Dosimetric evaluation of respiratory gated volumetric modulated arc therapy for lung stereotactic body radiation therapy using 3D printing technology

PLoS One. 2018 Dec 26;13(12):e0208685. doi: 10.1371/journal.pone.0208685. eCollection 2018.

Abstract

Purpose: This study aimed to evaluate the dosimetric accuracy of respiratory gated volumetric modulated arc therapy (VMAT) for lung stereotactic body radiation therapy (SBRT) under simulation conditions similar to the actual clinical situation using patient-specific lung phantoms and realistic target movements.

Methods: Six heterogeneous lung phantoms were fabricated using a 3D-printer (3DISON, ROKIT, Seoul, Korea) to be dosimetrically equivalent to actual target regions of lung SBRT cases treated via gated VMAT. They were designed to move realistically via a motion device (QUASAR, Modus Medical Devices, Canada). Using the lung phantoms and a homogeneous phantom (model 500-3315, Modus Medical Devices), film dosimetry was performed with and without respiratory gating for VMAT delivery (TrueBeam STx; Varian Medical Systems, Palo Alto, CA, USA). The measured results were analyzed with the gamma passing rates (GPRs) of 2%/1 mm criteria, by comparing with the calculated dose via the AXB and AAA algorithms of the Eclipse Treatment Planning System (version 10.0.28; Varian Medical Systems).

Results: GPRs were greater than the acceptance criteria 80% for all film measurements with the stationary and homogeneous phantoms in conventional QAs. Regardless of the heterogeneity of phantoms, there were no significant differences (p > 0.05) in GPRs obtained with and without target motions; the statistical significance (p = 0.031) was presented between both algorithms under the utilization of heterogeneous phantoms.

Conclusions: Dosimetric verification with heterogeneous patient-specific lung phantoms could be successfully implemented as the evaluation method for gated VMAT delivery. In addition, it could be dosimetrically confirmed that the AXB algorithm improved the dose calculation accuracy under patient-specific simulations using 3D printed lung phantoms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Equipment Design
  • Four-Dimensional Computed Tomography
  • Humans
  • Lung Neoplasms / diagnostic imaging
  • Lung Neoplasms / physiopathology
  • Lung Neoplasms / radiotherapy
  • Lung* / diagnostic imaging
  • Lung* / physiopathology
  • Lung* / radiation effects
  • Models, Anatomic
  • Movement
  • Patient-Specific Modeling
  • Phantoms, Imaging*
  • Printing, Three-Dimensional*
  • Radiometry
  • Radiosurgery / instrumentation*
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy, Intensity-Modulated / instrumentation*
  • Respiration*

Grants and funding

This research was supported by the Basic Science Research Program of Science and Technology (2014R1A1A2058154 and 2016R1C1B2014792) and by the Radiation Technology R&D program (2013M2A2A7043506 and 2015M2A2A6A02045253) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning.