Comparison of ITV Delineation using Intensity Projections Methods for Eclipse and iPlan Treatment Planning System : A Phantom Study

Authors

  • Vaibhav R Mhatre  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Pragya Shree  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Sandeep Patil  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Rajkumar Chauhan  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Vadivel Muthu  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Ajay Sharma  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Shaju Pilakkal  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India
  • Rohit Chauhan  Department of Radiation Oncology,Kokilaben Dhirubhai Ambani Hospital and Research Center, Mumbai, Maharashtra, India

Keywords:

4DCT, Intensity projection, ITV, Phase binning, Treatment planning system.

Abstract

Objective : To compare phase binning of 4DCT, evaluate respiration induced target changes and compare various methods of ITV delineation using intensity projection method for different planning system.

Methods: 3DCT scan of Anzai motion phantom, containing three targets was acquired in static and free breathing condition using Varian RPM and Siemens 4DCT scanner along with 4DCT scan of the same phantom in quasi respiratory mode. Images are retrospectively sorted into six phase bins from 0% to 100% inhalation in increment of 20%. All targets were delineated in each of the eight CT datasets using iPlan and Eclipse planning systems. The changes in shape, volume and HU of targets at different phases were compared with that of static phantom image. ITV and HU of each moving target estimated/delineated from combination of i) all phases ii) 4DCT series using maximum, minimum and mean/average intensity projection (IP) methods and were compared with automatic co-registration of all phases.

Results:Variation of each target volume at different phases was less than ±4%. When targets were set at free breathing, volume increases by a mean of 27%. Of the three IP methods, Mean/Average IP showed minimum deviation in both volume and HU. The ITV generated/delineated using various methods agrees within ±2% for both Eclipse and iPlan planning systems.

Conclusion : Both the systems were found to be accurate for phase binning and ITV delineation. The ITV delineated using Mean IP can be consider as fast, reliable and accurate for planning and delivery of dose to moving target.

