Literature DB >> 20882616

Percent infarct mapping for delayed contrast enhancement magnetic resonance imaging to quantify myocardial viability by Gd(DTPA).

Tamás Simor1, Pál Surányi, Balázs Ruzsics, Attila Tóth, Levente Tóth, Pál Kiss, Brigitta C Brott, Akos Varga-Szemes, Ada Elgavish, Gabriel A Elgavish.   

Abstract

PURPOSE: To demonstrate the advantages of signal intensity percent-infarct-mapping (SI-PIM) using the standard delayed enhancement (DE) acquisition in assessing viability following myocardial infarction (MI). SI-PIM quantifies MI density with a voxel-by-voxel resolution in clinically used DE images.
MATERIALS AND METHODS: In canines (n= 6), 96 hours after reperfused MI and administration of 0.2 mmol/kg Gd(DTPA), ex vivo DE images were acquired and SI-PIMs calculated. SI-PIM data were compared with data from DE images analyzed with several thresholding levels using SI(remote+2SD), SI(remote+6SD), SI full width half maximum (SI(FWHM)), and with triphenyl-tetrazolium-chloride (TTC) staining. SI-PIM was also compared to R1 percent infarct mapping (R1-PIM).
RESULTS: Left ventricular infarct volumes (IV) in DE images, IV(SIremote+2SD) and IV(SIremote+6SD), overestimated (P < 0.05) TTC by medians of 13.21 mL [10.2; 15.2] and 6.2 mL [3.79; 8.23], respectively. SI(FWHM), SI-PIM, and R1-PIM, however, only nonsignificantly underestimated TTC, by medians of -0.10 mL [-0.12, -0.06], -0.86 mL [-1.04; 1.54], and -1.30 mL [-4.99; -0.29], respectively. The infarct-involved voxel volume (IIVV) of SI-PIM, 32.4 mL [21.2, 46.3] is higher (P < 0.01) than IIVVs of SI(FWHM) 8.3 mL [3.79, 19.0]. SI-PIM(FWHM), however, underestimates TTC (-5.74 mL [-11.89; -2.52] (P < 0.01)). Thus, SI-PIM outperforms SI(FWHM) because larger IIVVs are obtained, and thus PIs both in the rim and the core of the infarcted tissue are characterized, in contradistinction from DE-SI(FWHM), which shows mainly the infarct core.
CONCLUSION: We have shown here, ex vivo, that SI-PIM has the same advantages as R1-PIM, but it is based on the scanning sequences of DE imaging, and thus it is obtainable within the same short scanning time as DE. This makes it a practical method for clinical studies.

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Year:  2010        PMID: 20882616      PMCID: PMC2953380          DOI: 10.1002/jmri.22296

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  26 in total

1.  Contrast-enhanced magnetic resonance imaging of myocardium at risk: distinction between reversible and irreversible injury throughout infarct healing.

Authors:  D S Fieno; R J Kim; E L Chen; J W Lomasney; F J Klocke; R M Judd
Journal:  J Am Coll Cardiol       Date:  2000-11-15       Impact factor: 24.094

2.  An improved MR imaging technique for the visualization of myocardial infarction.

Authors:  O P Simonetti; R J Kim; D S Fieno; H B Hillenbrand; E Wu; J M Bundy; J P Finn; R M Judd
Journal:  Radiology       Date:  2001-01       Impact factor: 11.105

3.  Imaging time after Gd-DTPA injection is critical in using delayed enhancement to determine infarct size accurately with magnetic resonance imaging.

Authors:  J N Oshinski; Z Yang; J R Jones; J F Mata; B A French
Journal:  Circulation       Date:  2001-12-04       Impact factor: 29.690

4.  Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function.

Authors:  R J Kim; D S Fieno; T B Parrish; K Harris; E L Chen; O Simonetti; J Bundy; J P Finn; F J Klocke; R M Judd
Journal:  Circulation       Date:  1999-11-09       Impact factor: 29.690

5.  Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction.

