Related Experiment Video
Updated: Jun 2, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
The use of a mixed Poisson model for tumour control probability computation in non homogeneous irradiations
Francisco Cutanda Henríquez1, Silvia Vargas Castrillón
1Servicio de Medicina Nuclear, Hospital General Universitario Gregorio Marañón, Madrid, Spain. francisco.cutanda@salud.madrid.org
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.
More Related Videos
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022
06:20Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
Related Concept Videos
Poisson Probability Distribution
The...
Poisson's And Laplace's Equation
Cancer Survival Analysis
Poisson's Ratio
Radiation: Applications
The average...