Purpose: The accuracy of analytical dose calculations (ADC) and dose uncertainties resulting from anatomical changes are both limiting factors in proton therapy. For the latter, rapid plan adaption is necessary; for the former, Monte Carlo (MC) approaches are increasingly recommended. These, however, are inherently slower than analytical approaches, potentially limiting the ability to rapidly adapt plans. Here, we compare the clinical relevance of uncertainties resulting from both. Methods and Materials: Five patients with non-small cell lung cancer with up to 9 computed tomography (CT) scans acquired during treatment and five paranasal (head and neck) patients with 10 simulated anatomical changes (sinus filling) were analyzed. On the initi...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
The impact of approximated analytical dose calculation (ADC), often used in TPS, on the proton PBS t...
PURPOSE: To demonstrate predictive anatomical modelling for improving the clinical workflow of adapt...
Purpose: The accuracy of analytical dose calculations (ADC) and dose uncertainties resulting from an...
Purpose: The accuracy of analytical dose calculations (ADC) and dose uncertainties resulting from an...
Purpose/Objective(s): The limited accuracy of analytical dose calculation algorithms (ADC) currently...
Purpose: Adaptive planning is often needed in lung cancer proton therapy to account for geometrical ...
Background and purpose: In proton therapy, inter-fractional density changes can severely compromise ...
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is th...
Purpose: Monte Carlo (MC) dose calculation is generally superior to analytical dose calculation (ADC...
With proton therapy, highly conformal dose can be applied to the tumor while sparing the surrounding...
Purpose A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is th...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
The impact of approximated analytical dose calculation (ADC), often used in TPS, on the proton PBS t...
PURPOSE: To demonstrate predictive anatomical modelling for improving the clinical workflow of adapt...
Purpose: The accuracy of analytical dose calculations (ADC) and dose uncertainties resulting from an...
Purpose: The accuracy of analytical dose calculations (ADC) and dose uncertainties resulting from an...
Purpose/Objective(s): The limited accuracy of analytical dose calculation algorithms (ADC) currently...
Purpose: Adaptive planning is often needed in lung cancer proton therapy to account for geometrical ...
Background and purpose: In proton therapy, inter-fractional density changes can severely compromise ...
Purpose: A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is th...
Purpose: Monte Carlo (MC) dose calculation is generally superior to analytical dose calculation (ADC...
With proton therapy, highly conformal dose can be applied to the tumor while sparing the surrounding...
Purpose A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is th...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
INTRODUCTION: Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations...
The impact of approximated analytical dose calculation (ADC), often used in TPS, on the proton PBS t...
PURPOSE: To demonstrate predictive anatomical modelling for improving the clinical workflow of adapt...