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A treatment planning strategy for heavy-charged-particle radiotherapy of lung cancer by the use of computed tomography with projection data-based temporal maximum-intensity projection

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Abstract

To design a range-compensating bolus for heavy-charged-particle radiotherapy of lung cancer, we propose an image-processing method that uses CT projection data for treatment planning. We studied six lung cancer patients in 4DCT mode. Three types of range-compensating bolus were designed with use of (1) each bolus for 4DCT images, (2) image-based maximum-intensity projection data (4DIM), and (3) CT images reconstructed by the use of maximum-attenuation projection data (4DPM) along the time axis around exhale (=respiratory-gated treatment). Carbon-ion dose distributions were calculated by the use of these designed range-compensating boluses and were compared. The dose distribution with 4DIM caused overdosing beyond the target. However, the dose distribution with 4DPM was similar to that with a composite of the range-compensating bolus (CCB) designed for the respiratory phases. Furthermore, the volume of the receiving dose for >95% (D95) for CTV and the volume of the lung receiving dose for >20 GyE (V20) with 4DPM were similar to that with the CCB. The range-compensating bolus with 4DPM provides dose distributions similar to that with the CCB in peripheral lung cancer and improves the calculating efficiency over CCB.

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References

  1. Endo M, Koyama-Ito H, Minohara S, Miyahara N, Tomura H, Kanai T, et al. HIPLAN—a heavy ion treatment planning system at HIMAC. J Jpn Soc Ther Radol Oncol. 1996;8:231–8.

    Google Scholar 

  2. Minohara S, Kanai T, Endo M, Noda K, Kanazawa M. Respiratory gated irradiation system for heavy-ion radiotherapy. Int J Radiat Oncol Biol Phys. 2000;47:1097–103.

    CAS  PubMed  Google Scholar 

  3. Kanai T, Kawachi H, Matsuzawa H, Inada T. Broad beam three dimensional irradiation for proton radiotherapy. Med Phys. 1983;10:344–6.

    Article  CAS  PubMed  Google Scholar 

  4. Futami Y, Kanai T, Fujita M, Tomura A, Higashi N, Matsufuji N, et al. Broad-beam three-dimensional irradiation system for heavy-ion radiotherapy a HIMAC. Nucl Instrum Methods Phys Res A. 1999;430:143–53.

    Article  CAS  Google Scholar 

  5. Kanematsu N, Endo M, Futami Y, Kanai T, Asakura H, Oka H, et al. Treatment planning of the layer-stacking irradiation system for three-dimensional conformal heavy-ion radiotherapy. Med Phys. 2002;29:2823–9.

    Article  PubMed  Google Scholar 

  6. Kanai T, Kanematsu N, Minohara S, Komori M, Torikoshi M, Asakura H, et al. Commissioning of a conformal irradiation system for heavy-ion radiotherapy using a layer-stacking method. Med Phys. 2006;33:2989–97.

    Article  PubMed  Google Scholar 

  7. International Commision on Radiation Units and Measurement. Prescribing, recording and reporting photon beam therapy (supplement to ICRU report 50). ICRU report 62. 1999.

  8. Underberg RWM, Lagerwaard FJ, Slotman BJ, Cuijpers JP, Senan S. Use of maximum intensity projection (MIP) for target volume generation in 4DCT scans for lung cancer. Int J Radiat Oncol Biol Phys. 2005;63:253–60.

    PubMed  Google Scholar 

  9. Kang Y, Zhang X, Chang JY, Wang H, Wei X, Liao Z, et al. 4D proton treatment planning strategy for mobile lung tumors. Int J Radiat Oncol Biol Phys. 2007;67:906–14.

    PubMed  Google Scholar 

  10. Mori S, Wolfgang J, Lu H, Schneider R, Choi NC, Chen GY. Quantitative assessment of range fluctuations in charged particle lung irradiation. Int J Radiat Oncol Biol Phys. 2008;70:253–61.

    PubMed  Google Scholar 

  11. Mori S, Wu Z, Folkert MR, Kumagai M, Dobashi S, Sugane T, Baba M. Practical approaches to four-dimensional heavy-charged-particle lung therapy. Radiol Phys Technol. 2010. doi:10.1007/s12194-009-0072-3.

  12. Mori S, Kanematsu N, Asakura H, Endo M. Projection-data based temporal maximum attenuation computed tomography: determination of internal target volume for lung cancer against intra-fraction motion. Phys Med Biol. 2007;52:1027–38.

    Article  PubMed  Google Scholar 

  13. Endo M, Mori S, Tsunoo T, Kandatsu S, Tanada S, Aradate H, et al. Development and performance evaluation of the first model of 4-D CT-scanner. IEEE Trans Nucl Sci. 2003;50:1667–71.

    Article  Google Scholar 

  14. Mori S, Endo M, Tsunoo T, Kandatsu S, Tanada S, Aradate H, et al. Physical performance evaluation of a 256-slice CT-scanner for four-dimensional imaging. Med Phys. 2004;31:1348–56.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Accelerator Engineering Corporation, 3-8-5, Konaka-dai, Inage-ku, Chiba, Chiba, 263-0043, Japan

    Hiroshi Asakura

  2. Research Center for Charged Particle Therapy, National Institute of Radiological Science, Chiba, 263-8555, Japan

    Motoki Kumagai, Nobuyuki Kanematsu & Shinichiro Mori

Authors
  1. Hiroshi Asakura
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  2. Motoki Kumagai
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  3. Nobuyuki Kanematsu
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  4. Shinichiro Mori
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Correspondence to Hiroshi Asakura.

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Asakura, H., Kumagai, M., Kanematsu, N. et al. A treatment planning strategy for heavy-charged-particle radiotherapy of lung cancer by the use of computed tomography with projection data-based temporal maximum-intensity projection. Radiol Phys Technol 3, 58–64 (2010). https://doi.org/10.1007/s12194-009-0077-y

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  • DOI: https://doi.org/10.1007/s12194-009-0077-y

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