Sakkalis Vangelis, Roniotis Alexandros, Farmaki Christina, Karatzanis Ioannis, Marias Konstantinos
Institute of Computer Science at FORTH, Vassilika Vouton, GR-70013 Heraklion, Crete, Greece.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6809-12. doi: 10.1109/IEMBS.2010.5625961.
This paper investigates the applicability of multilevel macroscopic models for simulating solid tumor growth in the invasive glioblastoma multiforme (GBM) case. The continuum case approach tumor model based on the diffusion reaction equation is evaluated on a pre-segmented tomographic atlas where all tissue properties are known a priori. The atlas is further registered on a real clinical case where the tumor invasion status is gauged in two successive points in time. Based on the latter, the model attempts to fully replicate tumor growth taking into account tissue based properties as identified from the atlas template. The whole process is performed on a clinical platform specially designed to facilitate precise identification and delineation of tumors of large number of 3D tomographic datasets by an expert clinician. The promising results presented encourage the potential clinical applicability of the proposed model in the glioma case and identify crucial points and direction of further model refinement and research.
本文研究了多级宏观模型在模拟多形性侵袭性胶质母细胞瘤（GBM）实体瘤生长中的适用性。基于扩散反应方程的连续体病例方法肿瘤模型在一个预先分割的断层图像图谱上进行评估，其中所有组织特性都是先验已知的。该图谱进一步配准到一个真实临床病例上，在该病例中肿瘤侵袭状态在两个连续时间点进行测量。基于后者，该模型试图充分复制肿瘤生长，同时考虑从图谱模板中识别出的基于组织的特性。整个过程在一个专门设计的临床平台上进行，以方便专家临床医生精确识别和描绘大量3D断层数据集的肿瘤。所呈现的有前景的结果鼓励了所提出的模型在胶质瘤病例中的潜在临床适用性，并确定了进一步模型改进和研究的关键点及方向。
