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首页> 外文期刊>Experimental Physiology >Non‐invasive prediction of genotype positive–phenotype negative in hypertrophic cardiomyopathy by 3D modern shape analysis
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Non‐invasive prediction of genotype positive–phenotype negative in hypertrophic cardiomyopathy by 3D modern shape analysis

机译：3D现代形状分析，肥厚性心肌病的基因型正表型的非侵入性预测

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New Findings What is the central question of this study? Can impaired deformational indicators for genotype positive for hypertrophic cardiomyopathy in subjects that do not exhibit a left‐ventricular wall hypertrophy condition (G+LVH?) be determined using non‐invasive 3D echocardiography? What is the main finding and its importance? Using 3D‐STE and modern shape analysis, peculiar deformational impairments can be detected in G+LVH? subjects that can be classified with good accuracy. Moreover, the patterns of impairment are located mainly on the apical region in agreement with other evidence coming from previous biomechanical investigations. Abstract We propose a non‐invasive procedure for predicting genotype positive for hypertrophic cardiomyopathy (HCM) in subjects that do not exhibit a left‐ventricular wall hypertrophy condition (G+LVH?); the procedure is based on the enhanced analysis of medical imaging from 3D speckle tracking echocardiography (3D‐STE). 3D‐STE, due to its low quality images, has not been used so far to detect effectively the G+LVH? condition. Here, we post‐processed echocardiographic images exploiting the tools of modern shape analysis, and we studied the motion of the left ventricle (LV) during an entire cycle. We enrolled 82 controls, 21 HCM patients and 11 G+LVH? subjects. We followed two steps: (i) we selected the most impaired regions of the LV by analysing its strains; and (ii) we used shape analysis on these regions to classify the subjects. The G+LVH? subjects showed different trajectories and deformational attributes. We found high classification performance in terms of area under the receiver operating characteristic curve (～90), sensitivity (～78) and specificity (～79). Our results showed that (i) G+LVH? subjects present important deformational impairments relative to healthy controls and (ii) modern shape analysis can efficiently predict genotype by means of a non‐invasive and inexpensive technique such as 3D‐STE.
机译：新发现这项研究的核心问题是什么？可以使用非侵入性3D超声心动图测定未表现出左心室壁肥大条件（G + LVHα）的受试者的肥厚性心肌病的基因型阳性的基因型阳性的变形指标受损吗？主要发现和重要性是什么？使用3D-STE和现代形状分析，在G + LVH中可以检测到特殊的变形损伤？可以以良好的准确性归类的主题。此外，损伤模式主要位于顶端区域，同时与来自以前的生物力学调查的其他证据一致。摘要我们提出了一种非侵入性程序，用于预测未表现出左心室壁肥大条件（G + LVH的受试者的肥大心肌病（HCM）的基因型阳性;该程序基于从3D散斑跟踪超声心动图（3D-STE）的医学成像的增强分析。 3D-STE，由于其低质量的图像，迄今未使用尚未使用G + LVH且有效地检测吗？健康）状况。在这里，我们后期后期超声心动图图像利用现代形状分析的工具，我们在整个循环期间研究了左心室（LV）的运动。我们注册了82名控药，21例HCM患者和11 G + LVH？主题。我们跟进了两个步骤：（i）通过分析其菌株，我们选择了LV的最受损地区; （ii）我们在这些地区使用形状分析以对受试者进行分类。 g + lvh？受试者显示出不同的轨迹和变形属性。我们在接收器操作特性曲线（〜90），灵敏度（〜78）和特异性（〜79）下，我们发现高分类性能。我们的结果表明，（i）g + lvh？受试者具有相对于健康对照的重要变形损伤，并且（ii）现代形状分析可以通过诸如3D-STE的非侵入性和廉价的技术有效地预测基因型。

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