基于计算机断层扫描的健康男性年龄人体测量指标对Valsalva窦和冠状动脉口高度参数的建模

U. Pidvalna
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摘要

在有创心脏病学和心脏外科手术的术前计划中,计算机断层扫描是进行主动脉形态测量的“金标准”。指标的预测建模可以显著节约资源。本研究的目的:基于计算机断层扫描对健康男性年龄-人体测量指标相关的Valsalva窦和冠状动脉口高度参数进行建模。该材料由43名男性在正常情况下的主动脉和冠状动脉的对比增强计算机断层扫描图像表示。方法:形态计量学和统计学分析。采用多因素相关回归分析确定年龄-人体测量参数对瓦尔萨尔瓦窦和冠状动脉开口高度的复杂影响。所得指标的可靠性通过Fisher检验(F)得到证实。采用Durbin-Watson自相关准则证明所建模型的正确性。在健康男性中,体重(直接影响)和体重指数(反向影响)显著影响右冠状动脉开口下边缘的高度。回归系数R = +0.632, p<0.001,估计标准误差(SEE)为2.951。得到预后模型的线性方程:右冠状动脉口下缘离体高度水平= 0.359×А1 - 1.099×А2 + 16.53。采用Durbin-Watson自相关检验(2.181)检验所建模型的正确性。计算左主动脉窦高度的预后模型由身高和体重指标组成(直接影响较强):R = +0.759, p<0.001, SEE = 2.208。多重测定校正系数为R2adj = +0.562。Durbin-Watson自相关标准在正常范围内(2.241)。所得β系数与预后模型的线性方程为:左主动脉窦高度水平= 35.83 × А1 + 0.033 × А2 - 42.22。对具有不同人体测量和年龄参数的个体的预后模型的工作进行了验证。由此,建立了左主动脉窦高度指标与身高、体重的关系模型;基于计算机断层扫描的健康男性右冠状动脉下缘偏离体重和体质指数的高度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of Valsalva sinuses and coronary artery ostia height parameters, depending on age-anthropometric indicators in healthy men based on computed tomography
Computed tomography is the “gold standard” for performing aortic morphometry during preoperative planning in invasive cardiology and cardiac surgery. Predictive modeling of indicators can significantly save resources. The purpose of the study: to make modelling of Valsalva sinuses and coronary artery ostia height parameters depending on age-anthropometric indicators in healthy men based on computed tomography. The material is represented by contrast-enhanced computed tomography images of the aorta and coronary arteries of forty-three men under normal conditions. Methods: morphometric and statistical analyses. A multifactorial correlation-regression analysis was conducted to establish the complex influence of age-anthropometric parameters on sinuses of Valsalva and coronary artery ostia height. The reliability of the obtained indicators was confirmed by Fisher’s test (F). Using the Durbin-Watson autocorrelation criterion, the correctness of the built model was proved. In healthy men, weight (direct effect) and body mass index (inverse effect) significantly influenced the height of the lower edge of the right coronary artery ostia. The regression coefficient is R = +0.632, with p<0.001, the standard error of estimation (SEE) is 2.951. The obtained linear equation of the prognostic model: the level of the height of the departure of the lower edge of the right coronary artery ostia = 0.359×А1 – 1.099×А2 + 16.53. The correctness of the built model was checked using the Durbin–Watson autocorrelation test (2.181). The prognostic model for calculating the height of the left aortic sinus was formed by height and weight indicators (strong direct influence): R = +0.759, p<0.001, SEE = 2.208. The adjusted coefficient of multiple determination was R2adj = +0.562. The Durbin-Watson autocorrelation criterion was within the normal range (2.241). The linear equation of the prognostic model with the obtained β-coefficients: the level of the height of the left sinus of the aorta = 35.83 × А1 + 0.033 × А2 – 42.22. The work of prognostic models for individuals with different anthropometric and age parameters was verified. Thus, a model of the dependence of the indicator of the height of the left sinus of the aorta on height and weight was created; of the height of the deviation of the lower edge of the right coronary artery from weight and body mass index in healthy men based on computed tomography.
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