Abstract：
The study investigated the relationship between the histological compositions of the tricuspid, pulmonary, mitral, and aortic valves, and age. All 85 fresh human hearts were obtained with an age range between 20 and 90 years. The central area of the valves was conducted to analyze the density of collagen and elastic fibers by using an image analysis program. Neural network function in MATLAB was used for classification data and accuracy test of the age predictive model. Overall, a gradual increase in the density of collagen and elastic fibers was demonstrated with age in all valve types. The pulmonary valve cusps had the least density of collagen and elastic contents, whereas the most dense of collagen was found in the mitral leaflets. A similarity was noted for the elastic fibers in the tricuspid, mitral, and aortic valves. The highest correlation between the collagen (r = 0.629) and elastic fibers (r = 0.713) and age was found in the noncoronary cusp of the aortic valve. The established predictive equations using collagen and elastic fibers in the noncoronary cusp provided the standard error of ± 14.0 and 12.5 years, respectively. A 60.9% of accuracy was found in all age groups using collagen, while accuracy in elastic fibers showed 70.0% in the classification process using the neural networks. The current study provided additional data regarding age-associated changes of collagen and elastic fibers in the human heart valves in Thais and the benefits and application in age forensic identification.
摘要：
该研究调查了三尖瓣的组织学组成之间的关系，肺,二尖瓣,和主动脉瓣,和年龄。所有85个新鲜的人类心脏都是在20到90岁之间获得的。通过使用图像分析程序对瓣膜的中心区域进行分析以分析胶原蛋白和弹性纤维的密度。利用MATLAB中的神经网络函数对年龄预测模型进行数据分类和精度检验。总的来说,在所有瓣膜类型中,随着年龄的增长,胶原和弹性纤维的密度逐渐增加.肺动脉瓣尖的胶原蛋白和弹性成分密度最小，而在二尖瓣小叶中发现了最致密的胶原蛋白。注意到三尖瓣中的弹性纤维相似，二尖瓣,和主动脉瓣。胶原蛋白（r=0.629）和弹性纤维（r=0.713）与年龄之间的相关性最高。使用非冠状尖端的胶原蛋白和弹性纤维建立的预测方程提供了±14.0和12.5年的标准误差，分别。在使用胶原蛋白的所有年龄组中，准确率为60.9%，而弹性纤维的准确率在使用神经网络的分类过程中显示为70.0%。当前的研究提供了有关泰国人心脏瓣膜中胶原蛋白和弹性纤维的年龄相关变化以及年龄法医鉴定中的益处和应用的其他数据。
