DVHmetrics (version 0.4.2)

getTCP: Tumor control probability (TCP)

Description

Calculate tumor control probability (TCP) from Lyman's probit model, Niemierko's logit model, the Poisson model, or the Kaellman relative seriality model. May be based on EQD2.

Usage

getTCP(x, TCPtcd50=NULL, TCPm=NULL, TCPn=NULL, TCPgamma50=NULL, NTCPs=NULL,
       EUDa=NULL, EUDfn=NULL, EUDab=NULL,
       TCPtype=c("probit", "logit", "poisson", "relative_seriality"), ...)

Arguments

x

One cumulative DVH (object of class DVHs, multiple cumulative DVHs from one patient with multiple structures (object of class DVHLst), or multiple cumulative DVHs from many patients, each with multiple structures (object of class DVHLstLst). See readDVH.

TCPtcd50

Tolerance dose with 50% tumor control probability.

TCPm

Probit/logit Parameter m. Equal to 1 / (NTCPgamma50*sqrt(2*pi)).

TCPn

Parameter n. Equal to 1/a with exponential gEUD paramter a.

TCPgamma50

Poisson parameter gamma50. Equal to 1 / (NTCPm*sqrt(2*pi))

NTCPs

Relative seriality parameter s.

EUDa

If gEUD should be based on EQD2: Exponential parameter a.

EUDfn

If gEUD should be based on EQD2: Number of fractions.

EUDab

If gEUD should be based on EQD2: alpha/beta ratio for the relevant tissue.

TCPtype

"probit" - Lyman probit model, "logit" - Niemierko logit model, "poisson" - Poisson model, "relative_seriality" - Kaellmann relative seriality model..

...

Ignored. Used to catch additional arguments passed from getMetric.

Value

A data frame with variables TCP, patID, and structure.

Details

For the logit, probit, and Poisson method, gEUD is used for DVH reduction. This is equivalent to the Kutcher-Burman DVH reduction scheme. The probit model is given in equation (1), the logit model in eqation (2), and the Poisson model in equation (3) in Kaellman (1992), with gEUD plugged in for D. The relative seriality model is given in equation (18).

References

Kaellman, P., Agren, A., & Brahme, A. (1992). Tumor and normal tissue responses to fractionated non-uniform dose delivery. International Journal of Radiation Biology, 62(2), 249-262.

Kutcher, G. J., Burman, C., Brewster L., Goitein, M., & Mohan, R. (1991). Histogram reduction method for calculating complication probabilities for threedimensional treatment planning evaluations. International Journal of Radiation Oncology Biology Physics, 21(1), 137-146.

Lyman, J. T. (1985). Complication probability as assessed from dose volume histograms. Radiation Research, 104(2), S13-19.

Niemierko, A. (1999). A generalized concept of equivalent uniform dose. Medical Physics, 26(6), 1100.

Rancati et al. (2004). Fitting late rectal bleeding data using different NTCP models: results from an Italian multi-centric study (AIROPROS0101). Radiotherapy Oncology, 73, 21-32.

See Also

getNTCP, getEUD, getMetric

Examples

# NOT RUN {
getTCP(dataMZ[[1]],
       TCPtcd50=40, TCPm=0.6, TCPn=0.5, TCPtype="probit")
# }