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Simulating growth dynamics and radiation response of avascular tumour spheroids-model validation in the case of an EMT6/Ro multicellular spheroid.

机译:在EMT6 / Ro多细胞球体的情况下模拟血管瘤球体的生长动力学和辐射响应模型验证。

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The goal of this paper is to provide both the basic scientist and the clinician with an advanced computational tool for performing in silico experiments aiming at supporting the process of biological optimisation of radiation therapy. Improved understanding and description of malignant tumour dynamics is an additional intermediate objective. To this end an advanced three-dimensional (3D) Monte-Carlo simulation model of both the avascular development of multicellular tumour spheroids and their response to radiation therapy is presented. The model is based upon a number of fundamental biological principles such as the transition between the cell cycle phases, the diffusion of oxygen and nutrients and the cell survival probabilities following irradiation. Efficient algorithms describing tumour expansion and shrinkage are proposed and applied. The output of the biosimulation model is introduced into the (3D) visualisation package AVS-Express, which performs the visualisation of both the external surface and the internal structure of the dynamically evolving tumour based on volume or surface rendering techniques. Both the numerical stability and the statistical behaviour of the simulation model have been studied and evaluated for the case of EMT6/Ro spheroids. Predicted histological structure and tumour growth rates have been shown to be in agreement with published experimental data. Furthermore, the underlying structure of the tumour spheroid as well as its response to irradiation satisfactorily agrees with laboratory experience.
机译:本文的目的是为基础科学家和临床医生提供先进的计算工具,以进行计算机模拟实验,以支持放射治疗的生物学优化过程。改善对恶性肿瘤动力学的理解和描述是另一个中间目标。为此,提出了先进的三维(3D)蒙特卡洛模拟模型,该模型既可对多细胞肿瘤球体进行无血管形成,也可以对放射治疗作出反应。该模型基于许多基本的生物学原理,例如细胞周期阶段之间的过渡,氧气和养分的扩散以及辐照后的细胞存活率。提出并应用了描述肿瘤扩展和缩小的有效算法。生物模拟模型的输出被引入到(3D)可视化程序包AVS-Express中,该程序基于体积或表面渲染技术对动态演变的肿瘤的外部表面和内部结构进行可视化。对于EMT6 / Ro椭球体的情况,已经研究并评估了仿真模型的数值稳定性和统计行为。预测的组织学结构和肿瘤生长速率已证明与已发表的实验数据一致。此外,肿瘤球体的基本结构及其对辐射的反应令人满意地符合实验室的经验。

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