Modeling the dosimetry of Organ-at-risk in head and neck IMRT planning: An intertechnique and interinstitutional study

Medical Physics

Volumn 40, Issue 12, 2013, Pages

  Lian, Jun ^a   Yuan, Lulin ^b   Ge, Yaorong ^c   Chera, Bhishamjit S ^a   Yoo, David P ^b   Chang, Sha ^a   Yin, Fangfang ^b   Wu, Q Jackie ^b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c University of North Carolina at Charlotte   (United States)

Author keywords

IMRT; Interinstitutional; Intertechnique; Prediction

Indexed keywords

BRAIN; DOSIMETRY; ELECTRIC SWITCHBOARDS; FORECASTING; GRAPHIC METHODS; PATIENT MONITORING; QUALITY CONTROL; REGRESSION ANALYSIS;

DOSE-VOLUME HISTOGRAMS; IMRT; INSTITUTIONAL DIFFERENCES; INTENSITY-MODULATED RADIATION THERAPY; INTERINSTITUTIONAL; INTERTECHNIQUE; LEAVE-ONE-OUT CROSS VALIDATIONS; SUBMANDIBULAR GLANDS;

RADIOTHERAPY;

ARTICLE; BRAIN STEM; CANCER RADIOTHERAPY; CLINICAL ARTICLE; CLINICAL PROTOCOL; DOSIMETRY; HEAD AND NECK CANCER; HUMAN; INTENSITY MODULATED RADIATION THERAPY; LARYNX; LINEAR ACCELERATOR; MACHINE; ORGAN; ORGAN AT RISK; PAROTID GLAND; PLANNING TARGET VOLUME; PRACTICE GUIDELINE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; RADIATION DOSE; REGRESSION ANALYSIS; SPINAL CORD; STATISTICAL MODEL; SUBMANDIBULAR GLAND; TOMOGRAPHY; TOMOTHERAPY; TREATMENT PLANNING; VALIDATION STUDY; COMPUTER ASSISTED RADIOTHERAPY; HEAD AND NECK TUMOR; METHODOLOGY; ORGANS AT RISK; RADIATION EXPOSURE; RADIOMETRY; THEORETICAL MODEL;

HEAD AND NECK NEOPLASMS; HUMANS; MODELS, THEORETICAL; ORGANS AT RISK; RADIOMETRY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED;

EID: 84890041294     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4828788     Document Type: Article

References (23)

1. S. Webb, " The physical basis of IMRT and inverse planning.," Br. J. Radiol. 76, 678-689 (2003). 10.1259/bjr/65676879
2. Q. Wu and R. Mohan, " Algorithms and functionality of an intensity modulated radiotherapy optimization system.," Med. Phys. 27, 701-711 (2000). 10.1118/1.598932
3. 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
4. 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
5. 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
6. B. Mathayomchan, Multiobjective Approach to Morphological Based Radiation Treatment Planning (PhD Thesis), Case Western Reserve University, Cleveland, OH, 2006.
7. 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
8. 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
9. 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
10. 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
11. 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
12. L. Yuan, Y. Ge, W. R. Lee, F. F. Yin, J. P. Kirkpatrick, and Q. J. Wu, " Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.," Med. Phys. 39, 6868-6878 (2012). 10.1118/1.4757927
13. L. M. Appenzoller, J. M. Michalski, W. L. Thorstad, S. Mutic, and K. L. Moore, " Predicting dose-volume histograms for organs-at-risk in IMRT planning.," Med. Phys. 39, 7446-7461 (2012). 10.1118/1.4761864
14. T. Bortfeld and S. Webb, " Single-Arc IMRT?," Phys. Med. Biol. 54, N9-N20 (2009). 10.1088/0031-9155/54/1/N02
15. H. T. Chung, B. Lee, E. Park, J. J. Lu, and P. Xia, " Can all centers plan intensity-modulated radiotherapy (IMRT) effectively? An external audit of dosimetric comparisons between three-dimensional conformal radiotherapy and IMRT for adjuvant chemoradiation for gastric cancer.," Int. J. Radiat. Oncol., Biol., Phys. 71, 1167-1174 (2008). 10.1016/j.ijrobp.2007.11.040
16. 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
17. B. E. Nelms, W. A. Tome, G. Robinson, and J. Wheeler, " Variations in the contouring of organs at risk: Test case from a patient with oropharyngeal cancer.," Int. J. Radiat. Oncol., Biol., Phys. 82, 368-378 (2012). 10.1016/j.ijrobp.2010.10.019
18. 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
19. 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
20. C. Fiorino, I. Dell'Oca, A. Pierelli, S. Broggi, E. De Martin, N. Di Muzio, B. Longobardi, F. Fazio, and R. Calandrino, " Significant improvement in normal tissue sparing and target coverage for head and neck cancer by means of helical tomotherapy.," Radiother. Oncol. 78, 276-282 (2006). 10.1016/j.radonc.2006.02.009
21. P. Mavroidis, C. Shi, G. A. Plataniotis, M. G. Delichas, B. C. Ferreira, S. Rodriguez, B. K. Lind, and N. Papanikolaou, " Comparison of the helical tomotherapy against the multileaf collimator-based intensity-modulated radiotherapy and 3D conformal radiation modalities in lung cancer radiotherapy.," Br. J. Radiol. 84, 161-172 (2011). 10.1259/bjr/89275085
22. J. Pardo-Montero and J. D. Fenwick, " Tomotherapy-like versus VMAT-like treatments: A multicriteria comparison for a prostate geometry.," Med. Phys. 39, 7418-7429 (2012). 10.1118/1.4768159
23. R. Taylor, K. Opfermann, B. D. Jones, L. E. Terwilliger, D. G. McDonald, M. S. Ashenafi, E. Garrett-Meyer, and D. T. Marshall, " Comparison of radiation treatment delivery for pancreatic cancer: Linac intensity-modulated radiotherapy versus helical tomotherapy.," J. Med. Imaging Radiat. Oncol. 56, 332-337 (2012). 10.1111/j.1754-9485.2012.02373.x