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Exploratory study of the association of volumetric modulated arc therapy (VMAT) plan robustness with local failure in head and neck cancer.
Liu, Wei; Patel, Samir H; Harrington, Daniel P; Hu, Yanle; Ding, Xiaoning; Shen, Jiajian; Halyard, Michele Y; Schild, Steven E; Wong, William W; Ezzell, Gary E; Bues, Martin.
Afiliação
  • Liu W; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Patel SH; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Harrington DP; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Hu Y; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Ding X; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Shen J; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Halyard MY; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Schild SE; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Wong WW; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Ezzell GE; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
  • Bues M; Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, 85054, USA.
J Appl Clin Med Phys ; 18(4): 76-83, 2017 Jul.
Article em En | MEDLINE | ID: mdl-28503916
ABSTRACT
This work is to show which is more relevant to cause local failures (LFs) due to patient setup uncertainty between the planning target volume (PTV) underdosage and the potential target underdosage subject to patient setup uncertainties in head and neck (H&N) cancer treated with volumetric-modulated arc therapy (VMAT). Thirteen LFs in 10 H&N patients treated by VMAT were analyzed. Measures have been taken to minimize the chances of insufficient target delineation for these patients and the patients were clinically determined to have LF based on the PET/CT scan results by an experienced radiologist and then reviewed by a second experienced radiation oncologist. Two methods were used to identify the possible locations of LF due to underdosage (a) examining the standard VMAT plan, in which the underdosed volume in the nominal dose distribution (UVN) was generated by subtracting the volumes receiving the prescription doses from PTVs, and (b) plan robustness analysis, in which in addition to the nominal dose distribution, six perturbed dose distributions were created by translating the CT iso-center in three cardinal directions by the PTV margin. The coldest dose distribution was represented by the minimum of the seven doses in each voxel. The underdosed volume in the coldest dose distribution (UVC) was generated by subtracting the volumes receiving the prescription doses in the coldest dose distribution from the volumes receiving the prescription doses in the nominal dose distribution. UVN and UVC were subsequently examined for spatial association with the locations of LF. The association was tested using the binominal distribution and the Fisher's exact test of independence. We found that of 13 LFs, 11 were associated with UVCs (P = 0.011), while three were associated with UVNs (P = 0.99). We concluded that the possible target underdosage due to patient setup uncertainties appeared to be a more relevant factor associated with LF in VMAT for H&N cancer than the compromised PTV coverage at least for the patients included in this study.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada / Neoplasias de Cabeça e Pescoço Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada / Neoplasias de Cabeça e Pescoço Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article