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Original Research

Prediction of Midline Dose from Entrance and Exit Dose Using OSLD Measurements for Total Body Irradiation

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영어

Background: This study aims to predict the midline dose based on the entrance and exit doses from optically stimulated luminescence detector (OSLD) measurements for total body irradiation (TBI). Materials and Methods: For TBI treatment, beam data sets were measured for 6 MV and 15 MV beams. To evaluate the tissue lateral effect of various thicknesses, the midline dose and peak dose were measured using a solid water phantom (SWP) and ion chamber. The entrance and exit doses were measured using OSLDs. OSLDs were attached onto the central beam axis at the entrance and exit surfaces of the phantom. The predicted midline dose was evaluated as the sum of the entrance and exit doses by OSLD measurement. The ratio of the entrance dose to the exit dose was evaluated at various thicknesses. Results and Discussion: The ratio of the peak dose to the midline dose was 1.12 for a 30 cm thick SWP at both energies. When the patient thickness is greater than 30 cm, the 15 MV should be used to ensure dose homogeneity. The ratio of the entrance dose to the exit dose was less than 1.0 for thicknesses of less than 30 cm and 40 cm at 6 MV and 15 MV, respectively. Therefore, the predicted midline dose can be underestimated for thinner body. At 15 MV, the ratios were approximately 1.06 for a thickness of 50 cm. In cases where adult patients are treated with the 15 MV photon beam, it is possible for the predicted midline dose to be overestimated for parts of the body with a thickness of 50 cm or greater. Conclusion: The predicted midline dose and OSLD-measured midline dose depend on the phantom thickness. For in-vivo dosimetry of TBI, the measurement dose should be corrected in order to accurately predict the midline dose.

목차

ABSTRACT
 Introduction
 Materials and Methods
  1. OSLD preparation
  2. TBI measurement
 Results and Discussion
 Conclusion
 Acknowledgements
 References

저자정보

  • Chang Heon Choi Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea
  • Jong Min Park Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea; Center for Convergence Research on Robotics, Advance Institutes of Convergence Technology, Suwon, Korea
  • So-Yeon Park Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea
  • Minsoo Chun Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea, Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul, Korea
  • Ji Hye Han Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea, Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea
  • Jin Dong Cho Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea, Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea
  • Jung-in Kim Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea ; Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Korea

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