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Estimation of right ventricular volume, quantitative assessment of wall motion and trabeculae mass in arrhythmogenic right ventricular dysplasia

机译:估算心律失常性右心室发育不良的右心室容积,定量评估壁运动和小梁质量

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The aim of this study was to gain a wide perspective of the arrhythmogenic right ventricular dysplasia (ARVD) by developing algorithms for Cardiac Magnetic Resonance Imaging. We developed a semi-automatic procedure to assess the Right Ventricle (RV) volumes and to quantify RV wall motion; moreover, with the increased visible details in a single MR image, a manual method to evaluate the trabeculae mass was performed. All the algorithms used were based on the level set theory which allows detecting both endocardial and wall surfaces, as well as the black parts characterizing the trabeculae. 6 normal subjects and 6 subjects with ARVD have been investigated. Our method and the standard manual method for volume estimation were significantly correlated (y=0.92×+6.56), (r=0.92 p<;0.001). Wall Motion results showed a significant reduction of RV segmental function in patients with ARVD, Inferior Wall was the most involved with more than 80% reduction (p<;0.001) compared with normal subjects, while RV outflow tract (RVOT) was the least involved with less than 50% reduction (p<;0.001) compared to normal subjects. A repeatability test was executed on trabeculae mass assessment, which showed a high intra observer correlation, in fact the results were significant at 95% of the cases.
机译:这项研究的目的是通过开发用于心脏磁共振成像的算法来获得导致心律失常的右心室发育不良(ARVD)的广阔视野。我们开发了一种半自动程序来评估右心室(RV)的体积并量化RV壁的运动。此外,随着单个MR图像中可见细节的增加,执行了评估小梁质量的手动方法。所有使用的算法均基于水平集理论,该理论可检测心内膜和壁表面以及表征小梁的黑色部分。已对6名正常受试者和6名ARVD受试者进行了调查。我们的方法与标准的手动方法进行体积估计显着相关(y = 0.92×+ 6.56),(r = 0.92 p <; 0.001)。 Wall Motion结果显示ARVD患者的RV节段功能显着降低,与正常受试者相比,下壁的参与程度最大,降低幅度超过80%(p <; 0.001),而RV流出道(RVOT)参与程度最低与正常受试者相比减少幅度不到50%(p <; 0.001)。在小梁质量评估中执行了可重复性测试,该测试显示出较高的观察者内部相关性,实际上,在95%的情况下,结果是显着的。

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