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Almost all of these method consider tumor as concentration of huge number of cancer cells and calculate the death or birth of these cells pursuant to some rules based on the cell biology (Dionysiou et al. 2004, Stamatakos et al. 2010, Kolokotroni et al. 2011). These approaches look attractive, however it seems to be difficult to implement them into clinical situation because therapeutic effect cannot be evaluated accurately only by the number of cancer cells. Usable method for prediction and evaluation of therapeutic response of tumors has been required strongly.
It was revealed that tumors shrunk uniformly keeping their initial morphological features during radiotherapy. This finding cannot be obtained from traditional evaluation by measuring diameters of the tumors on CT images. This study also proposed a novel simulation method to predict changes in 3D tumor geometries during radiotherapy considering intratumoral heterogeneity of radiosensitivity. The simulation results were found to conform to actual changes in tumor geometry. Although some difficulties still remain to be solved, tumor geometries could be predicted using our approach.
An advanced discrete state-discrete event multiscale simulation model of the response of a solid tumor to chemotherapy: Mimicking a clinical study. 266(2010), pp. 124-139. , et al. (2009a). Analysis of three-dimensional characteristics in tumor morphology. 4 (2009), pp. 221-229. , et al. (2009b). Computer simulation of radiotherapy for malignant tumor - A mechanical analogy method -. 4 (2009), pp. 576-588. , et al. (2011). Accurate analysis of the change in volume, location, and shape of metastatic cervical lymph nodes during radiotherapy.