Seminars in Radiation Oncology
Volume 20, Issue 2 , Pages 130-137 , April 2010

Adaptive Radiation Therapy for Prostate Cancer

  • Michel Ghilezan, MD, PhD

      Affiliations

    • Corresponding Author InformationAddress reprint requests to Michel Ghilezan, MD, PhD, Department of Radiation Oncology, William Beaumont Hospitals and Research Institute, Royal Oak, MI 48073-6769
  • ,
  • Di Yan, DSc
  • ,
  • Alvaro Martinez, MD

References 

  1. De Crevoisier R, Tucker SL, Dong L, et al. Increased risk of biochemical and local failure in patients with distended rectum on the planning CT for prostate cancer radiotherapy. Int J Radiat Oncol Biol Phys. 2005;62:965–973
  2. Heemsbergen WD, Hoogeman MS, Witte MG, et al. Increased risk of biochemical and clinical failure for prostate patients with a large rectum at radiotherapy planning: Results from the Dutch trial of 68 Gy versus 78 Gy. Int J Radiat Oncol Biol Phys. 2007;67:1418–1424
  3. Yan D, Vicini F, Wong J, et al. Adaptive radiation therapy. Phys Med Biol. 1997;42:123–132
  4. Valicenti RK, Michalski JM, Bosch WR, et al. Is weekly port filming adequate for verifying patient position in modern radiation therapy. Int J Radiat Oncol Biol Phys. 1994;30:431–438
  5. Hunt MA, Schultheiss TE, Desobry GE. An evaluation of setup uncertainties for patients treated to pelvic sites. Int J Radiat Oncol Biol Phys. 1995;32:227–233
  6. Soffen EM, Hanks GE, Hwang CC, et al. Conformal static field therapy for low volume low-grade prostate cancer with rigid immobilization. Int J Radiat Oncol Biol Phys. 1990;20:141–146
  7. Song PY, Washington M, Vaida F, et al. A comparison of four patient immobilization devices in the treatment of prostate cancer patients with three-dimensional conformal radiotherapy. Int J Radiat Oncol Biol Phys. 1996;34:213–219
  8. Verhey L. Immobilization and positioning patients for radiotherapy. Semin Radiat Oncol. 1995;5:100–114
  9. Goitein M. Calculation of the uncertainty in the dose delivered during radiation therapy. Med Phys. 1985;12:608–612
  10. Kutcher GJ, Mageras GS, Leibel SA. Control, correction, and modeling of setup errors and organ motion. Semin Radiat Oncol. 1995;5:134–145
  11. Leong J. Implementation of random positioning error in computerized radiation treatment planning systems as a result of fractionation. Phys Med Biol. 1987;32:327–334
  12. Urie MM, Goitein M, Doppke K, et al. The role of uncertainty analysis in treatment planning. Int J Radiat Oncol Biol Phys. 1991;21:91–107
  13. Bel A, Van Herk M, Bartelink H, et al. A verification procedure to improve patient setup accuracy using portal images. Radiol Oncol. 1993;29:253–260
  14. Denham JW, Dally MJ, Hunter K, et al. Objective decision-making following a portal film: The results of a pilot study. Int J Radiat Oncol Biol Phys. 1993;26:869–876
  15. Dutreix A, van der Schueren E, Leunens L. Quality control at the patient level: Action or retrospective introspection. Radiol Oncol. 1992;25:146–147
  16. Yan D, Wong J, Gustafson G, et al. A new model for “accept or reject” strategies in off-line and on-line megavoltage treatment evaluation. Int J Radiat Oncol Biol Phys. 1995;31:943–952
  17. Tinger A, Michalski JM, Cheng A, et al. A critical evaluation of the planning target volume for 3-D conformal radiotherapy of prostate cancer. Int J Radiat Oncol Biol Phys. 1998;42:213–221
  18. Rasch C, Steenbakkers R, Van Herk M. Target definition in prostate, head, and neck. Semin Radiat Oncol. 2005;15:135–145
  19. Dearnaley DP, Hall E, Lawrence D, et al. Phase III pilot study of dose escalation using conformal radiotherapy in prostate cancer: PSA control and side effects. Br J Cancer. 2005;92:488–498
  20. Niemierko A. Target dose inhomogeneity and the location recurrence. Int J Radiat Oncol Biol Phys. 2002;54(suppl):128;(abstr)
  21. Yan D, Wong J, Vicini F, et al. Adaptive modification of treatment planning to minimize the deleterious effects of treatment setup errors. Int J Radiat Oncol Biol Phys. 1997;38:197–206
  22. Yan D, Lockman D, Brabbins D, et al. An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process of prostate cancer. Int J Radiat Oncol Biol Phys. 2000;48:289–302
