4.5 Article

A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device

Journal

RADIATION ONCOLOGY
Volume 16, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13014-021-01953-9

Keywords

Radiotherapy; EPID; Quality assurance; In vivo verification

Funding

  1. National Key R&D Program of China [2016YFC0105104]
  2. NSAF [U1830126]
  3. Beijing Municipal Commission of science and technology collaborative innovation project [Z201100005620012]
  4. Capital's Funds for Health Improvement and Research [2020-2Z-40919]
  5. NIH/NCI P30 Cancer Center Support Grant [CA008748]

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This study developed a novel model to predict EPID transmission images based on fluence maps from RT plans for in vivo treatment verification. The model was evaluated with 20 clinical plans and showed high accuracy, suggesting its potential utility for IMRT and VMAT treatment delivery verification.
Background Intensity-modulated radiation therapy (IMRT) and volume-modulated arc therapy (VMAT) are rather complex treatment techniques and require patient-specific quality assurance procedures. Electronic portal imaging devices (EPID) are increasingly used in the verification of radiation therapy (RT). This work aims to develop a novel model to predict the EPID transmission image (TI) with fluence maps from the RT plan. The predicted TI is compared with the measured TI for in vivo treatment verification. Methods The fluence map was extracted from the RT plan and corrections of penumbra, response, global field output, attenuation, and scatter were applied before the TI was calculated. The parameters used in the model were calculated separately for central axis and off-axis points using a series of EPID measurement data. Our model was evaluated using a CIRS thorax phantom and 20 clinical plans (10 IMRT and 10 VMAT) optimized for head and neck, breast, and rectum treatments. Results Comparisons of the predicted and measured images were carried out using a global gamma analysis of 3%/2 mm (10% threshold) to validate the accuracy of the model. The gamma pass rates for IMRT and VMAT were greater than 97.2% and 94.5% at 3%/2 mm, respectively. Conclusion We have developed an accurate and straightforward EPID-based quality assurance model that can potentially be used for in vivo treatment verification of the IMRT and VMAT delivery.

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