Literature DB >> 31522312

Quantification of intramyocardial hemorrhage volume using magnetic resonance imaging with three-dimensional T1-weighted sequence in patients with ischemia-reperfusion injury: a semi-automated image processing technique.

Hideo Arai1, Masateru Kawakubo2, Ko Abe1, Hikaru Hatashima3, Kenichi Sanui1, Hiroshi Nishimura1, Toshiaki Kadokami1.   

Abstract

Although intramyocardial hemorrhage (IMH) is a poor prognostic factor caused by ischemia reperfusion injury, little evidence is available regarding the association between IMH volume and biomarkers. In the present study, we measured IMH volume using three-dimensional (3D) T1-weighted magnetic resonance imaging (T1-MRI) and investigated its association with biomarkers. Moreover, the accuracy of semi-automatic measurement of IMH volume was validated. We retrospectively enrolled 33 consecutive patients (mean age 67 ± 11 years) who underwent cardiac MRI after reperfusion therapy for acute myocardial infarction. IMH was observed in 4 patients (12.1%). Receiver operating characteristics (ROC) analysis of creatine kinase (CK) and CK-muscle/brain (CK-MB) tests for detecting IMH were performed. IMH volume measured using semi-automatic methods by a 2 standard deviation (SD) threshold was compared to manual measurements using the Spearman's correlation coefficient (ρ) and Bland-Altman analyses. ROC analysis revealed optimal cutoff values of CK: 2460 IU/l and CK-MB: 231 IU/l (area under the curve: 0.95 and 0.91; sensitivity: 86% and 79%; specificity: 100% for both). IMH volume with the 2SD threshold correlated with that of the manual measurement [5.84 g (3.30 to 9.00) g vs. 8.07 g (5.37 to 9.33); ρ: 0.85, p < 0.01; bias (limit of agreement): - 0.01 g (- 0.51 to 0.49); intraclass correlation coefficients 0.84 (0.75 to 0.90)]. Our findings could help identify the risk of IMH after reperfusion therapy with biomarkers. 3D T1-MRI can semi-automatically provide accurate IMH volume without being time-consuming.

Entities:  

Keywords:  Acute myocardial infarction; Biomarker; Intramyocardial hemorrhage; Magnetic resonance imaging; Quantification; Semi-automated threshold method

Mesh:

Substances:

Year:  2019        PMID: 31522312     DOI: 10.1007/s10554-019-01697-4

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


  26 in total

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Authors:  Aslan T Turer; Joseph A Hill
Journal:  Am J Cardiol       Date:  2010-08-01       Impact factor: 2.778

2.  Magnetic resonance imaging of haemorrhage within reperfused myocardial infarcts: possible interference with iron oxide-labelled cell tracking?

Authors:  Ewout J van den Bos; Timo Baks; Amber D Moelker; Wendy Kerver; Robert-Jan van Geuns; Willem J van der Giessen; Dirk J Duncker; Piotr A Wielopolski
Journal:  Eur Heart J       Date:  2006-06-02       Impact factor: 29.983

3.  Reperfusion haemorrhage as determined by cardiovascular MRI is a predictor of adverse left ventricular remodelling and markers of late arrhythmic risk.

Authors:  Adam N Mather; Timothy A Fairbairn; Stephen G Ball; John P Greenwood; Sven Plein
Journal:  Heart       Date:  2010-11-04       Impact factor: 5.994

Review 4.  Laboratory diagnosis of patients with acute chest pain.

Authors:  I Penttilä; K Penttilä; T Rantanen
Journal:  Clin Chem Lab Med       Date:  2000-03       Impact factor: 3.694

5.  The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction.

Authors:  R J Kim; E Wu; A Rafael; E L Chen; M A Parker; O Simonetti; F J Klocke; R O Bonow; R M Judd
Journal:  N Engl J Med       Date:  2000-11-16       Impact factor: 91.245

Review 6.  Myocardial no-reflow in humans.

Authors:  Giampaolo Niccoli; Francesco Burzotta; Leonarda Galiuto; Filippo Crea
Journal:  J Am Coll Cardiol       Date:  2009-07-21       Impact factor: 24.094

7.  Clinical importance of microvascular obstruction on contrast-enhanced MRI in reperfused acute myocardial infarction.

Authors:  Michinobu Nagao; Hiroshi Higashino; Hiroshi Matsuoka; Hideo Kawakami; Teruhito Mochizuki; Kenya Murase; Masahiko Uemura; Tamami Kouno
Journal:  Circ J       Date:  2008-02       Impact factor: 2.993

8.  Quantification of infarct size and myocardium at risk: evaluation of different techniques and its implications.

Authors:  Elisa McAlindon; Maria Pufulete; Chris Lawton; Gianni D Angelini; Chiara Bucciarelli-Ducci
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-03-02       Impact factor: 6.875

9.  Residual Myocardial Iron Following Intramyocardial Hemorrhage During the Convalescent Phase of Reperfused ST-Segment-Elevation Myocardial Infarction and Adverse Left Ventricular Remodeling.

Authors:  Heerajnarain Bulluck; Stefania Rosmini; Amna Abdel-Gadir; Steven K White; Anish N Bhuva; Thomas A Treibel; Marianna Fontana; Manish Ramlall; Ashraf Hamarneh; Alex Sirker; Anna S Herrey; Charlotte Manisty; Derek M Yellon; Peter Kellman; James C Moon; Derek J Hausenloy
Journal:  Circ Cardiovasc Imaging       Date:  2016-10       Impact factor: 7.792

10.  Correction with blood T1 is essential when measuring post-contrast myocardial T1 value in patients with acute myocardial infarction.

Authors:  Eui-Young Choi; Sung Ho Hwang; Young Won Yoon; Chul Hwan Park; Mun Young Paek; Andreas Greiser; Hyemoon Chung; Ji-Hyun Yoon; Jong-Youn Kim; Pil-Ki Min; Byoung Kwon Lee; Bum-Kee Hong; Se-Joong Rim; Hyuck Moon Kwon; Tae Hoon Kim
Journal:  J Cardiovasc Magn Reson       Date:  2013-01-19       Impact factor: 5.364

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