Visualization of a variety of possible dosimetric outcomes in radiation therapy using dose-volume histogram bands

Practical Radiation Oncology

Volumn 2, Issue 3, 2012, Pages 164-171

  Trofimov, Alexei ^a   Unkelbach, Jan ^a   DeLaney, Thomas F ^a   Bortfeld, Thomas ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DOSE VOLUME HISTOGRAM; DOSIMETRY; HISTOGRAM; INTENSITY MODULATED RADIATION THERAPY; INTERMETHOD COMPARISON; PRIORITY JOURNAL; PROBABILITY; RADIATION DOSE DISTRIBUTION; SENSITIVITY ANALYSIS; TREATMENT PLANNING;

EID: 84862668796     PISSN: 18798500     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.prro.2011.08.001     Document Type: Article

References (24)

1. Shipley W.U., Tepper J.E., Prout G.R., et al. Proton radiation as boost therapy for localized prostatic carcinoma. JAMA 1979, 241:1912-1915.
2. 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.
3. Bentzen S.M., Constine L.S., Deasy J.O., et al. Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues. Int J Radiat Oncol Biol Phys 2010, 76(3 suppl):S3-S9.
4. McCormick T., Dink D., Orcun S., et al. Target volume uncertainty and a method to visualize its effect on the target dose prescription. Int J Radiat Oncol Biol Phys 2004, 60:1580-1588.
5. Schaffner B., Pedroni E. The precision of proton range calculations in proton radiotherapy treatment planning: experimental verification of the relation between CT-HU and proton stopping power. Phys Med Biol 1998, 43:1579-1592.
6. Lomax A.J. Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties. Phys Med Biol 2008, 53:1027-1042.
7. Engelsman M., Rietzel E., Kooy H.M. Four-dimensional proton treatment planning for lung tumors. Int J Radiat Oncol Biol Phys 2006, 64:1589-1595.
8. Lomax A.J. Intensity modulated proton therapy and its sensitivity to treatment uncertainties 2: the potential effects of inter-fraction and inter-field motions. Phys Med Biol 2008, 53:1043-1056.
9. Maleike D., Unkelbach J., Oelfke U. Simulation and visualization of dose uncertainties due to interfractional organ motion. Phys Med Biol 2006, 51:2237-2252.
10. 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 2007, 67:620-629.
11. Mori S., Chen G.T. Quantification and visualization of charged particle range variations. Int J Radiat Oncol Biol Phys 2008, 72:268-277.
12. Alber M., Meedt G., Nüsslin F., Reemtsen R. On the degeneracy of the IMRT optimization problem. Med Phys 2002, 29:2584-2589.
13. Hong T.S., Craft D.L., Carlsson F., Bortfeld T.R. Multicriteria optimization in intensity-modulated radiation therapy treatment planning for locally advanced cancer of the pancreatic head. Int J Radiat Oncol Biol Phys 2008, 72:1208-1214.
14. Goitein M. Calculation of the uncertainty in the dose delivered during radiation therapy. Med Phys 1985, 12:608-612.
15. Unkelbach J., Chan T.C., Bortfeld T. Accounting for range uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2007, 52:2755-2773.
16. Pflugfelder D., Wilkens J.J., Oelfke U. Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2008, 53:1689-1700.
17. Unkelbach J., Martin B.C., Soukup M., Bortfeld T. Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning. Med Phys 2009, 36:149-163.
18. Trofimov A., Bortfeld T. Optimization of beam parameters and treatment planning for intensity modulated proton therapy. Technol Cancer Res Treat 2003, 2:437-444.
19. Trofimov A., Nguyen P.L., Efstathiou J.A., et al. Interfractional variations in the setup of pelvic bony anatomy and soft tissue, and their implications on the delivery of proton therapy for localized prostate cancer. Int J Radiat Oncol Biol Phys 2011, 80:928-937.
20. Bussière M.R., Adams A.A. Treatment planning for conformal proton radiation therapy. Technol Cancer Res Treat 2003, 2:389-399.
21. Kooy H.M., Clasie B.M., Lu H.M., et al. A case study in proton pencil-beam scanning delivery. Int J Radiat Oncol Biol Phys 2010, 76:624-630.
22. Albertini F., Hug E.B., Lomax A.J. The influence of the optimization starting conditions on the robustness of intensity-modulated proton therapy plans. Phys Med Biol 2010, 55:2863-2878.
23. Lomax A. Intensity modulation methods for proton radiotherapy. Phys Med Biol 1999, 44:185-205.
24. Deitrick S., Edsall R. The influence of uncertainty visualization on decision making: an empirical evaluation. Progress in spatial data handling 2006, 719-738. Springer, Berlin. A. Riedl, W. Kainz, G.A. Elmes (Eds.).