Knowledge-based IMRT treatment planning for prostate cancer

Medical Physics

Volumn 38, Issue 5, 2011, Pages 2515-2522

  Chanyavanich, Vorakarn ^a   Das, Shiva K ^a   Lee, William R ^a   Lo, Joseph Y ^a,b  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b Duke University   (United States)

Author keywords

IMRT; knowledge based; mutual information; treatment planning

Indexed keywords

DISEASES; INFORMATION THEORY; QUERY PROCESSING; RADIOTHERAPY; STATISTICS; UROLOGY;

IMRT; INTENSITY-MODULATED RADIATION THERAPY; KNOWLEDGE BASED; KNOWLEDGE-BASED APPROACH; MEAN AND STANDARD DEVIATIONS; MUTUAL INFORMATIONS; PLANNING TARGET VOLUMES; TREATMENT PLANNING;

KNOWLEDGE BASED SYSTEMS;

EID: 79959571371     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3574874     Document Type: Article

References (26)

1. A. Jemal, R. Siegel, E. Ward, Y. Hao, J. Xu, and M. J. Thun, Cancer statistics, 2009., CA Cancer J. Clin. 59, 225-249 (2009). 10.3322/caac.20006
2. O. Cahlon, M. Hunt, and M. J. Zelefsky, Intensity-modulated radiation therapy: Supportive data for prostate cancer., Semin. Radiat. Oncol. 18, 48-57 (2008). 10.1016/j.semradonc.2007.09.007 (Pubitemid 350235956)
3. S. Webb, Intensity-Modulated Radiation Therapy (Institute of Physics Publishing, BristolPhiladelphia, 2001).
4. D. Djajaputra, Q. Wu, Y. Wu, and R. Mohan, Algorithm and performance of a clinical IMRT beam-angle optimization system., Phys. Med. Biol. 48, 3191-3212 (2003). 10.1088/0031-9155/48/19/007 (Pubitemid 37258363)
5. A. Pugachev, J. G. Li, A. L. Boyer, S. L. Hancock, Q. T. Le, S. S. Donaldson, and L. Xing, Role of beam orientation optimization in intensity-modulated radiation therapy., Int. J. Radiat. Oncol., Biol., Phys. 50, 551-560 (2001). 10.1016/S0360-3016(01)01502-4 (Pubitemid 32472285)
6. I. J. Das, C. W. Cheng, K. L. Chopra, R. K. Mitra, S. P. Srivastava, and E. Glatstein, Intensity-modulated radiation therapy dose prescription, recording, and delivery: Patterns of variability among institutions and treatment planning systems., J. Natl. Cancer Inst. 100, 300-307 (2008). 10.1093/jnci/djn020 (Pubitemid 351480524)
7. B. J. Liu, A knowledge-based imaging informatics approach for managing proton beam therapy of cancer patients., Technol. Cancer Res. Treat. 6, 77-84 (2007). 10.1117/12.710642 (Pubitemid 47550663)
8. K. J. Lee, D. C. Barber, and L. Walton, Automated gamma knife radiosurgery treatment planning with image registration, data-mining, and Nelder-Mead simplex optimization., Med. Phys. 33, 2532-2540 (2006). 10.1118/1.2207314 (Pubitemid 43967242)
9. B. Wu, F. Ricchetti, G. Sanguineti, M. Kazhdan, P. Simari, M. Chuang, R. Taylor, R. Jacques, and T. McNutt, Patient geometry-driven information retrieval for IMRT treatment plan quality control., Med. Phys. 36, 5497-5505 (2009). 10.1118/1.3253464
10. 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 (2010). 10.1016/j.ijrobp. 2010.05.026
11. X. Han, M. S. Hoogeman, P. C. Levendag, L. S. Hibbard, D. N. Teguh, P. Voet, A. C. Cowen, and T. K. Wolf, Atlas-based auto-segmentation of head and neck CT images., Med. Image Comput. Comput. Assist. Interv. 11, 434-441 (2008) 10.1007/978-3-540-85990-1-52.
