Radiotherapy & Oncology
Volume 88, Issue 3 , Pages 310-318 , September 2008

Treatment planning comparison between conformal radiotherapy and helical tomotherapy in the case of locally advanced-stage NSCLC

  • Giovanni Mauro Cattaneo

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy
    • Corresponding Author InformationCorresponding author. Giovanni Mauro Cattaneo, Ospedale San Raffaele, Servizio di Fisica Sanitaria, HS Raffaele, 20182 Milano, Italy.
    • ,
  • Italo Dell’Oca

      Affiliations

    • Radiation Oncology, University of Milano Bicocca, Milano, Italy
    • ,
  • Sara Broggi

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy
    • ,
  • Claudio Fiorino

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy
    • ,
  • Lucia Perna

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy
    • ,
  • Marcella Pasetti

      Affiliations

    • Radiation Oncology, University of Milano Bicocca, Milano, Italy
    • ,
  • Giulia Sangalli

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy
    • ,
  • Nadia di Muzio

      Affiliations

    • Radiation Oncology, University of Milano Bicocca, Milano, Italy
    • ,
  • Ferruccio Fazio

      Affiliations

    • Radiation Oncology, University of Milano Bicocca, Milano, Italy
    • INB-CNR, University of Milano Bicocca, Milano, Italy
    • ,
  • Riccardo Calandrino

      Affiliations

    • Medical Physics, University of Milano Bicocca, Milano, Italy

Received 30 April 2008 ,Revised 11 June 2008 ,Accepted 19 June 2008.