  23. Martinez A, Yan D, Brabbins D, et al. Improvement in dose escalation using the process of adaptive radiotherapy combined with 3D-conformal or intensity modulated beams for prostate cancer. Int J Radiat Oncol Biol Phys. 2001;50:1226–1234
  24. Wloch J, Yan D, Brabbins D, et al. Quality control for image guided radiotherapy prostate cancer. (abstr) Int J Radiat Oncol Biol Phys. 2007;69(suppl):S20
  25. Hoogeman MS, van Herk M, de Bois J, et al. Strategies to reduce the systematic error due to tumor and rectum motion in radiotherapy of prostate cancer. Radiother Oncol. 2005;74:177–185
  26. Nuver TT, Hoogeman MS, Remeijer P, et al. An adaptive offline procedure for radiotherapy of prostate cancer. Int J Radiat Oncol Biol Phys. 2007;67:1559–1567
  27. Nijkamp JN, Pos FJ, Nuver TT, et al. Adaptive radiotherapy for prostate cancer using kilovoltage cone-beam computed tomography: First clinical results. Int J Radiat Oncol Biol Phys. 2008;70:75–82
  28. Birkner M, Yan D, Markus A, et al. Adapting inverse planning to patient and organ geometrical variation: Algorithm and implementation. Med Phys. 2003;30:2822–2831
  29. Rehbinder H, Forsgren C, Lof J. Adaptive radiation therapy for compensation of errors in patient setup and treatment delivery. Med Phys. 2004;31:3363–3371
  30. Unkelbach J, Oelfke U. Incorporating organ movements in IMRT treatment planning for prostate cancer: Minimizing uncertainties in the inverse planning process. Med Phys. 2005;32:2471–2483
  31. Baum C, Alber M, Birkner M. Robust treatment planning for intensity-modulated radiotherapy of prostate cancer based on coverage probabilities. Radiother Oncol. 2006;78:27–35
  32. Yan D, Birkner M, Nuesslin F. Improvement in dose escalation using off-line and on-line image feedback in the intensity modulated beam design for prostate cancer treatment. (abstr) Int J Radiat Oncol Biol Phys. 2001;51(suppl):91
  33. Brabbins D, Martinez A, Yan D, et al. A dose escalation trial using the adaptive radiotherapy process (ART) as a delivery system in localized prostate cancer: Analysis of chronic toxicity. Int J Radiat OncolBiol Phys. 2005;61:400–408
  34. Vargas C, Kestin L, Yan D, et al. Dose-volume analysis of predictors for chronic rectal toxicity following treatment of prostate cancer with adaptive image-guided radiotherapy. Int J Radiat Oncol Biol Phys. 2005;62:1297–1308
  35. Vargas C, Martinez AA, Yan D, et al. A phase II dose escalation study to image-guided adaptive radiotherapy for prostate cancer: Use of dose constraints to achieve rectal isotoxicity. Int J Radiat Oncol Biol Phys. 2005;63:141–149
  36. Harsolia A, Vargas C, Yan D, et al. Predictors for chronic urinary toxicity after the treatment for prostate cancer with adaptive 3-D conformal radiotherapy: Dose-volume analysis of a phase II dose escalation study. Int J Radiat Oncol Biol Phys. 2007;69:1100–1109
  37. Martinez A, Yan D, Brabbins D, et al. Acute and chronic toxicity of adaptive image guided radiation therapy delivery with 3D-conformal technique vs. intensity modulation in 728 prostate cancer patients (abstr). Int J Radiat Oncol Biol Phys. 2007;69(suppl):S317
  38. Brabbins D, Kestin L, Yan D, et al. Improvement in clinical outcomes with prostate radiotherapy at a single institute in the PSA era. (abstr) Int J Radiat Oncol Biol Phys. 2008;72(suppl):S318
  39. Ghilezan M, Yan D, Martinez A. Image-guided radiation therapy in prostate cancer: William Beaumont experience. In:  Valicenti RK,  Dicker AP,  Jaffray DA editor. Image-guided Radiation Therapy of Prostate Cancer. New York, NY: Information Healthcare; 2008;p. 113–126
  40. Zelefsky MJ, Leibel SA, Gaudin PB, et al. Dose escalation with three-dimensional conformal radiation therapy affects the outcome in prostate cancer. Int J Radiat Oncol Biol Phys. 1998;41:491–500
  41. Pollack A, Zagars GK, Smith LG, et al. Preliminary results of a randomized radiotherapy dose-escalation study comparing 70 Gy with 78 Gy for prostate cancer. J Clin Oncol. 2000;18:3904–3911
  42. Horwitz E, Hanlon A, Pinover W, et al. Defining the optimal radiation dose with three-dimensional conformal radiation therapy for patients with non-metastatic prostate carcinoma by using recursive partitioning techniques. Cancer. 2001;92:1281–1287
