Abstract

This study evaluated the setup uncertainties for brain sites when using BrainLAB’s ExacTrac X-ray 6D system for daily pretreatment to determine the optimal planning target volume (PTV) margin. Between August 2012 and April 2015, 28 patients with brain tumors were treated by daily image-guided radiotherapy using the BrainLAB ExacTrac 6D image guidance system of the Novalis-Tx linear accelerator. DUONTM (Orfit Industries, Wijnegem, Belgium) masks were used to fix the head. The radiotherapy was fractionated into 27–33 treatments. In total, 844 image verifications were performed for 28 patients and used for the analysis. The setup corrections along with the systematic and random errors were analyzed for six degrees of freedom in the translational (lateral, longitudinal, and vertical) and rotational (pitch, roll, and yaw) dimensions. Optimal PTV margins were calculated based on van Herk et al.’s [margin recipe = 2.5∑ + 0.7σ - 3 mm] and Stroom et al.’s [margin recipe = 2∑ + 0.7σ] formulas. The systematic errors (∑) were 0.72, 1.57, and 0.97 mm in the lateral, longitudinal, and vertical translational dimensions, respectively, and 0.72°, 0.87°, and 0.83° in the pitch, roll, and yaw rotational dimensions, respectively. The random errors (σ) were 0.31, 0.46, and 0.54 mm in the lateral, longitudinal, and vertical rotational dimensions, respectively, and 0.28°, 0.24°, and 0.31° in the pitch, roll, and yaw rotational dimensions, respectively. According to van Herk et al.’s and Stroom et al.’s recipes, the recommended lateral PTV margins were 0.97 and 1.66 mm, respectively; the longitudinal margins were 1.26 and 3.47 mm, respectively; and the vertical margins were 0.21 and 2.31 mm, respectively. Therefore, daily setup verifications using the BrainLAB ExacTrac 6D image guide system are very useful for evaluating the setup uncertainties and determining the setup margin.

Highlights

  • With the advent of new technology such as intensity modulated radiotherapy (IMRT) and volumetric modulated radiotherapy (VMAT), a radiotherapy treatment planning system (RTPS) can maximize the dose to the tumor while minimizing the dose to the normal organs [1].PLOS ONE | DOI:10.1371/journal.pone.0151709 March 28, 2016Setup Uncertainty and Margin for Brain Tumorsusing a planning target volume (PTV) with a small margin can achieve a steep dose gradient and homogeneous dose distributions between the tumor and planning organ at risk volume (PRV).The PTV expands the clinical target volume (CTV) by an appropriate margin

  • The average systematic error shifted to the negative directions

  • If we considered the variation in size or shape of the internal organs from the deformable registration, the setup uncertainties and margins may have varied in this study

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Summary

Introduction

With the advent of new technology such as intensity modulated radiotherapy (IMRT) and volumetric modulated radiotherapy (VMAT), a radiotherapy treatment planning system (RTPS) can maximize the dose to the tumor while minimizing the dose to the normal organs [1].PLOS ONE | DOI:10.1371/journal.pone.0151709 March 28, 2016Setup Uncertainty and Margin for Brain Tumorsusing a planning target volume (PTV) with a small margin can achieve a steep dose gradient and homogeneous dose distributions between the tumor and planning organ at risk volume (PRV).The PTV expands the clinical target volume (CTV) by an appropriate margin. Using a planning target volume (PTV) with a small margin can achieve a steep dose gradient and homogeneous dose distributions between the tumor and planning organ at risk volume (PRV). The internal margin (IM) accounts for the variation in the size or shape of the tumor, and the setup margin (SM) accounts for uncertainties in the position of the patient [2]. One reason that the expansion of the PTV margin from the CTV can be reduced has been the development of image guide systems. Image guide systems such as ExacTrac (BrainLAB, Feldkirchen, Germany) and cone beam computed tomography (CBCT) (Varian Medical System, CA, USA) have played an important role in improving the accuracy of patient positioning and target localization for radiotherapy [3,4,5,6,7,8,9]

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