Description Usage Arguments Details Value References
View source: R/Dose.Response.R View source: R/modeling.R
This function calculates the Tumor Control Probability according the Munro/Gilbert/Kallman model.
1 | DR.Munro(doses, TD50 = 45, gamma50 = 1.5, a = 1)
|
doses |
Either a |
TD50 |
The value of dose that gives the 50% of probability of outcome |
gamma50 |
The slope of dose/response curve at 50% of probability |
a |
Value for parallel-serial correlation in radiobiological response |
This model is an empyrical dose/response curve that fits experimental data. In their paper authors assume this curve to be equivalent to a Poisson model. The original model equation is:
TCP=e^{-EN_{0}e^{\frac{-D}{D_{0}}}}
E is a numerical parameter that is related to tumor radiosensitivity, N_{0} is the total initial number of tumor clonogenic cells, D is the delivered dose and D_{0} is the increment of dose that lowers survival to 37 per cent. In our implementation Munro/Gilbert/Kallman model has been referenced to TD_{50} and γ_{50} as follows:
TCP=2^{e^{eγ_{50}(1-\frac{D}{TD_{50}})}}
In the model equation D can be either the nominal dose or the EUD as calculated by DVH.eud
function.
A vector with TCP calculated according Munro/Gilbert/Kallman model.
Munro TR, Gilbert CW. The relation between tumour lethal doses and the radiosensitivity of tumour cells. Br J Radiol. 1961 Apr;34:246-51. PubMed PMID: 13726846.
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