Literature DB >> 21394767

Assessment of tissue edema in patients with acute myocardial infarction by computer-assisted quantification of triple inversion recovery prepared MRI of the myocardium.

R I Johnstone1, J P Greenwood, J D Biglands, S Plein, J P Ridgway, A Radjenovic.   

Abstract

The aim of this study was to design a computer algorithm to assess the extent of cardiac edema from triple inversion recovery MR images of the human left ventricular myocardium. Twenty-one patients presenting with acute myocardial infarction were scanned within 48 h of the onset of symptoms. Eight patients were scanned a second time, 4 weeks after the initial event. Myocardial edema was detected in 27 of 29 studies using visual contour-based manual segmentation. A reference standard, created from the segmentations of three raters by voxel-wise majority voting, was compared to the edema mass estimates obtained using a newly developed computer algorithm. At baseline (n=20), the reference standard yielded an edema mass of 16.4±15.0 g (mean±SD) and the computer algorithm edema mass was 16.4±12.6 g. At follow-up (n=7), the reference standard edema mass was 7.1±4.4 g compared to 16.3±7.7 g at baseline. Computer algorithm estimates showed the same pattern of change with 5.7±5.7 g at follow-up compared to 20.8±13.8 g at baseline. Although there was a significant degree of discrepancy between reference standard and computer algorithm estimates of edema mass in individual patients, their overall agreement was good, with intraclass correlation coefficient ICC(3, 1)=0.753.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21394767     DOI: 10.1002/mrm.22812

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  5 in total

1.  Semi-automatic segmentation of myocardium at risk in T2-weighted cardiovascular magnetic resonance.

Authors:  Jane Sjögren; Joey F A Ubachs; Henrik Engblom; Marcus Carlsson; Håkan Arheden; Einar Heiberg
Journal:  J Cardiovasc Magn Reson       Date:  2012-01-31       Impact factor: 5.364

Review 2.  Clinical Importance of Myocardial T2 Mapping and Texture Analysis.

Authors:  Yasuo Amano; Yuko Omori; Chisato Ando; Fumi Yanagisawa; Yasuyuki Suzuki; Xiaoyan Tang; Hiroko Kobayashi; Ryo Takagi; Naoya Matsumoto
Journal:  Magn Reson Med Sci       Date:  2020-05-11       Impact factor: 2.471

3.  Highly automatic quantification of myocardial oedema in patients with acute myocardial infarction using bright blood T2-weighted CMR.

Authors:  Hao Gao; Kushsairy Kadir; Alexander R Payne; John Soraghan; Colin Berry
Journal:  J Cardiovasc Magn Reson       Date:  2013-03-30       Impact factor: 5.364

4.  Comparison of semi-automated methods to quantify infarct size and area at risk by cardiovascular magnetic resonance imaging at 1.5T and 3.0T field strengths.

Authors:  Jamal N Khan; Sheraz A Nazir; Mark A Horsfield; Anvesha Singh; Prathap Kanagala; John P Greenwood; Anthony H Gershlick; Gerry P McCann
Journal:  BMC Res Notes       Date:  2015-02-25

5.  Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: validation against expert readers and SPECT.

Authors:  Jane Tufvesson; Marcus Carlsson; Anthony H Aletras; Henrik Engblom; Jean-François Deux; Sasha Koul; Peder Sörensson; John Pernow; Dan Atar; David Erlinge; Håkan Arheden; Einar Heiberg
Journal:  BMC Med Imaging       Date:  2016-03-05       Impact factor: 1.930

  5 in total

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