Quantitative assessment of the spatial distribution of low attenuation areas on X-ray CT using texture analysis in patients with chronic pulmonary emphysema.

M Mishima, Y Oku, K Kawakami, N Sakai, M Fukui, T Hirai, K Chin, M Ohi, K Nishimura, H Itoh, M Tanemura, K Kuno
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Abstract

An automated and quantitative assessment of the spatial distribution of low attenuation areas (LAA) on X-ray CT was performed using texture analysis in chronic pulmonary emphysema (CPE) patients. LAA was defined as those areas having a density less than the mean minus one SD of the control (-960 HU). The probability of change from non-LAA to LAA between a given pair of pixels with horizontal intervals of i pixels (RNi) was evaluated, because this reflects the interaction between LAA and non-LAA regions with different resolutions. The relationship between the percentage area of the LAA over the total area of the entire lung field (LAA%) was subsequently estimated. The RNi increased sharply as the i value increased from 1 to 5, but then almost became a plateau for i values larger than 5. This suggests that the fundamental structures in the LAA areas ranged from 1 x 1 to 5 x 5 pixels in size. RN1-LAA% and RN5-LAA% plots produced curves which were convex, with peak values at approximately 50 LAA% of 0.09 and 0.18, respectively. In the RN5/RN1-LAA% plot, the RN5/RN1 ratio remained constant at 2.0 regardless of the LAA%. A random process simulation was performed to determine the patterns of LAA proliferation if the spatial distribution of the LAA units was random. When the unit size was kept constant, the results of the simulation did not fit the empirical relationship between the LAA% and the three parameters (RN1, RN5 and RN5/RN1). The simulation provided the best-fitting curves when the unit size of the LAA increased in proportion with the LAA%, starting from a 1 x 1 pixel size increasing at a ratio 1 x 1/(5 LAA%). This suggested that the LAA units do not proliferate randomly in spatial orientation at a fixed unit size, but rather spread throughout the whole lung field in a congregated form whilst increasing their unit size. Thus, it may be concluded that healthy lung tissues near emphysematous lesions have a high probability of suffering from emphysema in the future. This may be due to a direct effect of the neighboring emphysematous lesion or due to a pathologic change in the larger bronchii which dominate both the healthy tissues and the emphysematous lesions.

慢性肺气肿x线CT低衰减区空间分布的纹理分析定量评价。
采用纹理分析方法对慢性肺气肿(CPE)患者x线CT低衰减区(LAA)的空间分布进行了自动定量评价。LAA定义为密度小于对照组(-960 HU)的平均值- 1 SD的区域。在给定的水平间隔为i个像素(RNi)的一对像素之间,评估了从非LAA到LAA的变化概率,因为这反映了不同分辨率的LAA和非LAA区域之间的相互作用。随后估计LAA面积占整个肺野总面积的百分比(LAA%)之间的关系。当i值从1增加到5时,RNi急剧增加,但当i值大于5时,RNi几乎趋于平稳。这表明LAA区域的基本结构大小在1 × 1到5 × 5像素之间。RN1-LAA%和RN5-LAA%曲线呈凸形,峰值分别为0.09和0.18。在RN5/RN1-LAA%图中,与LAA%无关,RN5/RN1比率保持恒定在2.0。在LAA单元的空间分布是随机的情况下,通过随机过程模拟来确定LAA的扩散模式。当机组尺寸一定时,模拟结果不符合LAA%与三个参数(RN1、RN5和RN5/RN1)之间的经验关系。当LAA的单位尺寸与LAA%成比例增加时,从1 × 1像素尺寸以1 × 1/(5 LAA%)增加开始,模拟提供了最佳拟合曲线。这表明LAA单位不是在固定的单位大小下在空间方向上随机增殖,而是在增加单位大小的同时以聚集的形式遍布整个肺场。因此,可以得出结论,肺气肿病变附近的健康肺组织在未来发生肺气肿的可能性很大。这可能是由于邻近的肺气肿病变的直接影响,或者是由于在健康组织和肺气肿病变中占主导地位的较大支气管的病理改变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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