Late gadolinium-enhancement cardiac magnetic resonance identifies postinfarction myocardial fibrosis and the border zone at the near cellular level in ex vivo rat heart.
Late gadolinium-enhancement cardiac magnetic resonance identifies postinfarction myocardial fibrosis and the border zone at the near cellular level in ex vivo rat heart.
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DOI:
10.1161/circimaging.108.835793
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发表时间:
2010-11
期刊:
影响因子:
--
通讯作者:
Arai AE
中科院分区:
文献类型:
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作者:
Schelbert EB;Hsu LY;Anderson SA;Mohanty BD;Karim SM;Kellman P;Aletras AH;Arai AE
Using a resolution 1000 fold higher than prior studies, we studied 1) the degree to which late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) tracks fibrosis from chronic myocardial infarction (MI); and 2) the relationship between intermediate signal intensity and partial volume averaging at distinct “smooth” infarct borders versus disorganized mixtures of fibrosis and viable cardiomyocytes. Sprague Dawley rats underwent MI by coronary ligation. Two months later rats were euthanized 10 minutes after administration of 0.3 mmol/kg intravenous gadolinium. LGE images ex vivo at 7 Tesla with a 3D gradient echo sequence with 50x50x50 micron voxels were compared with histologic sections (Masson’s trichrome). Planimetered histologic and LGE regions of fibrosis correlated well (y = 1.01x – 0.01; R2=0.96; p<0.001). In addition, LGE images routinely detected clefts of viable cardiomyocytes 2–4 cells thick that separated bands of fibrous tissue. While LGE clearly detected disorganized mixtures of fibrosis and viable cardiomyocytes characterized by intermediate signal intensity voxels, the percentage of apparent intermediate signal intensity myocardium increased significantly (p<0.01) when image resolution was degraded to resemble clinical resolution consistent with significant partial volume averaging. These data provide important validation of LGE at nearly the cellular level for detection of fibrosis after MI. While LGE can detect heterogeneous patches of fibrosis and viable cardiomyocytes as patches of intermediate signal intensity, the percentage of intermediate signal intensity voxels is resolution dependent. Thus, at clinical resolutions, distinguishing the peri-infarct border zone from partial volume averaging with LGE is challenging.