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http://dx.doi.org/10.7742/jksr.2019.13.4.637

Comparison of Practical Usefulness of Respirational Radiation Treatment Using Geant 4 Simulation Code  

Jang, Eun-Sung (Department of Radiation Oncology Kosin University Gospel Hospital)
Lee, Hyo-Yeong (Department of Radiological Science, Dongeui University)
Publication Information
Journal of the Korean Society of Radiology / v.13, no.4, 2019 , pp. 637-643 More about this Journal
Abstract
To verify internal movements of the body, a DICOM file obtained from CT and a Geant4 code were used to simulate lung cancer patients. In addition, the method is applied to measure the movement of tumor when the movement of t he tumor is located inhale and exhale by creating a virtual tumor in the self-produced moving phantom, and to check the distribution of dose in the treatment plan and the accuracy of tumor in PTV for respiratory and lung cancer patients. It was confirmed that 97% or more respiratory control radiation therapy was effective even if the moving area was more than 3cm, in the 40% to 70% range. Dose distribution with respiratory radiation therapy applied to moving targets, measured by film in the actuation phantom, was shown to be within a 3mm margin of error for dose distribution containing 90%. It was confirmed that for actual patient breathing curves, the treatment time may be shorter than that due to the longer expiratory time.
Keywords
Geant4 code; moving phantom; patient breathing; PENELOPE;
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1 F. Verhaegen, Monte Carlo modeling of external radiotherapy photon beams, Physics in Medicine & Biology. Vol. 48, No. 21, pp. 107-164, 2003   DOI
2 Nederlandse Commissie Voor Stralings dosimetrie, Monte Carlo Treatment Planning: An introduction NCS Delft the Netherlans, Report 16, 2006.
3 S. Agostinelli, J. Allison, K. Amako, A. Jpostolakis, H. Araujo, P. Arce, GEANT4 A Simulation toolkit, Nuclear Instrument and Method in Physics Research, Vol. 506, pp. 250-303, 2003.   DOI
4 J. Allison, K. Amako, J. Apostolakis, H. Araujo, P. A. Asai, Geant4 developments and applications, IEEE transactions on nuclear science, Vol. 53, No. 1, pp. 270-278, 2006.   DOI
5 J. K. Kang, D. J. Leem, Development of Monte Carlo Code for the Dose Calculation of the Stereotatic Radiosurgery, Progress in Medical Physics. Vol. 23, No. 4, pp. 303-308, 2012.
6 P. Mildenberger, M. Eichelberg, E. Martin, Introduction to the DICOM standard, European Radiology, Vol. 12, No. 4, pp. 920-927, 2002.   DOI
7 E. S. Jang, Accuracy Evaluation of Tumor Therapy dring Respiratory Gated Radiation Therapy. Korean Society for Radiotherapeutic Technology. Vol. 22, No. 2, pp. 113-122, 2010.
8 J. Wulf, U. Haedinger, U. Oppitz, W. Thiele, G. Mueller, Stereotatic radiotherapy for primary lung cancer and pulmonary metastases : a noninvasive treatment approach in medically inoperable patients, International Journal of Radiation Oncology, Biolology, Physics., Vol. 60, No. 1, pp. 186-196, 2004.   DOI
9 Y. Seppenwoolde, R. I. Berbeco, S. Nishioka, H. Shirato, Accuracy of tumor motion compensation algorithm from a robotic respiratory tracking system: a simulation study, Medical Physics., Vol. 34, No. 7, pp. 2774-2784, 2007.   DOI
10 A. M. Aleen, K. M. Siracuse, J. A. Hayman, Evalution of the influence of breathing on the movement and modeling of lung tumors, International Journal of Radiation Oncology, Biolology, Physics., Vol. 58, No. 4, pp. 1251-1257, 2004.   DOI
11 M. Van Herk, P. Remeijer, C. Rasch, et al., "The probability of correct target dosage : dose population histograms for deriving treatment margins in radiotherapy, International Journal of Radiation Oncology, Biolology, Physics., Vol. 47, No. 4, pp. 1121-1135, 2000.   DOI
12 S. Lim, S. Park, S. Ahn, et al., Guiding curve based on the normal breathing as monitored by thermocouple for regular breathing, Medical Physics., Vol. 34, No. 11, pp. 4514-4518, 2007.   DOI
13 T. Arugr, J. Ltami, M. Arygr, "Target volume definition for upper abdominal irradiation using CT scans obtained during inhale and exhale phases, International Journal of Radiation Oncology, Biolology, Physics., Vol. 48, No. 2, pp. 465-469, 2000.   DOI
14 I. Surmo, M. Paivansalo, V. Myllyla, Cranio-caudal movements of the liver, pancreas and kidneys in respiration, Acta Radioloica Diagnosis(Stockh)., Vol. 25, No. 2, pp. 129-131, 1984.
15 ICRU-62, Prescribing, Recording and Reporting Photon Beam Therapy (supplement to ICRU report 50): International Commission on Radiation Units and Measurements, Bethesda., MD. 1999.
16 J. J. Gordon, J. V. Siebers, “Convolution method and CTV-to PTV margins for finite fractions and small systematic errors,” Physics in Medicine & Biology, Vol. 52, No. 7, pp. 1967-1990, 2007.   DOI
17 R. Colgan, J. McClelland, D. McQuaid, et al., Planning lung radiotherapy using 4D CT data and a motion model, Physics in Medicine & Biology., Vol. 53, No. 20, pp. 5815-5830, 2008.   DOI
18 T. Zhang, N. P. Orton, W. A. Tome, On the automated definition of mobile target volumes from 4D-CT images for stereotatic body radiotherapy, Medical. Physics., Vol. 32. No. 11, pp. 3493-3502, 2005.   DOI
19 D. W. Rogers, O. and A.F. Bielajew Monte Carlo code to simulate radiotherapy treatment units, Medical Physics., Vol. 22, No. 5, pp. 503-524, 1995   DOI
20 E. Rietzel, G. T. Y. Chen, N. C. Choi, C. G. Willet, Four-dimensional image-based treatment planning: target volume segmentation and dose calculation in the presence of respiratory motion, International Journal of Radiation Oncology. Biolology, Physics., Vol. 61, No. 5, pp. 1535-1550. 2005.   DOI