References 

  1. AAPM Report No. 85. Tissue inhomogeneity corrections for megavoltage photon beams. Medical Physics Publishing; 2004.
  2. Arriagada R, Komaki R, Cox JD. Radiation dose escalation in non small carcinoma of the lung. Semin Radiat Oncol. 2004;14:287–291
  3. Belderbos J, Heemsbergen W, Hoogeman M, et al. Acute esophageal toxicity in non-small cell lung cancer patients after high dose conformal radiotherapy. Radiother Oncol. 2005;75:157–164
  4. Bosmans G, Bruijsen J, Dekker A, et al. An “in silico” clinical trial comparing free breathing, slow and respiration correlated computed tomography in lung cancer patients. Radiother Oncol. 2006;81:73–80
  5. Bortfeld T, Jiang SB, Rietzel E. Effects of motion on the total dose distribution. Semin Radiat Oncol. 2004;14:41–51
  6. Bradley J, Thorstad WL, Mutic S, et al. Impact of FDG-PET on radiation therapy volume delineation in non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2004;59:78–86
  7. Bragg CM, Wingate K, Conway J. Clinical implications of the anisotropic analytical algorithm for IMRT treatment planning and verification. Radiother Oncol. 2008;86:276–286
  8. Burman C, Kutcher GJ, Emami B, Goitein M. Fitting of normal tissue tolerance data to an analytic function. Int J Radiat Oncol Biol Phys. 1991;21:123–135
  9. Byhardt RW, Scott C, Sause WT, et al. Response, toxicity, failure patterns, and survival in five Radiation Therapy Oncology Group (RTOG) trials of sequential and/or concurrent chemotherapy and radiotherapy for locally advanced non-small-cell carcinoma of the lung. Int J Radiat Oncol Biol Phys. 1998;42:469–476
  10. Ceresoli GL, Cattaneo GM, Castellone P, et al. Role of computed tomography and 18FDG PET image fusion in conformal radiotherapy of NSCLC: a comparison with standard techniques with and without elective nodal irradiation. Tumori. 2007;93:88–96
  11. Cozzi L, Clivio A, Bauman G, Cora S, Nicolini G, Pellegrini R, et al. Comparison of advanced irradiation techniques with photons for benign intracranial tumors. Radiother Oncol. 2006;80:268–273
  12. Curran W, Scott C, Langer C. Phase III comparison of sequential versus concurrent chemoradiation for patients with unresected stage III non-small cell lung cancer: report of Radiation Therapy Oncology Group 9410, 9th world conference on lung cancer. Lung Cancer 2000;29–93.
  13. De Jaeger K, Hoogeman MS, Engelsman M, et al. Incorporating an improved dose-calculation algorithm in conformal radiotherapy of lung cancer: re-evaluation of dose in normal lung tissue. Radiother Oncol. 2003;69:1–10
  14. Ding GH, Duggan DM, Lu B, et al. Impact of inhomogeneity corrections on dose coverage in the treatment of lung cancer using stereotactic body radiation therapy. Med Phys. 2007;34:2985–2994
  15. Emami B, Lyman J, Brown A, et al. Tolerance of normal tissue to therapeutic irradiation. Int J Radiat Oncol Biol Phys. 1991;21:109–122
  16. Fiorino C, Dell’Oca I, Pierelli A, Broggi S, De Martin E, Di Muzio N, et al. Significant improvement in normal tissue sparing and target coverage for head and neck cancer by means of helical tomotherapy. Radiother Oncol. 2006;78:276–282
  17. Fowler JF, Chappel R. Non-small cell lung tumors repopulate rapidly during radiation therapy. Int J Radiat Oncol Biol Phys. 1996;46:516–517[Letter to the editor]
  18. Fogliata A, Nicolini G, Vanetti E, Clivio A, Cozzi L. Dosimetric validation of the anisotropic analytical algorithm for photon dose calculation: fundamental characterization in water. Phys Med Biol. 2006;51:1421–1438
  19. Fogliata A, Vanetti E, Albers D, et al. On the dosimetric behavior of photon dose calculation algorithms in the presence of simple geometric heterogeneities: comparison with Monte Carlo calculations. Phys Med Biol. 2007;53:1363–1385
  20. Furuse K, Fukuoka M, Kawahara M, et al. Phase III study of concurrent versus sequential thoracic radiotherapy in combination with mitomycin, vindesine and cisplatin in unresectable stage III non-small cell lung cancer. J Clin Oncol. 1999;17:2692–2699
  21. Gagliardi G, Lax I, Rutqvist LE. Partial irradiation of the heart. Semin Radiat Oncol. 2001;11:224–233
  22. Gould MK, Maclean CC, Kuschner WG, et al. Accuracy of PET for diagnosis of pulmonary nodules and mass lesions: a meta analysis. JAMA. 2001;285:914–924
  23. Grills IS, Yan D, Martinez AA, et al. Potential for reduced toxicity and dose escalation in the treatment of inoperable non-small-cell lung cancer: a comparison of intensity-modulated radiation therapy (IMRT), 3D conformal radiation, and elective nodal irradiation. Int J Radiat Oncol Biol Phys. 2003;57:875–890
  24. Iori M, Cattaneo GM, Cagni E, Fiorino C, Borasi G, Calandrino R, et al. Dose–volume and biological-model based comparison between helical tomotherapy and (inverse-planned) IMAT for prostate tumours. Radiother Oncol. 2008;88:34–45
  25. Jeremic B, Shibamoto Y, Acimovic L, et al. Randomized trial of hyperfractionated radiation therapy with or without concurrent chemotherapy for stage III non-small cell lung cancer. J Clin Oncol. 1995;13:452–458
  26. Jeremic K, Fukuoka M, Kawahara M, et al. Phase III study of concurrent versus sequential thoracic radiotherapy in combination with mitomycin, vindesine and cisplatin in unresectable stage III non-small cell lung cancer. J Clin Oncol. 1999;17:2692–2699
  27. Källman P, Agren A, Brahme A. Tumor and normal tissue responses to fractionated non uniform dose delivery. Int J Radiat Oncol Biol Phys. 1992;62:249–262
  28. Kanagaki B, Read PW, Molloy JA, et al. A motion phantom study on helical tomotherapy: the dosimetric impacts of delivery technique and motion. Phys Med Biol. 2007;52:243–255
  29. Knöös T, Wieslander E, Cozzi L, et al. Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations. Phys Med Biol. 2006;51:5785–5807
  30. Kong FM, Pan C, Eisbruch A, Ten Haken R. Physical models and simpler dosimetric descriptors of radiation late toxicity. Semin Radiat Oncol. 2007;17:108–120
  31. Kron T, Grigorof G, Yu E, et al. Planning evaluation of radiotherapy for complex lung cancer cases using helical tomotherapy. Phys Med Biol. 2004;49:3675–3695
  32. Kutcher GJ, Burman C, Brewster L, et al. Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluation. Int J Radiat Oncol Biol Phys. 1991;21:137–147
  33. Le Chevalier T, Arriagada R, Quoix E, et al. Radiotherapy alone versus combined chemotherapy and radiotherapy in nonresectable non-small cell lung cancer. First analysis of randomizes trial in 353 patients. J Natl Cancer Inst. 1991;83:417–423
  34. Liu HH, Wang X, Dong L, et al. Feasibility of sparing lung and other thoracic structures with intensity-modulated radiotherapy for non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2004;58:1268–1279
  35. Lyman JT. Complication probability as assessed from dose–volume histograms. Radiat Res Suppl. 1985;8:S13–S19
  36. Mackie TR, Holmes RW, Swedloff S, et al. Tomotherapy: a new concept for delivery of conformal radiotherapy. Med Phys. 1993;20:1709–1719
  37. Mackie TR, Olivera GH, Reckwerdt PJ, Shepard DM. Convolution/superposition photon dose calculation. In: Shui AS, Mellenberg DE, editors. General practice of radiation oncology physics in the 21st century. Madison (WI): Published for AAPM by Medical Physics Publishing; 2000. p. 39–56.
  38. Martel MK, Ten Haken RR, Hazuka MB, et al. Estimation of tumor control probability model parameters from 3D dose distributions of non-small cell lung cancer patients. Lung Cancer. 1999;24:31–37
  39. Mehta M, Scrimger R, Mackie RT, et al. A new approach to dose escalation in non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2001;49:23–33
  40. Messa C, Ceresoli GL, Rizzo G, Artioli D, Cattaneo GM, et al. Feasibility of [18F]FDG-PET and co-registered CT on clinical target volume definition of advanced non-small cell lung cancer. Q J Nucl Med Mol Imaging. 2005;49:259–266
  41. Morgan AM, Knöös T, NcNee SG, Evans CJ, Thwaites DI. Clinical implications of the implementation of advanced treatment planning algorithms for thoracic treatments. Radiother Oncol. 2008;86:48–54
  42. Murshed H, Liu HH, Liao Z, et al. Dose and volume reduction for normal lung using intensity-modulated radiotherapy for advanced-stage non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2004;58:1258–1267