Authors:  André Schmidt; Clerio F Azevedo; Alan Cheng; Sandeep N Gupta; David A Bluemke; Thomas K Foo; Gary Gerstenblith; Robert G Weiss; Eduardo Marbán; Gordon F Tomaselli; João A C Lima; Katherine C Wu
Journal:  Circulation       Date:  2007-03-26       Impact factor: 29.690

6.  Magnetic resonance characterization of the peri-infarction zone of reperfused myocardial infarction with necrosis-specific and extracellular nonspecific contrast media.

Authors:  M Saeed; G Lund; M F Wendland; J Bremerich; H Weinmann; C B Higgins
Journal:  Circulation       Date:  2001-02-13       Impact factor: 29.690

7.  An automated quantification of the transmural myocardial infarct extent using cardiac DE-MR images.

Authors:  R Berbari; N Kachenoura; F Frouin; A Herment; E Mousseaux; I Bloch
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  Characterization of peri-infarct zone heterogeneity by contrast-enhanced multidetector computed tomography: a comparison with magnetic resonance imaging.

Authors:  Karl H Schuleri; Marco Centola; Richard T George; Luciano C Amado; Kristine S Evers; Kakuya Kitagawa; Andrea L Vavere; Robert Evers; Joshua M Hare; Christopher Cox; Elliot R McVeigh; João A C Lima; Albert C Lardo
Journal:  J Am Coll Cardiol       Date:  2009-05-05       Impact factor: 24.094

9.  Head-to-head comparison between delayed enhancement and percent infarct mapping for assessment of myocardial infarct size in a canine model.

Authors:  Balázs Ruzsics; Pál Surányi; Pál Kiss; Brigitta C Brott; Ada Elgavish; Tamas Simor; Gabriel A Elgavish
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

10.  Accuracy of contrast-enhanced magnetic resonance imaging in predicting improvement of regional myocardial function in patients after acute myocardial infarction.

Authors:  Bernhard L Gerber; Jérôme Garot; David A Bluemke; Kathérine C Wu; João A C Lima
Journal:  Circulation       Date:  2002-08-27       Impact factor: 29.690

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  5 in total

1.  Determination of infarct size in ex vivo swine hearts by multidetector computed tomography using gadolinium as contrast medium.

Authors:  Akos Varga-Szemes; Balazs Ruzsics; Robert Kirschner; Satinder P Singh; Pal Kiss; Brigitta C Brott; Tamas Simor; Ada Elgavish; Gabriel A Elgavish
Journal:  Invest Radiol       Date:  2012-05       Impact factor: 6.016

2.  Age-independent myocardial infarct quantification by signal intensity percent infarct mapping in swine.

Authors:  Zsofia Lenkey; Akos Varga-Szemes; Tamas Simor; Rob J van der Geest; Robert Kirschner; Levente Toth; Tamas Bodnar; Brigitta C Brott; Ada Elgavish; Gabriel A Elgavish
Journal:  J Magn Reson Imaging       Date:  2015-09-10       Impact factor: 4.813

3.  Infarct density distribution by MRI in the porcine model of acute and chronic myocardial infarction as a potential method transferable to the clinic.

Authors:  Akos Varga-Szemes; Tamas Simor; Zsofia Lenkey; Rob J van der Geest; Robert Kirschner; Levente Toth; Brigitta C Brott; Ada Elgavish; Gabriel A Elgavish
Journal:  Int J Cardiovasc Imaging       Date:  2014-04-10       Impact factor: 2.357

4.  Quantification of myocardial viability distribution with Gd(DTPA) bolus-enhanced, signal intensity-based percent infarct mapping.

Authors:  Robert Kirschner; Akos Varga-Szemes; Brigitta C Brott; Silvio Litovsky; Ada Elgavish; Gabriel A Elgavish; Tamas Simor
Journal:  Magn Reson Imaging       Date:  2011-05-05       Impact factor: 2.546

5.  Cardiac computed tomographic imaging to evaluate myocardial scarring/fibrosis in patients with hypertrophic cardiomyopathy: a comparison with cardiac magnetic resonance imaging.

Authors:  Jennifer I Berliner; Aya Kino; James C Carr; Robert O Bonow; Lubna Choudhury
Journal:  Int J Cardiovasc Imaging       Date:  2012-04-25       Impact factor: 2.357

  5 in total

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