  43. McGrath S, Kestin L, Dilworth J, et al. Adaptive image-guided radiotherapy to correct for rectal distention in prostate cancer: Five-year biochemical and rectal toxicity outcomes. (abstr) Int J Radiat Oncol Biol Phys. 2008;72(suppl):S324
  44. Jaffray DA, Wong JW. Exploring “target of the day” strategies for a medical linear accelerator with cone-beam CT scanning capabilities. In: Presented at the Proceedings of the XII International Conference on the Use of Computers in Radiation Therapy, Heidelberg, Germany. 1997;p. 172–175
  45. Jaffray DA, Drake DG, Moreau M, et al. A radiographic and tomographic imaging system integrated into a medical linear accelerator for localization of bone and soft-tissue targets. Int J Radiat Oncol Biol Phys. 1999;45:773–789
  46. Letourneau D, Martinez A, Lockman D, et al. Assessment of residual error for online cone-beam CT-guided treatment of prostate cancer patients. Int J Radiat Oncol Biol Phys. 2005;62:1239–1246
  47. Feng Y, Castro-Pareja C, Shekhar R, et al. Direct aperture deformation: An interfraction image guidance strategy. Med Phys. 2006;33:4490–4498
  48. Court LE, Dong L, Lee AK, et al. An automatic CT-guided adaptive radiation therapy technique by online modification of multileaf collimator leaf positions for prostate cancer. Int J Radiat Oncol Biol Phys. 2005;62:154–163
  49. Wu C, Jeraj R, Olivera GH. Re-optimization in adaptive radiotherapy. Phys Med Biol. 2002;47:3181–3195
  50. Ghilezan M, Yan D, Liang J, et al. Online image-guided intensity-modulated radiotherapy for prostate cancer: How much improvement can we expect? (A theoretical assessment of clinical benefits and potential dose escalation by improving precision and accuracy of radiation delivery). Int J Radiat Oncol Biol Phys. 2004;60:1602–1610
  51. Derek S, Liang J, Yan D, et al. Comparison of various online IGRT strategies: The benefits of online treatment plan re-optimization. Radiol Oncol. 2009;90:367–376
  52. Wu Q, Liang J, Yan D. Application of dose compensation in image-guided radiotherapy of prostate cancer. Phys Med Biol. 2006;51:1405–1419
  53. Adamson J, Wu Q, Yan D. A hybrid strategy using discriminant analysis for prostate intrafraction motion management. (abstr) Med Phys. 2009;36:2726
  54. Yan D, Birknner M, Liang J, et al. Strategies for off-line and on-line image feedback adaptive radiotherapy (Biological and physical basis of IMRT and Tomotherapy). In: Presented at the Proceedings of AAPM Symposium (No. 12), Montreal, Canada. 2002;p. 139–150
  55. Zhang P, Liang J, Yan D. Evaluation of online image guided adaptive inverse planning methodology. Int J Radiat Oncol Biol Phys. 2007;69(suppl):S641;(abstr)
  56. Liang J, Wu Q, Yan D. The role of seminal vesicle motion target margin assessment for online image-guided radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys. 2009;73:935–943
  57. Yan D. On-line adaptive strategy for dose per fraction design. In: Presented at the Proceedings of the XIIIth International Conference on the Use of Computers in Radiotherapy, Heidelberg, Germany. 2000;p. 518–520
  58. Lagendijk J, Raaijmakers AJ, Overweg J, et al. MR-XRT at 1.5T, the UMC Utrecht hybrid MRI linac system. (abstr) Med Phys. 2009;36:2775
  59. Chao KK, Goldstein NS, Carlos E. Clinicopathologic analysis of extracapsular extension in prostate cancer: Should the clinical target volume be expanded posterolaterally to account for microscopic extension?. Int J Radiat Oncol Biol Phys. 2006;65:999–1007

 Clinical translational research of adaptive radiotherapy for prostate cancer in Radiation Oncology, William Beaumont Hospitals has been supported in part by NCI, Grants: R29 CA71785, R01 CA118037, R01 CA091020, R21 CA130330, and US Army Medical Research, Grants: PC970201, PC061209.

 Department of Radiation Oncology in William Beaumont Hospital receives research and development grants from ELEKTA Oncological System and Philips Radiation Oncological System.

PII: S1053-4296(09)00081-2

doi: 10.1016/j.semradonc.2009.11.007

Seminars in Radiation Oncology
Volume 20, Issue 2 , Pages 130-137 , April 2010