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The dependence of local tumor control probability (tcp) on tumor volume is analyzed and discussed with the help of radiobiological modeling; in particular the impact of possible correlations between mean tumor radiosensitivity and tumor dimensions on the tcp volume dependence is explored. The linear-quadratic Poissonian tumor control probability (tcp) model was modified to account for the possible dependence of clonogenic cell density and radiosensitivity parameters on tumor volume; then the original and modified versions of the model were fitted to published clinical and laboratory tumor control data. These different versions of the tcp model often fitted tumor control data equally well, because of the high degree of correlation between the parameters. Nevertheless the results were very different from a physical point of view and we suggest that sometimes it is possible to choose between equally good fits on the basis of physical considerations. Possible links between the volume dependence of the mean radiosensitivity and the degree of tumor hypoxia were also analyzed through a comparison of the results of the tcp fit to published measurements of oxygen tension in tumors.

Original publication

DOI

10.1118/1.599003

Type

Journal article

Journal

Med Phys

Publication Date

06/2000

Volume

27

Pages

1258 - 1265

Keywords

Animals, Biophysical Phenomena, Biophysics, Breast Neoplasms, Carcinoma, Squamous Cell, Female, Humans, Mammary Neoplasms, Experimental, Melanoma, Mice, Mice, Inbred C3H, Models, Biological, Neoplasms, Oxygen Consumption, Probability Theory, Radiation Tolerance, Tumor Cells, Cultured