The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer

Background and Purpose: Inverse treatment planning for lung cancer can be challenging since density heterogeneities may appear inside the planning target volume (PTV). One method to improve the quality of intensity modulation is the override of low density tissues inside the PTV during plan optimiza...

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Main Authors: Oliver Schrenk, Claudia Katharina Spindeldreier, Daniela Schmitt, Falk Roeder, Mark Bangert, Lucas Norberto Burigo, Asja Pfaffenberger
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:Physics and Imaging in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631618300344
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author Oliver Schrenk
Claudia Katharina Spindeldreier
Daniela Schmitt
Falk Roeder
Mark Bangert
Lucas Norberto Burigo
Asja Pfaffenberger
spellingShingle Oliver Schrenk
Claudia Katharina Spindeldreier
Daniela Schmitt
Falk Roeder
Mark Bangert
Lucas Norberto Burigo
Asja Pfaffenberger
The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
Physics and Imaging in Radiation Oncology
author_facet Oliver Schrenk
Claudia Katharina Spindeldreier
Daniela Schmitt
Falk Roeder
Mark Bangert
Lucas Norberto Burigo
Asja Pfaffenberger
author_sort Oliver Schrenk
title The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
title_short The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
title_full The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
title_fullStr The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
title_full_unstemmed The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
title_sort effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer
publisher Elsevier
series Physics and Imaging in Radiation Oncology
issn 2405-6316
publishDate 2018-10-01
description Background and Purpose: Inverse treatment planning for lung cancer can be challenging since density heterogeneities may appear inside the planning target volume (PTV). One method to improve the quality of intensity modulation is the override of low density tissues inside the PTV during plan optimization. For magnetic resonance-guided radiation therapy (MRgRT), where the influence of the magnetic field on secondary electrons is sensitive to the tissue density, the reliability of density overrides has not yet been proven. This work, therefore, gains a first insight into density override strategies for MRgRT. Material and methods: Monte Carlo-based treatment plans for five lung cancer patients were generated based on free-breathing CTs and two density override strategies. Different magnetic field configurations were considered with their effect being accounted for during optimization. Optimized plans were forward calculated to 4D-CTs and accumulated for the comparison of planned and expected delivered dose. Results: For MRgRT, density overrides led to a discrepancy between the delivered and planned dose. The tumor volume coverage deteriorated for perpendicular magnetic fields of 1.5 T to 93.6% (D98%). For inline fields a maximal increase of 2.2% was found for the mean dose. In terms of organs at risk, a maximal sparing of 0.6 Gy and 0.9 Gy was observed for lung and heart, respectively. Conclusions: In this work, first results on the effect of density overrides on treatment planning for MRgRT are presented. It was observed that the underestimation of magnetic field effects in overridden densities during treatment planning resulted in an altered delivered dose, depending on the field strength and orientation. Keywords: Density overrides, Treatment planning, IMRT, Monte Carlo, MRgRT, MR-linac, Magnetic field, Lung cancer, Dose delivery, Tumor motion
url http://www.sciencedirect.com/science/article/pii/S2405631618300344
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spelling doaj-9b4a1a1165ab470bbd0c8fb00aa092d52020-11-24T20:42:06ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162018-10-0182327The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancerOliver Schrenk0Claudia Katharina Spindeldreier1Daniela Schmitt2Falk Roeder3Mark Bangert4Lucas Norberto Burigo5Asja Pfaffenberger6Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany; Medical Faculty, University of Heidelberg, Heidelberg, Germany; Corresponding author at: Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, GermanyClinical Cooperation Unit Molecular Radiooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Radiation Oncology, University of Munich (LMU), Munich, GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, GermanyDivision of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, GermanyBackground and Purpose: Inverse treatment planning for lung cancer can be challenging since density heterogeneities may appear inside the planning target volume (PTV). One method to improve the quality of intensity modulation is the override of low density tissues inside the PTV during plan optimization. For magnetic resonance-guided radiation therapy (MRgRT), where the influence of the magnetic field on secondary electrons is sensitive to the tissue density, the reliability of density overrides has not yet been proven. This work, therefore, gains a first insight into density override strategies for MRgRT. Material and methods: Monte Carlo-based treatment plans for five lung cancer patients were generated based on free-breathing CTs and two density override strategies. Different magnetic field configurations were considered with their effect being accounted for during optimization. Optimized plans were forward calculated to 4D-CTs and accumulated for the comparison of planned and expected delivered dose. Results: For MRgRT, density overrides led to a discrepancy between the delivered and planned dose. The tumor volume coverage deteriorated for perpendicular magnetic fields of 1.5 T to 93.6% (D98%). For inline fields a maximal increase of 2.2% was found for the mean dose. In terms of organs at risk, a maximal sparing of 0.6 Gy and 0.9 Gy was observed for lung and heart, respectively. Conclusions: In this work, first results on the effect of density overrides on treatment planning for MRgRT are presented. It was observed that the underestimation of magnetic field effects in overridden densities during treatment planning resulted in an altered delivered dose, depending on the field strength and orientation. Keywords: Density overrides, Treatment planning, IMRT, Monte Carlo, MRgRT, MR-linac, Magnetic field, Lung cancer, Dose delivery, Tumor motionhttp://www.sciencedirect.com/science/article/pii/S2405631618300344