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分形肿瘤:它们的真实与虚拟图像。

Fractal tumours: their real and virtual images.

作者信息

Sedivy R

机构信息

Klinisches Institut für Klinische Pathologie, Universität Wien.

出版信息

Wien Klin Wochenschr. 1996;108(17):547-51.

PMID:8873430
Abstract

Autonomous and uncoordinated proliferation of epithelia leads to various well-known growth patterns such as expansive (cauliflower-like), radiating infiltrative, polycyclic, and roundish-ovoid figures. All attempts to describe such natural growth patterns graphically by Euclidean geometry have failed and remain no more than works of art. However, fractal geometry is a new tool for the characterization of irregularly-shaped and complex figures. Moreover, behind a fractal structure there is a basic power-law which provides the opportunity to simulate these forms artificially. A prerequisite for achieving this goal of simulating tumour growth by computer is to establish whether typical tumour growth patterns are fractal. Hence, an investigation was undertaken of 20 tumours (malignant, metastases or benign) exhibiting the above-mentioned typical patterns. If tumour outlines are fractal they have to possess a fractal non-integer dimension which significantly exceeds the integer Euclidean dimension. The fractal dimension of tumour outlines was determined using the box-counting method. Almost all tumours presented a fractal dimension and virtual tumour images were created by utilizing available fractal software. In conclusion, the determination of the fractal dimension of solid neoplasms may be an additional morphometric parameter for growth assessment and it probably provides further opportunity to simulate cancer growth and infiltration by computer animation.

摘要

上皮细胞的自主且不协调的增殖会导致各种众所周知的生长模式,如膨胀性(菜花状)、放射状浸润性、多环状以及圆形-卵形形态。所有试图用欧几里得几何图形来形象描述这种自然生长模式的尝试均告失败,且不过是艺术作品而已。然而,分形几何是一种用于表征不规则形状和复杂图形的新工具。此外,在分形结构背后存在一个基本的幂律,这为人工模拟这些形态提供了机会。通过计算机模拟肿瘤生长这一目标得以实现的一个前提是确定典型的肿瘤生长模式是否为分形。因此,对20个呈现上述典型模式的肿瘤(恶性、转移瘤或良性肿瘤)进行了研究。如果肿瘤轮廓是分形的,那么它们必须拥有一个分形非整数维,该维数显著超过整数欧几里得维数。使用盒计数法确定肿瘤轮廓的分形维数。几乎所有肿瘤都呈现出分形维数,并利用现有的分形软件创建了虚拟肿瘤图像。总之,实体肿瘤分形维数的测定可能是用于生长评估的一个额外形态测量参数,并且它可能为通过计算机动画模拟癌症生长和浸润提供更多机会。

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