Suppr超能文献

亚急性梗死心肌的自动多排计算机断层扫描评估

Automated multidetector computed tomography evaluation of subacutely infarcted myocardium.

作者信息

Ruzsics Balázs, Surányi Pál, Kiss Pál, Brott Brigitta C, Singh Satinder S, Litovsky Silvio, Aban Inmaculada, Lloyd Steven G, Simor Tamas, Elgavish Gabriel A, Gupta Himanshu

机构信息

Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

出版信息

J Cardiovasc Comput Tomogr. 2008 Jan;2(1):26-32. doi: 10.1016/j.jcct.2007.11.003. Epub 2007 Nov 19.

Abstract

BACKGROUND

Delayed enhanced (DE) multidetector computed tomography (MDCT) can identify acute and chronic myocardial infarct. To our knowledge, automated techniques for infarct quantification on DE-MDCT have not been used.

OBJECTIVE

We evaluated an automated signal intensity (SI) threshold method for quantification of subacute myocardial infarct and identified and quantified microvascular obstruction (MO) in subacute infarct.

METHODS

DE-MDCT imaging was performed on 5 pigs 6-7 days after mid left anterior descending artery occlusion-reperfusion. DE-MDCT images were compared with triphenyl tetrazolium chloride (TTC) staining for infarct quantification and with hematoxylin and eosin (H&E) staining for MO quantification. Pixels with SI more than the mean SI of a remote normal myocardial region (SI(remote)) plus 2 times the standard deviation (SI(remote) + 2 SD) value were considered infarct pixels. The ratio of infarct to total area of a given slice, the percentage of infarct area per slice (PIS), was calculated. MO as a percentage of total infarct area was also calculated.

RESULTS

The average density values on DE-MDCT (5 minutes after contrast injection) were remote normal myocardium of 93 +/- 19 Hounsfield units (HU), infarct myocardium of 159 +/- 40 HU, blood of 140 +/- 26 HU, and MO of 85 +/- 30 HU. PIS(MDCT) showed substantial agreement with PIS(TTC) (y = 1.003x + 4.12; R = 0.90, P < 0.05). A relation was also shown between MO determined by MDCT compared with H&E staining (y = 0.74x + 3.4).

CONCLUSIONS

We show the feasibility of using a semiautomated SI threshold technique for quantification of subacute myocardial infarct. We also show the persistent MO in subacute myocardial infarct on DE-MDCT images.

摘要

背景

延迟增强(DE)多层螺旋计算机断层扫描(MDCT)能够识别急性和慢性心肌梗死。据我们所知,尚未有用于DE-MDCT梗死定量分析的自动化技术。

目的

我们评估了一种用于亚急性心肌梗死定量分析的自动信号强度(SI)阈值方法,并识别和定量亚急性梗死中的微血管阻塞(MO)。

方法

在5头猪左前降支动脉闭塞-再灌注6-7天后进行DE-MDCT成像。将DE-MDCT图像与三苯基四氮唑氯化物(TTC)染色进行梗死定量比较,并与苏木精和伊红(H&E)染色进行MO定量比较。SI超过远隔正常心肌区域平均SI(SI(远隔))加2倍标准差(SI(远隔)+2SD)值的像素被视为梗死像素。计算给定切片梗死面积与总面积的比值,即每切片梗死面积百分比(PIS)。还计算了MO占总梗死面积的百分比。

结果

DE-MDCT(注射造影剂5分钟后)的平均密度值为:远隔正常心肌93±19亨氏单位(HU),梗死心肌159±40HU,血液140±26HU,MO为85±30HU。PIS(MDCT)与PIS(TTC)显示出高度一致性(y = 1.003x + 4.12;R = 0.90,P < 0.05)。MDCT测定的MO与H&E染色之间也显示出相关性(y = 0.74x + 3.4)。

结论

我们证明了使用半自动SI阈值技术定量亚急性心肌梗死的可行性。我们还在DE-MDCT图像上显示了亚急性心肌梗死中持续存在的MO。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验