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Purpose/Objective: Radiation is one of the most common cancer treatments for cancers at different stages. The challenge of radiotherapy and all other cancer treatments is finding the right balance between tumor removal and minimizing the impact on surrounding healthy tissue. The application of a biological radiation model to evaluate radiation treatment plans is considered as the optimal method to identify the above-mentioned problems. Biological radiation models are used to convert absorbed dose into relevant clinical dose data such as probability of tumor control, and probability of complications of healthy tissue surrounding the tumor. The purpose of this work is to use biological radiation indicators to compare and evaluate two treatment plans of 3D-CRT and IMRT for 23 patients with head and neck cancer.
Methods and Materials: We proceed to use biological radiation models to compare plans 3D-CRT and IMRT of patients with head and neck cancer. We conducted a comparison of the differences between the two plans. If the result is less than 5%, it is acceptable according to IAEA standards.
Results: IMRT is better suited for protecting healthy tissue and has a higher probability of tumor control.
The dose delivered to the tumor from the IMRT plan is more optimal than 3D-CRT.
Doses to organs surrounding the tumor in the IMRT plan are always safer than that of 3D-CRT.
The radiometric biological method allows a physical engineer to predict the probability of tumor control and the complications of healthy organs surrounding the tumor.
From the radiobiological approach, we can clearly see that the IMRT plan is more suitable for evaluating of complication rates and tumor control probabilities for patients than the 3D-CRT plan.
Edvard Abel, Ewa Silander, Jan Nyman, Mogens Bove, Leif Johansson, Thomas Bjork Eriksson, Eva Hammerlid. Impact on quality of life of IMRT versus 3D conformal radiation therapy in head and neck cancer patients: A case control study. Advances in Radiation Oncology. 2017;2:346-353.
Dan Nguyen, Xun Jia, David Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve Jiang. 3D radiptherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U net deep learning architecture. Physics in medicine & Biology. 2019;64(6).
Deng JY, Wang C, Shi XH, Jiang GL, Wang Y, Liu Y, Zhao KL. Reduced toxicity with three-dimensional conformal radiotherapy or intensity-modulated radiotherapy compared with conventional two dimensional radiotherapy for esophageal squamous cell carcinoma: A secondary analysis of data from four prospective clinical trinical trials. Diseases of the Esophagus. 2017;30(7):1-7.
Hanan A. Abotaleb, Ehab Maarouf, El-Hossary FM, Raaif M, Mohamed Kelany. Conformity and homogeneity indices for head and neck cancer patients using 3D-CRT. Sohag J. Sci. 2017;2(2):19-25.
Ahmed Shawky Shawata, Mohamed Farouk Akl, Khaled M. Elshahat, Naer A. Baker, Moustafa T. Ahmed. Evaluation of different planning methods of 3D-CRT, IMRT and RapidArc for localized prostate cancer patients: planning and dosimetric study, Egyptian of Radiology and Nuclear Medicine; 2019.
Ghosh G, Gupta G, Malviya A, Saroj D. Comparison three-dimensional conformal radiotherapy versus intensity modulated radiation therapy in local control of head and neck cancer. J Cancer Res Ther. 2018;14:1412.
Young JHE, McGowan T, Redmond-Misner R, Beca J, Earde P, Gutierrez E, Hoch JS. Estimating the costs of intensity-modulated and 3-dimensional conformal radiotherapy in Ontario. Curr Oncol. 2016;23:e228.
Kehwar T. Analytical approach to estimate normal tissue complication probability using best fit of normal tissue tolerance doses into the NTCP equation of the linear quadratic model. J. Cancer Res. Ther. 2005;1(3):168.
Rany Nuraini, Rena Widita. Journal of Physics Conference Series. International Conference on Mathematics and Natural Science. 2019;1245.
Niyas Puzhakkal, Abdullah Kallikuzhiyil Kochunny, Noufal Manthala Padannayil, Navin Singh, Jumanath Elavan Chalil, Jamshad Kulangaraka Umer. Comparison of treatment plans: A retrospective study by the method of radiobiological evaluation. Polish Journal of Medical Physics and Engineering. 2016;22(3):61-68.
Rahman M, Kausar A, Mondol M, Sujan M, Azhari HA, Zakria GA. Analysis of NTCP based radiobiological models: A systematic review of literatures, Int J cancer Res. Ther. 2019;4(4).
Daniele Eekers. Optimization of brain and head & neck radiotherapy; 2018.
DOI:10.17915/candat.2018.12.7 doctoral thesis
Emami B, Lyman J, Brown A, Goiten M, munzenride JE, et al. Tolerance of normal tissue to therapeutic radiation. Int J. Radiat Oncol Biol Phys. 1991;21:109-22.
Cx Y, Hd T, Ae N, Jo D, Su F. Use of EUD tool in IMRT plan evaluation. 2012;36–54.