TcpNtcpCalculation 8.0.0

Tcp Ntcp calculation

A .Net Framework 4.7.2 library for Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) calculations in radiation therapy.

Foundational library is RadiationTreatmentPlanner.Utils.

Installation

Build it from source or install it via NuGet.

Available calculators

All calculators are based on the Linear-Quadratic (LQ) model. Following calculators are available

TCP calculators

• Poisson TCP calculator with normalized volume correction
• Logistic TCP calculator with normalized volume correction
• Poisson TCP with cell density and $\alpha$ calculator

NTCP calculators

• Relative Seriality Poisson NTCP calculator
• Relative Seriality Logistiy NTCP calculator
• Lyman-Kutcher-Burman (LKB) NTCP calculator

Other calculators

• Probability of Cure calculator
• Probability of Injury calculator
• Biologically effective uniform dose calculator
• Complication Free Tumor Control ($P+$) calculator
• TCP Curve calculator
• NTCP Curve calculator

Usage

1. Create a Dose-Volume Histogram (DVH) as described here in detail.

var doseVolumePoints = new List<Tuple<UDose, UVolume>>
{
    new Tuple<UDose, UVolume>(new UDose(69, UDose.UDoseUnit.Gy), new UVolume(5, UVolume.VolumeUnit.ccm)),
    new Tuple<UDose, UVolume>(new UDose(70, UDose.UDoseUnit.Gy), new UVolume(2, UVolume.VolumeUnit.ccm)),
    new Tuple<UDose, UVolume>(new UDose(70, UDose.UDoseUnit.Gy), new UVolume(0, UVolume.VolumeUnit.ccm))
};
var dvhCurve = new DVHCurve(doseVolumePoints, DVHCurve.Type.CUMULATIVE, DVHCurve.DoseType.PHYSICAL);

2. Initialize a calculator

var calculator = new PoissonTcpWithDensityAndAlphaCalculator(new ClonogenicCellDensity(2.8E8),
    new Alpha(0.1205),
    new IsoeffectiveDoseIn2GyConverter(new AlphaOverBeta(1.6, UDose.UDoseUnit.Gy)));

3. Calculate the desired properties

var numberOfTreatmentFractions = 12u;
var result = calculator.Calculate(dvhCurve, numberOfTreatmentFractions);

For more examples see TcpNtcpCalculation.Tests project.

Literature

• Allen Li, X., Alber, M., Deasy, J.O., Jackson, A., Ken Jee, K.-W., Marks, L.B., Martel, M.K., Mayo, C., Moiseenko, V., Nahum, A.E., Niemierko, A., Semenenko, V.A. and Yorke, E.D. (2012), The use and QA of biologically related models for treatment planning: Short report of the TG-166 of the therapy physics committee of the AAPM. Med. Phys., 39: 1386-1409.
  https://doi.org/10.1118/1.3685447
• Francesco Tommasino, Alan Nahum, & Laura Cella (2017). Increasing the power of tumour control and normal tissue complication probability modelling in radiotherapy: recent trends and current issues. Translational Cancer Research, 6(Suppl 5).
  https://doi.org/10.21037/tcr.2017.06.03