Che Azemin M Z, Ab Hamid F, Aminuddin A, Wang J J, Kawasaki R, Kumar D K
Department of Optometry and Visual Science, Faculty of Allied Health Sciences, International Islamic University Malaysia, Malaysia.
Department of Optometry and Visual Science, Faculty of Allied Health Sciences, International Islamic University Malaysia, Malaysia.
Exp Eye Res. 2013 Nov;116:355-358. doi: 10.1016/j.exer.2013.10.010. Epub 2013 Oct 24.
The fractal dimension is a global measure of complexity and is useful for quantifying anatomical structures, including the retinal vascular network. A previous study found a linear declining trend with aging on the retinal vascular fractal dimension (D); however, it was limited to the older population (49 years and older). This study aimed to investigate the possible models of the fractal dimension changes from young to old subjects (10-73 years). A total of 215 right-eye retinal samples, including those of 119 (55%) women and 96 (45%) men, were selected. The retinal vessels were segmented using computer-assisted software, and non-vessel fragments were deleted. The fractal dimension was measured based on the log-log plot of the number of grids versus the size. The retinal vascular D was analyzed to determine changes with increasing age. Finally, the data were fitted to three polynomial models. All three models are statistically significant (Linear: R = 0.1270, 213 d.f., p < 0.001, Quadratic: R = 0.1536, 212 d.f., p < 0.001, Cubic: R = 0.1529, 211 d.f., p < 0.001). The quadratic regression is significantly better than the linear regression (p < 0.001); however, the increase in R from the quadratic model to the cubic model is not significant (p = 0.97). These results suggest that the decreasing trend of the fractal dimension associated with aging is better explained by the quadratic model than by the linear and cubic models in a sample with a broader age spectrum.
分形维数是复杂性的一种全局度量,可用于量化包括视网膜血管网络在内的解剖结构。先前的一项研究发现,视网膜血管分形维数(D)随年龄增长呈线性下降趋势;然而,该研究仅限于老年人群(49岁及以上)。本研究旨在探讨从年轻到老年受试者(10 - 73岁)分形维数变化的可能模型。共选取了215份右眼视网膜样本,其中包括119名(55%)女性和96名(45%)男性的样本。使用计算机辅助软件对视网膜血管进行分割,并删除非血管片段。基于网格数量与大小的对数-对数图测量分形维数。分析视网膜血管D以确定其随年龄增长的变化。最后,将数据拟合到三个多项式模型。所有三个模型均具有统计学意义(线性:R = 0.1270,自由度为213,p < 0.001;二次:R = 0.1536,自由度为212,p < 0.001;三次:R = 0.1529,自由度为211,p < 0.001)。二次回归明显优于线性回归(p < 0.001);然而,从二次模型到三次模型R的增加并不显著(p = 0.97)。这些结果表明,在年龄范围更广的样本中,与衰老相关的分形维数下降趋势用二次模型比用线性和三次模型能得到更好的解释。