Computational tumor models and oxygenation histograms used in the work: Impact of different biologically-adapted radiotherapy strategies on tumor control evaluated with a tumor response model

This dataset contains the files defining the four computational head and neck tumor models and the oxygenation histograms used in the work "Impact of different biologically-adapted radiotherapy strategies on tumor control evaluated with a tumor response model". Regarding the tumor models, information about the number of total cells, proliferating tumor cells, as well as the tumor vascular fraction is provided for each tumor model. Each tumor model is embedded in a cubic volume having 100 voxels per side (each voxel has a 1.123595 mm side). The total volume of each tumor model consists therefore of a total of 10^6 voxels. All models consist on a spherical tumor of approximately 2 cm diameter placed at the center of the volume. The files provided for each tumor model have the information corresponding to each voxel, presented row by row. Three files are needed to define each tumor model: 1) Totalcells.txt is a file specifying the total number of cells existing at each tumor voxel; 2) Tumorcells.txt is a file with number of tumor (proliferating) cells existing at each tumor voxel; and 3) Capillarycells.txt is a file with the number of capillary cells existing at each tumor voxel (vascular fraction can be calculated as the ratio of capillary to total cells per voxel). There are also normal cells within the tumor. The number of normal cells per voxel can be calculated from subtraction of the number of tumor and capillary cells from the total number of cells. Description of the tumor models: tumor model 1) non-uniform distribution of tumor cells and vf; tumor model 2) uniform distribution of tumor cells and vf; tumor model 3) uniform distritubion of tumor cells and non-uniform distribution of vf; and Tumor model 4) non-uniform distribution of of tumor cells and uniform distribution of vf. Regarding oxygenation histograms, information is provided about the oxygenation of tumoral tissue having different values of vascular fraction and maximum oxygen consumption rate. Oxygen distributions were calculated by solving the reaction diffusion equation in a 2D geometry with randomly distributed parallel vessels of 20 micrometres x 20 micrometres. Nine “.dat” files are provided with oxygenation histograms corresponding to tumor tissue with different values of maximum oxygen consumption rate, from 15 to 3 mmHg s^−1 (in files 150cc.dat and file 030cc.dat, respectively). Each line of the file has one histogram of 16 bins, associated to certain value of vascular fraction, VF. The VF corresponding to each histogram is specified in the first column. Oxygenation histograms are provided for vascular fractions ranging from 0.1% to 15% (one can observe the 0.001 and 0.15 values corresponding to these VF values specified at the beginning of the first and last lines of each file). Vascular fractions change in steps of 0.1% and thus each file has 150 lines. All data provided here is the result of computational simulations (no clinical data).