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The use of a mixed Poisson model for tumour control probability computation in non homogeneous irradiations

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Abstract

Tumour control probability (TCP) is the probability of destroying every clonogen in a tumour as a result of a Radiation Therapy treatment. Assuming absorbed dose homogeneity throughout the tumour volume, TCP can be easily derived from a cell survival model. If absorbed dose is non homogeneous, its distribution has to be taken into account, because survival fractions depend on dose. This work presents a method based on mixture probability distributions to introduce absorbed dose heterogeneity using dose volume histograms. Results are close to the ones provided by the standard voxel oriented method usually utilized, but the mixture method makes more robust assumptions about independence between voxels. Therefore, this method is more flexible, and could potentially deal with variations in survival fraction caused by other factors.

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Acknowledgments

We are very grateful to Kevin Miller and Mary Smith for their valuable comments and grammar revision.

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Authors and Affiliations

  1. Servicio de Medicina Nuclear, Hospital General Universitario Gregorio Marañón, Calle Doctor Esquerdo, 46, 28007, Madrid, Spain

    Francisco Cutanda Henríquez

  2. Laboratorio de Metrología de Radiaciones Ionizantes, CIEMAT, Avda Complutense, 22, 28040, Madrid, Spain

    Silvia Vargas Castrillón

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  1. Francisco Cutanda Henríquez
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  2. Silvia Vargas Castrillón
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Correspondence to Francisco Cutanda Henríquez.

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Cutanda Henríquez, F., Vargas Castrillón, S. The use of a mixed Poisson model for tumour control probability computation in non homogeneous irradiations. Australas Phys Eng Sci Med 34, 267–272 (2011). https://doi.org/10.1007/s13246-011-0074-4

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  • DOI: https://doi.org/10.1007/s13246-011-0074-4

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