INTRODUCTION: A substantial, common shortcoming of the currently used semiautomated techniques for the quantification of myocardial infarct with delayed enhancement magnetic resonance imaging is the assumption that the whole myocardial slab that corresponds to the hyperenhanced tomographic area is 100% nonviable. This assumption is, however, incorrect. To resolve this conflict, we have recently proposed the signal intensity percent-infarct mapping method and validated it in an ex vivo, canine experiment. The purpose of the current study has been the validation of the signal intensity percent-infarct mapping method in vivo, using a porcine model of reperfused myocardial infarct. METHODS: In swines (n=6), reperfused myocardial infarct was generated occluding for 90 min by an angioplasty balloon either the left anterior descending or the left circumflex coronary artery. To obtain DE images, Gd(DTPA) enhanced inversion-recovery fast gradient-echo acquisitions were carried out on day 28 after myocardial infarction. Scanning started 15 min after intravenous injection of 0.2 mmol/kg Gd(DTPA). At the end of the MRI session, the animal was sacrificed and 2,3,5-triphenyltetrazolium chloride staining was used to validate the existence and to determine the accurate size of the myocardial infarct. Tissue samples were taken and stained with hematoxylin-eosin and Masson's trichrome for histological assessment of the infarct and the periinfarct zone. The signal intensity percent-infarct mapping data were compared with corresponding data from the delayed enhancement images analyzed with SI(remote+2S.D.) thresholding, and with corresponding triphenyltetrazolium-chloride staining data using Friedman's repeated measure analysis of variance on ranks. RESULTS: The infarct volume determined by the triphenyltetrazolium chloride, SI(remote+2S.D.) and signal intensity percent-infarct mapping methods was 3.04 ml [2.74, 3.45], 13.62 ml [9.06, 18.45] and 4.27 ml [3.45, 6.33], respectively. Median infarct volume determined by SI(remote+2S.D.) significantly differed from that determined by triphenyltetrazolium chloride (P<.05). The Bland-Altman overall bias was 12.49% of the volume of the left ventricle. Median infarct volume determined by signal intensity percent-infarct mapping, however, did not differ significantly (NS) from that obtained by triphenyltetrazolium chloride. Signal intensity percent-infarct mapping yielded only a 1.99% Bland-Altman overall bias of the left ventricular volume. CONCLUSIONS: This in vivo study in the porcine reperfused myocardial infarct model demonstrates that signal intensity percent-infarct mapping is a highly accurate method for the determination of the extent of myocardial infarct. MRI images for signal intensity percent-infarct mapping are obtained with the pulse sequence of conventional delayed enhancement imaging and are acquired within clinically acceptable scanning time. This makes signal intensity percent-infarct mapping a practical method for clinical implementation.
INTRODUCTION: A substantial, common shortcoming of the currently used semiautomated techniques for the quantification of myocardial infarct with delayed enhancement magnetic resonance imaging is the assumption that the whole myocardial slab that corresponds to the hyperenhanced tomographic area is 100% nonviable. This assumption is, however, incorrect. To resolve this conflict, we have recently proposed the signal intensity percent-infarct mapping method and validated it in an ex vivo, canine experiment. The purpose of the current study has been the validation of the signal intensity percent-infarct mapping method in vivo, using a porcine model of reperfused myocardial infarct. METHODS: In swines (n=6), reperfused myocardial infarct was generated occluding for 90 min by an angioplasty balloon either the left anterior descending or the left circumflex coronary artery. To obtain DE images, Gd(DTPA) enhanced inversion-recovery fast gradient-echo acquisitions were carried out on day 28 after myocardial infarction. Scanning