PURPOSE: To provide methods for quantification of uncertainties in 4-dimensional (4D) treatment during treatment planning. METHODS AND MATERIALS: Uncertainty information was generated by multiple 4D treatment simulations with varying parameters. Sampled data were analyzed using uncertainty visualization methods that have been added to common treatment plan evaluation methods (eg, dose-volume histogram and dose distribution analysis). To illustrate the potential of the introduced methods, uncertainty analysis was completed for a single lung cancer case using 3 motion mitigation techniques: gating, slice-by-slice rescanning, and breath-controlled rescanning. RESULTS: By repeating 4D dose calculations with varying parameters, we were able to show local uncertainties in dose distributions and to evaluate the stability of treatment setups. The new methods were found suitable for uncertainty evaluation in 4D treatment planning of moving tumors. Calculation time of the uncertainty base data was time consuming but contrivable overnight. CONCLUSIONS: Uncertainty analysis and visualization for 4D treatment planning provide an important tool in the decision process for an optimal treatment approach.
PURPOSE: To provide methods for quantification of uncertainties in 4-dimensional (4D) treatment during treatment planning. METHODS AND MATERIALS: Uncertainty information was generated by multiple 4D treatment simulations with varying parameters. Sampled data were analyzed using uncertainty visualization methods that have been added to common treatment plan evaluation methods (eg, dose-volume histogram and dose distribution analysis). To illustrate the potential of the introduced methods, uncertainty analysis was completed for a single lung cancer case using 3 motion mitigation techniques: gating, slice-by-slice rescanning, and breath-controlled rescanning. RESULTS: By repeating 4D dose calculations with varying parameters, we were able to show local uncertainties in dose distributions and to evaluate the stability of treatment setups. The new methods were found suitable for uncertainty evaluation in 4D treatment planning of moving tumors. Calculation time of the uncertainty base data was time consuming but contrivable overnight. CONCLUSIONS: Uncertainty analysis and visualization for 4D treatment planning provide an important tool in the decision process for an optimal treatment approach.
Authors: Christoph Bert; Christian Graeff; Marco Riboldi; Simeon Nill; Guido Baroni; Antje-Christin Knopf Journal: Technol Cancer Res Treat Date: 2013-12-17