tcp.lqp: TCP (Poissonian Model, Biological Dose)

In planit-group/Rplanit: Radiotherapy with ion beams - planning, simulations and analysis

TCP (Poissonian Model, Biological Dose)

Description

Evaluate the Tumor Control Probability (TCP) using the Poissonian Model from the knowledge of the biological dose distribution.

Usage

tcp.lqp(dvh.dose = dvh.dose, D50 = 66, R = 10, gam = 2, d = 2,
  alphaX = NULL, betaX = NULL, Nf = 30, G = NULL, RBE = 1)

Arguments

dvh.dose	a dvh object in which is stored the dose (biological dose) for the specific volume.
D50, R, gam	tissue specific biological parameters: tolerance dose at 50%, R=alphaX/betaX, clonogenic density.
d	dose per fraction.
alphaX, betaX	alternatively to (D50, R, gam), it is possible to use directly the LQ parameters as biological parameters. These parameters can be vectors.
Nf	number of fractions.
G	Lea-Catcheside dose-protraction factor (if not define it is assumed complete repair between fractions, G=1/Nf).
RBE	Relative Biological Effectivenes.

Details

The default parameters are taken from the example in [in Bentzen1997] plus the R=alphaX/betaX parameter for tumoral tissues.

By default it is assumed that the dvh.dose contains the biological dose dvh [Gy(E)]. Alternatively it could contain the "physical" dose [Gy] and the biological dose is evaluated by specifying the RBE per fraction (assumed to be constant over the irradiated volume).

If alphaX and betaX are not explicity defined, they were deduced from D50, gam and R

Value

The TCP value

See Also

Other General TCP/NTCP Models: ntcp.S, ntcp.kallman.train, ntcp.kallman, tcp.S, tcp.lqp.train

planit-group/Rplanit documentation built on Dec. 5, 2022, 11:10 p.m.