started 15 min after intravenous injection of 0.2 mmol/kg Gd(DTPA). At the end of the MRI session, the animal was sacrificed and 2,3,5-triphenyltetrazolium chloride staining was used to validate the existence and to determine the accurate size of the myocardial infarct. Tissue samples were taken and stained with hematoxylin-eosin and Masson's trichrome for histological assessment of the infarct and the periinfarct zone. The signal intensity percent-infarct mapping data were compared with corresponding data from the delayed enhancement images analyzed with SI(remote+2S.D.) thresholding, and with corresponding triphenyltetrazolium-chloride staining data using Friedman's repeated measure analysis of variance on ranks. RESULTS: The infarct volume determined by the triphenyltetrazolium chloride, SI(remote+2S.D.) and signal intensity percent-infarct mapping methods was 3.04 ml [2.74, 3.45], 13.62 ml [9.06, 18.45] and 4.27 ml [3.45, 6.33], respectively. Median infarct volume determined by SI(remote+2S.D.) significantly differed from that determined by triphenyltetrazolium chloride (P<.05). The Bland-Altman overall bias was 12.49% of the volume of the left ventricle. Median infarct volume determined by signal intensity percent-infarct mapping, however, did not differ significantly (NS) from that obtained by triphenyltetrazolium chloride. Signal intensity percent-infarct mapping yielded only a 1.99% Bland-Altman overall bias of the left ventricular volume. CONCLUSIONS: This in vivo study in the porcine reperfused myocardial infarct model demonstrates that signal intensity percent-infarct mapping is a highly accurate method for the determination of the extent of myocardial infarct. MRI images for signal intensity percent-infarct mapping are obtained with the pulse sequence of conventional delayed enhancement imaging and are acquired within clinically acceptable scanning time. This makes signal intensity percent-infarct mapping a practical method for clinical implementation.
Authors: Balázs Ruzsics; Pál Surányi; Pál Kiss; Brigitta C Brott; Ada Elgavish; Nada H Saab-Ismail; Tamás Simor; Gabriel A Elgavish Journal: Pharmacology Date: 2006-07-27 Impact factor: 2.547
Authors: Pál Surányi; Pál Kiss; Brigitta C Brott; Tamás Simor; Ada Elgavish; Balázs Ruzsics; Nada H Saab-Ismail; Gabriel A Elgavish Journal: Magn Reson Med Date: 2006-09 Impact factor: 4.668
Authors: Olga Bondarenko; Aernout M Beek; Mark B M Hofman; Harald P Kühl; Jos W R Twisk; Willem G van Dockum; Cees A Visser; Albert C van Rossum Journal: J Cardiovasc Magn Reson Date: 2005 Impact factor: 5.364
Authors: Li-Yueh Hsu; Alex Natanzon; Peter Kellman; Glenn A Hirsch; Anthony H Aletras; Andrew E Arai Journal: J Magn Reson Imaging Date: 2006-03 Impact factor: 4.813
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
Authors: Hiroshi Ashikaga; Tetsuo Sasano; Jun Dong; M Muz Zviman; Robert Evers; Bruce Hopenfeld; Valeria Castro; Robert H Helm; Timm Dickfeld; Saman Nazarian; J Kevin Donahue; Ronald D Berger; Hugh Calkins; M Roselle Abraham; Eduardo Marbán; Albert C Lardo; Elliot R McVeigh; Henry R Halperin Journal: Circ Res Date: 2007-10-04 Impact factor: 17.367
Authors: Wayne Rosamond; Katherine Flegal; Karen Furie; Alan Go; Kurt Greenlund; Nancy Haase; Susan M Hailpern; Michael Ho; Virginia Howard; Brett Kissela; Bret Kissela; Steven Kittner; Donald Lloyd-Jones; Mary McDermott; James Meigs; Claudia Moy; Graham Nichol; Christopher O'Donnell; Veronique Roger; Paul Sorlie; Julia Steinberger; Thomas Thom; Matt Wilson; Yuling Hong Journal: Circulation Date: 2007-12-17 Impact factor: 29.690
Authors: Aernout M Beek; Olga Bondarenko; Farshid Afsharzada; Albert C van Rossum Journal: J Cardiovasc Magn Reson Date: 2009-03-09 Impact factor: 5.364
Authors: Pál Surányi; Pál Kiss; Balazs Ruzsics; Brigitta C Brott; Tamás Simor; Ada Elgavish; Robert A Baker; Nada H Saab-Ismail; Gabriel A Elgavish Journal: Magn Reson Med Date: 2007-07 Impact factor: 3.737
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
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