  43. Nestle U, Kremp S, Grosu AL. Practical integration of [18F]-FDG-PET and PET-CT in the planning of radiotherapy for NSCLC: the technical basis, ICRU-target volumes, problems, perspectives. Radiother Oncol. 2006;81:209–225
  44. Penland SK, Socinski MA. Management of unresectable stage III NSCLC: the role of combined chemoradiation. Semin Radiat Oncol. 2004;326–334
  45. Rancati T, Ceresoli GL, Gagliardi G, Schipani S, Cattaneo GM. Factors predicting radiation pneumonitis in lung cancer patients: a retrospective study. Radiother Oncol. 2003;67:275–283
  46. Rizzo G, Cattaneo GM, Castellone P, et al. Multi-modal medical image integration to optimize radiotherapy planning in lung cancer treatment. Ann Biomed Eng. 2004;32:1399–1408
  47. Rodrigues G, Lock M, D’Souza D, et al. Prediction of radiation pneumonitis by dose–volume histogram parameters in lung cancer: a systematic review. Radiother Oncol. 2004;71:127–138
  48. Rodrigues G, Yartsev S, Chen J, Wong E, D’Souza D, Lock M, et al. A comparison of prostate IMRT and helical tomotherapy class solutions. Radiother Oncol. 2006;80:374–377
  49. Sanchez-Nieto B, Nahum AE. BIOPLAN: software for the biological evaluation of radiotherapy treatment plans. Med Dosim. 2000;25:71–76
  50. Schwarz M, Van der Geer J, van Herk M, et al. Impact of geometrical uncertainties on 3D CRT and IMRT dose distributions for lung cancer treatment. J Radiat Oncol Biol Phys. 2006;56:1260–1269
  51. Scrimger RA, Tomé WA, Olivera GH, et al. Reduction in radiation doses to lung and other normal tissues using helical tomotherapy to treat lung cancer, in comparison to conventional field arrangements. Am J Clin Oncol. 2003;26:70–78
  52. Senan S, De Ruysscher D, Giraud P, et al. Literature-based recommendations for treatment planning and execution in high-dose radiotherapy for lung cancer. Radiother Oncol. 2004;71:139–146
  53. Seppenwoolde Y, Lebesque JV, de Jaeger K, et al. Comparing different NTCP models that predict the incidence of radiation pneumonitis. NTCP. Int J Radiat Oncol Biol Phys. 2003;55:724–735
  54. Singh AK, Lockett MA, Bradley JD. Predictor of radiation-induced esophageal toxicity in patients with NSCLC treated with three-dimensional conformal radiotherapy. Int J Radiat Oncol Biol Phys. 2003;55:337–341
  55. Sterpin E, Tomsej M, De Smedt B, et al. Monte Carlo evaluation of the AAA treatment planning algorithm in a heterogeneous multiplayer phantom and IMRT clinical treatments for an Elekta SL25 linear accelerator. Med Phys. 2007;34:1665–1677
  56. Sterzing F, Sroka-Perez G, Schubert K, Münter MW, Thieke C, Huber P, et al. Evaluating target coverage and normal tissue sparing in the adjuvant radiotherapy of malignant pleural mesothelioma: helical tomotherapy compared with step-and-shoot IMRT. Radiother Oncol. 2008;86:251–257
  57. Tomé WA, Jaradat HA, Nelson IA, et al. Helical tomotherapy: image guidance and adaptive dose guidance. Front Radiat Ther Oncol. 2007;40:162–178
  58. Ulmer W, Pyyry J, Kaissl W. A 3D photon superposition/convolution algorithm and its foundation on results of Monte Carlo calculations. Phys Med Biol. 2005;50:1767–1790
  59. Van Baardwijk A, Baumert BG, Bosmans G, et al. The current status of FDG-PET in tumour volume definition in radiotherapy treatment planning. Cancer Treat Rev. 2006;32:245–260
  60. Vanderstraeten B, Reynaert N, Paelinck L, et al. Accuracy of patient dose calculation for lung IMRT: a comparison of Monte Carlo, convolution/superimposition, and pencil beam computations. Med Phys. 2006;33:3149–3158
  61. Van Esch A, Tillikainen L, Pyykkonen J, et al. Testing of the Analytical Anisotropic Algorithm for photon dose calculation. Med Phys. 2006;33:4130–4186
  62. Yang JN, Mackie TR, Reckwerdt P, et al. An investigation of tomotherapy beam delivery. Med Phys. 1997;24:425–436
  63. Yartsev S, Chen J, Yu E, et al. Comparative planning evaluation of intensity-modulated radiotherapy techniques for complex lung cancer cases. Radiother Oncol. 2006;78:169–176

PII: S0167-8140(08)00333-2

doi: 10.1016/j.radonc.2008.06.006

Radiotherapy & Oncology
Volume 88, Issue 3 , Pages 310-318 , September 2008

Article Tools

* Image Usage & Resolution