12. L. J. Stapleford, J. D. Lawson, C. Perkins, S. Edelman, L. Davis, M. W. McDonald, A. Waller, E. Schreibmann, and T. Fox, Evaluation of automatic atlas-based lymph node segmentation for head-and-neck cancer., Int. J. Radiat. Oncol., Biol., Phys. 77, 959-966 (2010). 10.1016/j.ijrobp.2009.09.023
13. G. Strassmann, S. Abdellaoui, D. Richter, F. Bekkaoui, M. Haderlein, E. Fokas, N. Timmesfeld, B. Vogel, M. Henzel, and R. Engenhart-Cabillic, Atlas-based semiautomatic target volume definition (CTV) for head-and-neck tumors., Int. J. Radiat. Oncol., Biol., Phys. 78, 1270-1276 (2010). 10.1016/j.ijrobp.2010.01.029
14. T.M. Cover and J. A. Thomas, Elements of Information Theory (Wiley, New York, 1991).
15. W. Li, Mutual information functions versus correlation functions., J. Stat. Phys. 60, 823-837 (1990). 10.1007/BF01025996
16. C. Studholme, D. L. Hill, and D. J. Hawkes, Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures., Med. Phys. 24, 25-35 (1997). 10.1118/1.598130 (Pubitemid 27051930)
17. G. D. Tourassi, R. Vargas-Voracek, D. M. Catarious, Jr., and C. E. Floyd, Jr., Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information., Med. Phys. 30, 2123-2130 (2003). 10.1118/1.1589494 (Pubitemid 37022017)
18. G. D. Tourassi, E. D. Frederick, M. K. Markey, and C. E. Floyd, Jr., Application of the mutual information criterion for feature selection in computer-aided diagnosis., Med. Phys. 28, 2394-2402 (2001). 10.1118/1.1418724 (Pubitemid 34031524)
19. G. D. Tourassi, B. Harrawood, S. Singh, J. Y. Lo, and C. E. Floyd, Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms., Med. Phys. 34, 140-150 (2007). 10.1118/1.2401667 (Pubitemid 46035236)
20. G. D. Tourassi, B. Harrawood, S. Singh, and J. Y. Lo, Information-theoretic CAD system in mammography: entropy-based indexing for computational efficiency and robust performance., Med. Phys. 34, 3193-3204 (2007). 10.1118/1.2751075 (Pubitemid 47175785)
21. M. S. S. Klein, K. Murphy, M. A. Viergever, and J. P. W. Pluim, Elastix: A toolbox for intensity based medical image registration., IEEE Trans. Med. Imaging 29, 196-205 (2010). 10.1109/TMI.2009.2035616
22. RTOG 0126-A Phase III Randomized Study of High Dose 3D-CRTIMRT versus Standard Dose 3D-CRTIMRT in Patients Treated for Localized Prostate Cancer, 2008. 10.1109/TMI.2009.2035616
23. M. T. Milano, L. S. Constine, and P. Okunieff, Normal tissue tolerance dose metrics for radiation therapy of major organs., Semin. Radiat. Oncol. 17, 131-140 (2007). 10.1016/j.semradonc.2006.11.009 (Pubitemid 46467383)
24. C. A. Lawton, J. Michalski, I. El-Naqa, M. K. Buyyounouski, W. R. Lee, C. Menard, E. O 'Meara, S. A. Rosenthal, M. Ritter, and M. Seider, RTOG GU Radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer., Int. J. Radiat. Oncol., Biol., Phys. 74, 383-387 (2009). 10.1016/j.ijrobp.2008.08.002
25. A. Jackson, L. B. Marks, S. M. Bentzen, A. Eisbruch, E. D. Yorke, R. K. Ten Haken, L. S. Constine, and J. O. Deasy, The lessons of QUANTEC: recommendations for reporting and gathering data on dose-volume dependencies of treatment outcome., Int. J. Radiat. Oncol., Biol., Phys. 76, S155-S160 (2010). 10.1016/j.ijrobp.2009.08.074
26. L. B. Marks, E. D. Yorke, A. Jackson, R. K. Ten Haken, L. S. Constine, A. Eisbruch, S. M. Bentzen, J. Nam, and J. O. Deasy, Use of normal tissue complication probability models in the clinic., Int. J. Radiat. Oncol., Biol., Phys. 76, S10-S19 (2010). 10.1016/j.ijrobp.2009.07.1754