References

  1. Keall PJ, Mageras GS, Balter JM, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76.Med Phys. 2006;33:3874–3900.
  2. ICRU, ICRU Report 62. Prescribing, Recording and Reporting Photon Beam Therapy (Supplement to ICRU Report 50) (International Commission on Radiation Units and Measurements, Bethesda, MD, 1999).
  3. Shimizu S, Shirato H, Kagei K, et al. Impact of respiratory movement on the computed tomographic images of small lung tumors in three dimensional (3D) radiotherapy. Int J Radiat Oncol Biol Phys.2000;46:1127–1133.
  4. Korreman SS. Image-guided radiotherapy and motion management in lung cancer. Br J Radiol 2015; 88: 20150100.
  5. Langen KM, Jones DT. Organ motion and its management. Int J Radiat Oncol Biol Phys. 2001;50:265–278.
  6. Burnett SS, Sixel KE, Cheung PC, Hoisak JD. A study of tumor motion management in the conformal radiotherapy of lung cancer.Radiother Oncol. 2008;86:77–85.
  7. Keall PJ, Kini VR, Vedam SS, Mohan R. Potential radiotherapy improvements with respiratory gating. Australas Phys Eng Sci Med 2002;25:1-6.
  8. Underberg RW, Lagerwaard FJ, Slotman BJ, Cuijpers JP, Senan S.Benefit of respiration-gated stereotactic radiotherapy for stage I lung cancer: An analysis of 4DCT datasets. Int J Radiat Oncol Biol Phys 2005;62:554-60.
  9. Santoro JP, Yorke E, Goodman KA, Mageras GS. From phase-based to displacement-based gating: A software tool to facilitate respiration-gated radiation treatment. J Appl Clin Med Phys. 2009; 10: 2982.
  10. Guckenberger M, Wilbert J, Krieger T, et al. Four-dimensional treatment planning for stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys. 2007;69:276–285.
  11. Underberg RW, Lagerwaard FJ, Slotman BJ, Cuijpers JP, Senan S.Use of maximum intensity projections (MIP) for target volume generation in 4DCT scans for lung cancer. Int J Radiat Oncol Biol Phys.2005;63:253–260.
  12. Liu et al.: Use of combined maximum and minimum intensity projections to determine internal target volume in 4-dimensional CT scans for hepatic malignancies. Radiation Oncology 2012 ,7:11.
  13. Wang L, Hayes S, Paskalev K, et al. Dosimetric comparison of stereotactic body radiotherapy using 4D CT and multiphase CT images for treatment planning of lung cancer: evaluation of the impact on daily dose coverage. Radiother Oncol. 2009;91:314–324.
  14. Bradley JD, Nofal AN, El Naqa IM, et al. Comparison of helical, maximum intensity projection (MIP), and averaged intensity (AI) 4D CT imaging for stereotactic body radiation therapy (SBRT) planning in lung cancer. Radiother Oncol. 2006;81:264–268.
  15. Zamora DA, Riegel AC, Sun X, et al. Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning. Med Phys.2010;37(11):5811–5820.
  16. Seung-Gu Yeo, Eun Seog Kim et al. Efficient approach for determining four-dimensional computed tomography-based internal target volume in stereotactic radiotherapy of lung cancer,
  17. Radiat Oncol J 2013;31(4):247-251.
  18. Muirhead R,McNee SG, Featherstone C,Moore K,Muscat S.Use of Maximum Intensity Projections (MIPs) for target outlining in 4DCT radiotherapy planning. J Thorac Oncol 2008; 3: 1433–8.
  19. Eclipse treatment planning Manual (v13.6),VMS,USA.
  20. Louie AV, Rodrigues G, Olsthoorn J, et al. Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era. Radiother Oncol. 2010;95(2):166–71.
  21. T Veninga, H. Huisman, R.W. van der Maazen and H. Huizenga, Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors, J.Appl. Clin. Med. Phys 5 (2004) 66.
  22. Viola P, Wells III WM. Alignment by maximization of mutual information. In: Proc 5th int conf on computer vision (Boston). IEEE; 1995:15–23.
  23. Oechsner et al. Dosimetric impact of different CT datasets for stereotactic treatment planning using 3D conformal radiotherapy or volumetric modulated arc therapy Radiation Oncology (2015) 10:249.
  24. Khamfongkhruea, C. , Thongsawad, S. , Tannanonta, C. and Chamchod, S. (2017), Comparison of CT images with average intensity projection, free breathing, and mid-ventilation for dose calculation in lung cancer. J Appl Clin Med Phys, 18: 26-36. doi:10.1002/acm2.12037
  25. Tian Y, Wang Z, Ge H, et al. Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT. Med Phys. 2012;39:2754–2760.
  26. Han K, Basran PS, Cheung P. Comparison of helical and average computed tomography for stereotactic body radiation treatment planning and normal tissue contouring in lung cancer. Clin Oncol (RColl Radiol). 2010;22:862–867.
  27. Admiraal MA, Schuring D, Hurkmans CW. Dose calculations accounting for breathing motion in stereotactic lung radiotherapy based on 4D-CT and the internal target volume. Radiother Oncol.2008;86:55–60.
  28. Riegel AC, Ahmad M, Sun X, Pan T. Dose calculation with respiration- averaged CT processed from cine CT without a respiratory surrogate. Med Phys. 2008;35:5738–5747.
  29. Glide-Hurst CK, Hugo GD, Liang J, Yan D. A simplified method of four-dimensional dose accumulation using the mean patient density representation. Med Phys. 2008;35:5269–5277.
  30. Huang L, Park K, Boike T, et al. A study on the dosimetric accuracy of treatment planning for stereotactic body radiation therapy of lung cancer using average and maximum intensity projection images. Radiother Oncol. 2010;96:48–54.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

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Volume 4, Issue 4, March-April-2018

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Research Articles

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[1]
Vaibhav R Mhatre, Pragya Shree, Sandeep Patil, Rajkumar Chauhan, Vadivel Muthu, Ajay Sharma, Shaju Pilakkal, Rohit Chauhan, " Comparison of ITV Delineation using Intensity Projections Methods for Eclipse and iPlan Treatment Planning System : A Phantom Study, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.1008-1014, March-April-2018.