Your browser doesn't support javascript.
loading
The effect of density overrides on magnetic resonance-guided radiation therapy planning for lung cancer.
Schrenk, Oliver; Spindeldreier, Claudia Katharina; Schmitt, Daniela; Roeder, Falk; Bangert, Mark; Burigo, Lucas Norberto; Pfaffenberger, Asja.
Afiliação
  • Schrenk O; Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Spindeldreier CK; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
  • Schmitt D; Medical Faculty, University of Heidelberg, Heidelberg, Germany.
  • Roeder F; Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bangert M; Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
  • Burigo LN; Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
  • Pfaffenberger A; Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Phys Imaging Radiat Oncol ; 8: 23-27, 2018 Oct.
Article em En | MEDLINE | ID: mdl-33458412
ABSTRACT
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Imaging Radiat Oncol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Imaging Radiat Oncol Ano de publicação: 2018 Tipo de documento: Article