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不同生长方式肿瘤的CT/MRI影像观察及数据分析方法
引用本文:Shac YZ,Liu LZ,Wang FH,Cui CY,Bie MJ,Zhong WR,Li L. 不同生长方式肿瘤的CT/MRI影像观察及数据分析方法[J]. 中华医学杂志, 2008, 88(21): 1503-1506
作者姓名:Shac YZ  Liu LZ  Wang FH  Cui CY  Bie MJ  Zhong WR  Li L
作者单位:1. 中山大学物理系,广州,510275
2. 华南肿瘤学国家莺点实验室,中山大学肿瘤防治中心医学影像介入中心
3. 中山大学肿瘤防治中心内科
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金,广东省广州市科技计划 
摘    要:
目的 定量考察浸润性与膨胀性肿瘤的生长形态特征并给出一种简洁的分析方法.方法 选取33例6类肿瘤患者的CT/MRI图像进行了定量评估和数值计算分析.定量评估参数包括肿瘤边界的分形维数、肿瘤内部的异质性及形成包块化程度.结果 (1)浸润性生长肿瘤较膨胀性生长肿瘤具有更大的边界分形维,显示浸润性生长肿瘤边界的复杂性与开放性更加突出.(2)上述两类肿瘤内部都存在异质性,并由此异质性形成肿物包块;异质性与包块化程度基本满足正线性相关,其中膨胀性生长肿瘤比浸润性生长肿瘤具有更大的包块化生长系数.结论 本研究所给出的分形维数、肿瘤内部的异质性及形成包块化程度分析方法对于定量评价肿瘤的进展有一定启示性和实用价值,有助于医学影像图像的定量分析及计算机辅助诊断新方法的建立.

关 键 词:肿瘤  图像处理,计算机辅助  遗传异质性  分形

Quantitative evaluation of CT-MRI images of various tumors with expansive or infiltrative growth pattern
Shac Yuan-zhi,Liu Li-zhi,Wang Feng-hua,Cui Chun-yan,Bie Meng-jie,Zhong Wei-rong,Li Li. Quantitative evaluation of CT-MRI images of various tumors with expansive or infiltrative growth pattern[J]. Zhonghua yi xue za zhi, 2008, 88(21): 1503-1506
Authors:Shac Yuan-zhi  Liu Li-zhi  Wang Feng-hua  Cui Chun-yan  Bie Meng-jie  Zhong Wei-rong  Li Li
Affiliation:Department of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Abstract:
Objective To investigate quantitatively the proliferation of tumors in characteristic of either expansive or infihrative growth pattern.Methods The CT/MRI images of 34 tumor patients with 6 different pathological types were adopted to undergo quantitative evaluation of the growth pattern of these tumors.Three key parameters,fractal dimension(Df)of the border between the tumor and neighboring tissues,degree of heterogeneity(H),and clumpiness(C)inside the tumor,were computed numerically.Results The Df values of the infiltrative tumors were higher than those of the expansive tumors.thus revealing the more evident complexity and openness of the border of infiltrative tumor.Heterogeneity and clumpiness existed within both expansive and infihrative tumors.The clumpiness derived from heterogeneitv and they were correlated positively with each other.The growth coefficient of clumpiness of the expansive tumor was greater than that of the infiltrative tumor.Conclusion The method to anaiyze the fractal dimension of tumor border,and degrees of heterogeneity and clumpiness within a tumor presented in this paper gives some enlightenment to the fundamental research in characterizing tumor growth and shows practical value in clinical diagnosis of tumor,and may be of benefit to the quantitative eyaluation of radiological images and computer.aided diagnosis.
Keywords:Neoplasms  Image processing,computer-assisted  Genetic heterogeneity  Fractal
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