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

Akos Varga-Szemes, T. Símor, Zsofia Lenkey, Rob J. Van Der Geest, Robert Kirschner, Levente Toth, Brigitta C. Brott, Ada Elgavish, Gabriel A. Elgavish

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

To study the feasibility of a myocardial infarct (MI) quantification method [signal intensity-based percent infarct mapping (SI-PIM)] that is able to evaluate not only the size, but also the density distribution of the MI. In 14 male swine, MI was generated by 90 min of closed-chest balloon occlusion followed by reperfusion. Seven (n = 7) or 56 (n = 7) days after reperfusion, Gd-DTPA-bolus and con-tinuous- infusion enhanced late gadolinium enhancement (LGE) MRI, and R1-mapping were carried out and post mortem triphenyl- tetrazolium-chloride (TTC) staining was performed. MI was quantified using binary [2 or 5 standard deviation (SD)], SI-PIM and R1-PIM methods. Infarct fraction (IF), and infarct-involved voxel fraction (IIVF) were determined by each MRI method. Bias of each method was compared to the TTC technique. The accuracy of MI quantification did not depend on the method of contrast administration or the age of the MI. IFs obtained by either of the two PIM methods were statistically not different from the IFs derived from the TTC measurements at either MI age. IFs obtained from the binary 2SD method overestimated IF obtained from TTC. IIVF among the three different PIM methods did not vary, but with the binary methods the IIVF gradually decreased with increasing the threshold limit. The advantage of SI-PIM over the conventional binary method is the ability to represent not only IF but also the density distribution of the MI. Since the SI-PIM methods are based on a single LGE acquisition, the bolus-data-based SI-PIM method can effortlessly be incorporated into the clinical image post-processing procedure.

Original languageEnglish
Pages (from-to)937-948
Number of pages12
JournalInternational Journal of Cardiovascular Imaging
Volume30
Issue number5
DOIs
Publication statusPublished - 2014

Fingerprint

Swine
Myocardial Infarction
Chlorides
Gadolinium
Reperfusion
Balloon Occlusion
Gadolinium DTPA
Feasibility Studies
Thorax
Staining and Labeling

Keywords

  • Magnetic resonance imaging
  • Myocardial infarct heterogeneity
  • Myocardial infarct quantification
  • Percent infarct mapping

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine
  • Medicine(all)

Cite this

Infarct density distribution by MRI in the porcine model of acute and chronic myocardial infarction as a potential method transferable to the clinic. / Varga-Szemes, Akos; Símor, T.; Lenkey, Zsofia; Van Der Geest, Rob J.; Kirschner, Robert; Toth, Levente; Brott, Brigitta C.; Elgavish, Ada; Elgavish, Gabriel A.

In: International Journal of Cardiovascular Imaging, Vol. 30, No. 5, 2014, p. 937-948.

Research output: Contribution to journalArticle

Varga-Szemes, Akos ; Símor, T. ; Lenkey, Zsofia ; Van Der Geest, Rob J. ; Kirschner, Robert ; Toth, Levente ; Brott, Brigitta C. ; Elgavish, Ada ; Elgavish, Gabriel A. / Infarct density distribution by MRI in the porcine model of acute and chronic myocardial infarction as a potential method transferable to the clinic. In: International Journal of Cardiovascular Imaging. 2014 ; Vol. 30, No. 5. pp. 937-948.
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AU - Símor, T.

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AU - Van Der Geest, Rob J.

AU - Kirschner, Robert

AU - Toth, Levente

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