Study of Robustness of IMPT and IMRT for Prostate Cancer Against Organ Movement

International Journal of Radiation Oncology Biology Physics

Volumn 75, Issue 3, 2009, Pages 941-949

  Soukup, Martin ^a,b   Söhn, Matthias ^a   Yan, Di ^c   Liang, Jian ^c   Alber, Markus ^a  

^a UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

^b CMS GmbH   (Germany)

^c WILLIAM BEAUMONT HOSPITAL   (United States)

Author keywords

Intensity modulated radiotherapy; Monte Carlo; organ motion; prostate cancer; proton therapy

Indexed keywords

INTENSITY-MODULATED RADIOTHERAPY; MONTE CARLO; ORGAN MOTION; PROSTATE CANCER; PROTON THERAPY;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; MONTE CARLO METHODS; PROTON BEAMS; PROTONS; RADIOTHERAPY;

PHYSICAL THERAPY;

ARTICLE; CASE REPORT; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DOSIMETRY; HUMAN; INTENSITY MODULATED RADIATION THERAPY; PRIORITY JOURNAL; PROSTATE CANCER; RADIATION DOSE DISTRIBUTION; RECTUM; TREATMENT PLANNING; TUMOR VOLUME;

ALGORITHMS; GASES; HUMANS; MALE; MONTE CARLO METHOD; MOVEMENT; PHOTONS; PHYSICS; PROSTATIC NEOPLASMS; PROTONS; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED; RECTUM; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; TUMOR BURDEN; URINARY BLADDER;

EID: 70349556444     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2009.04.032     Document Type: Article

References (27)

1. Lomax A. Intensity modulation methods for proton radiotherapy. Phys Med Biol 44 (1999) 185-205
2. Lomax A. Intensity modulated proton therapy and its sensitivity to treatment uncertainties 2: The potential effects of inter-fraction and inter-field motions. Phys Med Biol 53 (2008) 1043-1056
3. Cella L., Lomax A., and Miralbell R. Potential role of intensity modulated proton beams in prostate cancer radiotherapy. Int J Radiat Oncol Biol Phys 49 (2001) 217-223
4. Mock U., Bogner J., Georg D., et al. Comparative treatment planning on localized prostate carcinoma conformal photon- versus proton-based radiotherapy. Strahlenther Onkol 181 (2005) 448-455
5. Schneider U., Lomax A., Pemler P., et al. The impact of IMRT and proton radiotherapy on secondary cancer incidence. Strahlenther Onkol 182 (2006) 647-652
6. Trofimov A., Nguyen P.L., Coen J.J., et al. Radiotherapy treatment of early-stage prostate cancer with IMRT and protons: A treatment planning comparison. Int J Radiat Oncol Biol Phys 69 (2007) 444-453
7. Zhang X., Dong L., Lee A.K., et al. Effect of anatomic motion on proton therapy dose distributions in prostate cancer treatment. Int J Radiat Oncol Biol Phys 67 (2007) 620-629
8. Muzik J., Soukup M., and Alber M. Comparison of fixed-beam IMRT, helical tomotherapy, and IMPT for selected cases. Med Phys 35 (2008) 1580-1592
9. Vargas C., Fryer A., Mahajan C., et al. Dose-volume comparison of proton therapy and intensity-modulated radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys 70 (2008) 744-751
10. Goitein M. A technique for calculating the influence of thin inhomogeneities on charged particle beams. Med Phys 5 (1978) 258-264
11. Goitein M., Chen G., Ting J., et al. Measurements and calculations of the influence of thin inhomogeneities on charged particle beams. Med Phys 5 (1978) 265-273
12. Slater J., Yonemoto L., Rossi C., et al. Conformal proton therapy for prostate carcinoma. Int J Radiat Oncol Biol Phys 42 (1998) 299-304
13. Yan D., Lockman D., Brabbins D., et al. An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process for prostate cancer. Int J Radiat Oncol Biol Phys 48 (2000) 289-302
14. Alber M., Birkner M., Laub W., et al. Hyperion-An integrated IMRT planning tool, Proceedings of the 13th international conference on the use of computers in radiation therapy (2000), Springer, Heidelberg p. 46-48
15. Söhn M., Yan D., Liang J., et al. Incidence of late rectal bleeding in high-dose conformal radiotherapy of prostate cancer using equivalent uniform dose-based and dose-volume-based normal tissue complication probability models. Int J Radiat Oncol Biol Phys 67 (2007) 1066-1073
16. Alber M., and Nuesslin F. An objective function for radiation treatment optimization based on local biological measures. Phys Med Biol 44 (1999) 479-493
17. Birkner M., Yan D., Alber M., et al. Adapting inverse planning to patient and organ geometrical variation: algorithm and implementation. Med Phys 40 (2003) 2822-2831
18. Alber M., and Reemtsen R. Intensity modulated radiotherapy treatment planning by use of a barrier-penalty multiplier method. Optim Methods Softw 22 (2007) 391-411
19. Yan D., Jaffray D.A., and Wong J.W. A model to accumulate fractionated dose in a deforming organ. Int J Radiat Oncol Biol Phys 44 (1999) 665-675
20. Albertini F., Lomax A.J., and Hug E.B. In regard to Trofimov et al: Radiotherapy treatment of early-stage prostate cancer with IMRT and protons: A treatment planning comparison (Int J Radiat Oncol Biol Phys 2007;69:444-453). Int J Radiat Oncol Biol Phys 69 (2007) 1333-1334
21. Soukup M., Fippel M., and Alber M. A pencil beam algorithm for intensity modulated proton therapy derived from Monte Carlo simulations. Phys Med Biol 50 (2005) 5089-5104
22. Fippel M., and Soukup M. A Monte Carlo dose calculation algorithm for proton therapy. Med Phys 31 (2004) 2263-2273
23. Soukup M., and Alber M. Influence of dose engine accuracy on the optimum dose distribution in intensity-modulated proton therapy treatment plans. Phys Med Biol 52 (2007) 725-740
24. Fippel M. Fast Monte Carlo dose calculation for photon beams based on VMC electron algorithm. Med Phys 26 (1999) 1466-1475
25. Sikora M., Dohm O., and Alber M. A virtual photon source model of an Elekta linear accelerator with integrated mini MLC for Monte Carlo based IMRT dose calculation. Phys Med Biol 52 (2007) 4449-4463
26. Baum C., Alber M., Birkner M., et al. Robust treatment planning for intensity modulated radiotherapy of prostate cancer based on coverage probabilities. Radiother Oncol 78 (2006) 27-35
27. Lomax A. Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: The potential effects of calculational uncertainties. Phys Med Biol 53 (2008) 1027-1042