Published May 1, 2016 | Version v1
Journal article

Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients

  • 1. Section of Nuclear Energy and Radiation Applications, Department of Radiation, Science and Technology, Delft University of Technology, Delft (Netherlands)
  • 2. Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam (Netherlands)

Description

Purpose: We aimed to derive a "robustness recipe" giving the range robustness (RR) and setup robustness (SR) settings (ie, the error values) that ensure adequate clinical target volume (CTV) coverage in oropharyngeal cancer patients for given gaussian distributions of systematic setup, random setup, and range errors (characterized by standard deviations of Σ, σ, and ρ, respectively) when used in minimax worst-case robust intensity modulated proton therapy (IMPT) optimization. Methods and Materials: For the analysis, contoured computed tomography (CT) scans of 9 unilateral and 9 bilateral patients were used. An IMPT plan was considered robust if, for at least 98% of the simulated fractionated treatments, 98% of the CTV received 95% or more of the prescribed dose. For fast assessment of the CTV coverage for given error distributions (ie, different values of Σ, σ, and ρ), polynomial chaos methods were used. Separate recipes were derived for the unilateral and bilateral cases using one patient from each group, and all 18 patients were included in the validation of the recipes. Results: Treatment plans for bilateral cases are intrinsically more robust than those for unilateral cases. The required RR only depends on the ρ, and SR can be fitted by second-order polynomials in Σ and σ. The formulas for the derived robustness recipes are as follows: Unilateral patients need SR = −0.15Σ2 + 0.27σ2 + 1.85Σ − 0.06σ + 1.22 and RR=3% for ρ = 1% and ρ = 2%; bilateral patients need SR = −0.07Σ2 + 0.19σ2 + 1.34Σ − 0.07σ + 1.17 and RR=3% and 4% for ρ = 1% and 2%, respectively. For the recipe validation, 2 plans were generated for each of the 18 patients corresponding to Σ = σ = 1.5 mm and ρ = 0% and 2%. Thirty-four plans had adequate CTV coverage in 98% or more of the simulated fractionated treatments; the remaining 2 had adequate coverage in 97.8% and 97.9%. Conclusions: Robustness recipes were derived that can be used in minimax robust optimization of IMPT treatment plans to ensure adequate CTV coverage for oropharyngeal cancer patients.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijrobp.2016.02.035

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2016.02.035;
PII
S0360-3016(16)00155-3;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
95
Journal Issue
1
Journal Page Range
p. 163-170
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48097223
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
CHAOS THEORY; COMPUTERIZED TOMOGRAPHY; ERRORS; GAUSS FUNCTION; NEOPLASMS; OPTIMIZATION; PATIENTS; PROTON BEAMS; RADIOTHERAPY
Descriptors DEC
BEAMS; DIAGNOSTIC TECHNIQUES; DISEASES; FUNCTIONS; MATHEMATICS; MEDICINE; NUCLEAR MEDICINE; NUCLEON BEAMS; PARTICLE BEAMS; RADIOLOGY; THERAPY; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.