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The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry

机译:非缺血性纤维化质地和密度对再入式机制的影响

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Patients who present with non-ischemic dilated cardiomyopathy and enhancement on late gadolinium magnetic resonance imaging (LGE-CMR), are at high risk of sudden cardiac death. Further risk stratification of these patients based on LGE-CMR may be improved through better understanding of fibrosis micro-structure. Our aim is to examine variations in fibrosis micro-structure based on LGE imaging, and quantify the effect on reentry in-ducibility. 2D Computational models were created from a single short axis LGE-CMR image, with variations in fibrosis type (interstitial, replacement) and density. For each fibrosis-type density combination 10 different models were created, each representing a separate random realization. In total 200 models were tested. Reentry inducibility showed a dependence on fibrosis type and density as well as on the specific random realization of the type-density combination.
机译:患有非缺血扩张的心肌病和晚期钆磁共振成像(LGE-CMR)的患者处于突然心脏死亡的风险。通过更好地理解纤维化微结构,可以提高基于LGE-CMR的这些患者的进一步风险分层。我们的目的是研究基于LGE成像的纤维化微结构的变化,并量化对含有含量的反光含量的影响。 2D计算模型从单个短轴LGE-CMR图像创建,具有纤维化类型(间隙,更换)和密度的变化。对于每个纤维化型密度组合,创建了10种不同的模型,每个模型都表示单独的随机实现。总共测试了200种型号。再入诱导性表现出对纤维化类型和密度以及类型密度组合的特定随机实现的依赖性。

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