiroyuki Niinuma; Kunihiro Yoshioka; Kakuya Kitagawa; Hajime Sakuma; Roger Laham; Andrea L Vavere; Rodrigo J Cerci; Vishal C Mehra; Cesar Nomura; Klaus F Kofoed; Masahiro Jinzaki; Sachio Kuribayashi; Arthur J Scholte; Michael Laule; Swee Yaw Tan; John Hoe; Narinder Paul; Frank J Rybicki; Jeffrey A Brinker; Andrew E Arai; Matthew B Matheson; Christopher Cox; Melvin E Clouse; Marcelo F Di Carli; João A C Lima
Journal:  Radiology       Date:  2017-03-14       Impact factor: 11.105

Review 2.  Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography.

Authors:  Filippo Cademartiri; Sara Seitun; Alberto Clemente; Ludovico La Grutta; Patrizia Toia; Giuseppe Runza; Massimo Midiri; Erica Maffei
Journal:  Cardiovasc Diagn Ther       Date:  2017-04

Review 3.  Functional Information in Coronary Artery Disease: The Case of Computed Tomography Myocardial Perfusion.

Authors:  Klaus F Kofoed; Mathias H Sørgaard; Jesper J Linde
Journal:  Curr Cardiol Rep       Date:  2017-10-25       Impact factor: 2.931

4.  Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Johan De Sutter; Paul Schoenhagen; Arthur E Stillman; Nico R L Vande Veire
Journal:  Int J Cardiovasc Imaging       Date:  2017-06       Impact factor: 2.357

Review 5.  CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging.

Authors:  Sara Seitun; Cecilia De Lorenzi; Filippo Cademartiri; Angelo Buscaglia; Nicole Travaglio; Manrico Balbi; Gian Paolo Bezante
Journal:  Biomed Res Int       Date:  2018-10-14       Impact factor: 3.411

  5 in total

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