Quantitative analysis of the factors which affect the interpatient organ-At-risk dose sparing variation in IMRT plans

Medical Physics

Volumn 39, Issue 11, 2012, Pages 6868-6878

  Yuan, Lulin ^a   Ge, Yaorong ^b   Lee, W Robert ^a   Yin, Fang Fang ^a   Kirkpatrick, John P ^a   Wu, Q Jackie ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b WAKE FOREST UNIVERSITY HEALTH SCIENCES   (United States)

Author keywords

feature modeling; IMRT; plan quality evaluation; treatment planning

Indexed keywords

DOSIMETRY; ELECTRIC SWITCHBOARDS; ERRORS; GRAPHIC METHODS; QUALITY CONTROL; RADIATION EFFECTS; RADIOTHERAPY; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL TESTS; UROLOGY;

DETERMINATION COEFFICIENTS; FEATURE MODELING; FIRST PRINCIPAL COMPONENTS; IMRT; INTENSITY-MODULATED RADIATION THERAPY; PLAN QUALITY; STEPWISE MULTIPLE REGRESSION; TREATMENT PLANNING;

FACTOR ANALYSIS;

EID: 84868574970     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4757927     Document Type: Article

References (20)

1. X. Zhu, Y. Ge, T. Li, D. Thongphiew, F.-F. Yin, and Q. J. Wu, A planning quality evaluation tool for prostate adaptive IMRT based on machine learning., Med. Phys. 38, 719-726 (2011). 10.1118/1.3539749
2. P. Simari, B. Wu, R. Jacques, A. King, T. McNutt, R. Taylor, and M. Kazhdan, A statistical approach for achievable dose querying in IMRT planning., in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, edited by, T. Jiang, N. Navab, J. Pluim, and, M. Viergever, (Springer, Berling, 2010), Vol. 6363, pp. 521-528.
3. L. Yuan, Y. Ge, T. Li, X. Zhu, F. Yin, and Q. Wu, TH-E-BRB-05: Modeling the correlation between OAR dose sparing and patients anatomy in head and neck IMRT., Med. Phys. 38, 3867 (2011). 10.1118/1.3613562
4. T. R. Mackie, T. W. Holmes, P. J. Reckwerdt, and J. Yang, Tomotherapy: Optimized planning and delivery of radiation therapy., Int. J. Imaging Syst. Technol. 6, 43-55 (1995). 10.1002/ima.1850060107
5. B. Mathayomchan, Multiobjective Approach to Morphological Based Radiation Treatment Planning (PhD Thesis). Case Western Reserve University, Cleveland, OH, 2006.
6. M. A. Hunt, A. Jackson, A. Narayana, and N. Lee, Geometric factors influencing dosimetric sparing of the parotid glands using IMRT., Int. J. Radiat. Oncol., Biol., Phys. 66, 296-304 (2006). 10.1016/j.ijrobp.2006.05.028
7. N. Reddy, D. Nori, H. Chang, C. S. Lange, and A. Ravi, Prostate and seminal vesicle volume based consideration of prostate cancer patients for treatment with 3D-conformal or intensity-modulated radiation therapy., Med. Phys. 37, 3791-3801 (2010). 10.1118/1.3451125
8. K. L. Moore, R. S. Brame, D. A. Low, and S. Mutic, Experience-based quality control of clinical intensity-modulated radiotherapy planning., Int. J. Radiat. Oncol., Biol., Phys. 81, 545-551 (2011). 10.1016/j.ijrobp.2010.11.030
9. B. Wu, F. Ricchetti, G. Sanguineti, T. McNutt, M. Kazhdan, P. Simari, M. Chuang, R. Taylor, and R. Jacques, Patient geometry-driven information retrieval for IMRT treatment plan quality control., Med. Phys. 36, 5497-5505 (2009). 10.1118/1.3253464
10. J. O. Deasy, V. Moiseenko, L. Marks, K. S. C. Chao, J. Nam, and A. Eisbruch, Radiotherapy dose-volume effects on salivary gland function., Int. J. Radiat. Oncol., Biol., Phys. 76, S58-S63 (2010). 10.1016/j.ijrobp.2009.06.090
11. X. Zhu, T. Li, F.-F. Yin, Q. J. Wu, and Y. Ge, Response to Comment on A planning quality evaluation tool for prostate adaptive IMRT based on machine learning' [Med. Phys. 38, 719 (2011)]., Med. Phys. 38, 2821-2821 (2011). 10.1118/1.3578613
12. S. F. Petit, B. Wu, M. Kazhdan, A. Dekker, P. Simari, R. Kumar, R. Taylor, J. M. Herman, and T. McNutt, Increased organ sparing using shape-based treatment plan optimization for intensity modulated radiation therapy of pancreatic adenocarcinoma., Radiother.Oncol. 102, 38-44 (2012). 10.1016/j.radonc.2011.05.025
13. M. Sohn, M. Alber, and D. Yan, Principal component analysis-based pattern analysis of dose-volume histograms and influence on rectal toxicity., Int. J. Radiat. Oncol., Biol., Phys. 69, 230-239 (2007). 10.1016/j.ijrobp.2007.04.066
14. J. Neter, M. H. Kutner, C. J. Nachtsheim, and W. Wasserman, Applied Linear Regression Models (Irwin, Homewood, IL, 1996).
15. R. Johnson and D. Wichern, Applied Multivariate Statistical Analysis (Pearson Prentice-Hall, Englewood Cliffs, NJ, 2002).
16. B. Wu, F. Ricchetti, G. Sanguineti, M. Kazhdan, P. Simari, R. Jacques, R. Taylor, and T. McNutt, Data-driven approach to generating achievable dose-volume histogram objectives in intensity-modulated radiotherapy planning., Int. J. Radiat. Oncol., Biol., Phys. 79, 1241-1247 (2011). 10.1016/j.ijrobp. 2010.05.026
17. X. Zhang, X. Li, E. M. Quan, X. Pan, and Y. Li, A methodology for automatic intensity-modulated radiation treatment planning for lung cancer., Phys. Med. Biol. 56, 3873-3893 (2011). 10.1088/0031-9155/56/13/009
18. P. W. J. Voet, M. L. P. Dirkx, S. Breedveld, D. Fransen, P. C. Levendag, and B. J. M. Heijmen, Toward fully automated multicriterial plan generation: A prospective clinical study., Int. J. Radiat. Oncol., Biol., Phys. (in press). 10.1016/j.ijrobp.2012.04.015
19. J. Berger, ROENTGEN: Case-based reasoning and radiation therapy planning., Proc. Annu. Symp. Comput. Appl. Med. Care 1992, 210-214.
20. V. Chanyavanich, S. K. Das, W. R. Lee, and J. Y. Lo, Knowledge-based IMRT treatment planning for prostate cancer., Med. Phys. 38, 2515-2522 (2011). 10.1118/1.3574874