PMID- 24718787
OWN - NLM
STAT- MEDLINE
DCOM- 20150106
LR  - 20220317
IS  - 1875-8312 (Electronic)
IS  - 1569-5794 (Print)
IS  - 1569-5794 (Linking)
VI  - 30
IP  - 5
DP  - 2014 Jun
TI  - Infarct density distribution by MRI in the porcine model of acute and chronic 
      myocardial infarction as a potential method transferable to the clinic.
PG  - 937-48
LID - 10.1007/s10554-014-0408-x [doi]
AB  - 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 continuous-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.
FAU - Varga-Szemes, Akos
AU  - Varga-Szemes A
AD  - Department of Biochemistry and Molecular Genetics, University of Alabama at 
      Birmingham, MCLM 556, Birmingham, AL, 35294-0005, USA.
FAU - Simor, Tamas
AU  - Simor T
FAU - Lenkey, Zsofia
AU  - Lenkey Z
FAU - van der Geest, Rob J
AU  - van der Geest RJ
FAU - Kirschner, Robert
AU  - Kirschner R
FAU - Toth, Levente
AU  - Toth L
FAU - Brott, Brigitta C
AU  - Brott BC
FAU - Elgavish, Ada
AU  - Elgavish A
FAU - Elgavish, Gabriel A
AU  - Elgavish GA
LA  - eng
GR  - R42 HL080886/HL/NHLBI NIH HHS/United States
GR  - R42 HL084844/HL/NHLBI NIH HHS/United States
GR  - 5R42 HL080886/HL/NHLBI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20140410
PL  - United States
TA  - Int J Cardiovasc Imaging
JT  - The international journal of cardiovascular imaging
JID - 100969716
RN  - 0 (Contrast Media)
RN  - K2I13DR72L (Gadolinium DTPA)
SB  - IM
MH  - Animals
MH  - Contrast Media
MH  - Disease Models, Animal
MH  - Gadolinium DTPA
MH  - Image Processing, Computer-Assisted
MH  - Magnetic Resonance Imaging/*methods
MH  - Male
MH  - Myocardial Infarction/*pathology
MH  - Random Allocation
MH  - Staining and Labeling
MH  - Swine
PMC - PMC4144864
MID - NIHMS584535
COIS- Conflict of interest: AVS and ZL are employees, RK and LT were employees, TS is 
      consultant, and AE and GAE are officers and consultants, of Elgavish 
      Paramagnetics Inc.
EDAT- 2014/04/11 06:00
MHDA- 2015/01/07 06:00
PMCR- 2015/06/01
CRDT- 2014/04/11 06:00
PHST- 2013/12/11 00:00 [received]
PHST- 2014/03/20 00:00 [accepted]
PHST- 2014/04/11 06:00 [entrez]
PHST- 2014/04/11 06:00 [pubmed]
PHST- 2015/01/07 06:00 [medline]
PHST- 2015/06/01 00:00 [pmc-release]
AID - 10.1007/s10554-014-0408-x [doi]
PST - ppublish
SO  - Int J Cardiovasc Imaging. 2014 Jun;30(5):937-48. doi: 10.1007/s10554-014-0408-x. 
      Epub 2014 Apr 10.