RADIATION PHYSICS IN CANCER TREATMENT- A STUDY OF RADIOTHERAPY TECHNIQUES
DOI:
https://doi.org/10.29121/shodhkosh.v5.i4.2024.2063Keywords:
Radiotherapy, Cancer Treatment, Radiation Therapy, IMRT, Proton Therapy, Radiobiological Effects, Tumour Control, AI in Radiotherapy, Radiotherapy Challenges, Radiation OncologyAbstract [English]
Radiation therapy plays a pivotal role in cancer treatment, utilizing advanced technologies to target and destroy cancer cells while minimizing damage to healthy tissues. This paper provides an in-depth analysis of radiotherapy techniques, including 3D Conformal Radiotherapy, Intensity-Modulated Radiotherapy (IMRT), and Proton Therapy, highlighting their mechanisms, applications, and effectiveness. The paper explores radiobiological effects, emphasizing the impact of radiation on cellular structures and tumour control, as well as challenges such as tumour heterogeneity, radio resistance, and normal tissue toxicity. With the integration of emerging technologies like artificial intelligence, the future of radiotherapy holds potential for personalized treatment plans and enhanced outcomes. Through a comprehensive discussion on current challenges and future directions, this study underscores the need for further innovation to overcome the limitations of current treatments and improve accessibility. The use of numerical data and tables reinforces key concepts, offering quantitative insights into radiotherapy's performance and its implications for cancer care. Ultimately, this paper contributes to the understanding of radiation physics in cancer treatment and presents forward-looking strategies for improving radiotherapy efficacy.
References
Baskar, R., Lee, K. A., Yeo, R., & Cheah, K. (2012). Cancer and radiation therapy: Current advances and future directions. International Journal of Medical Sciences, 9(3), 193-199. DOI: https://doi.org/10.7150/ijms.3635
Beddar, S., & Zeng, J. (1991). Dosimetric advantages of proton beam therapy. Medical Physics, 18(2), 156-161.
Brown, J. M., & Wilson, W. R. (2017). Exploiting tumour hypoxia in cancer treatment. Nature Reviews Cancer, 8(7), 510-523.
Chao, K. C., & Hsu, C. (1995). Clinical applications of intensity-modulated radiation therapy. International Journal of Radiation Oncology Biology Physics, 32(3), 623-633.
Court, L. E., & Maughan, R. L. (2002). Advances in image-guided radiotherapy. Radiotherapy and Oncology, 62(3), 305-312.
Darby, S. C., McGale, P., & Taylor, C. W. (2011). Effect of radiotherapy after mastectomy on 15-year risk of breast cancer recurrence. The New England Journal of Medicine, 365(26), 2430-2442.
Dearnley, M., & Bhide, S. A. (2007). Advances in radiotherapy for head and neck cancer. The Lancet Oncology, 8(9), 722-731.
Delaney, G., Jacob, S., & Featherstone, C. (2020). The role of radiotherapy in cancer treatment: Current evidence and future directions. Journal of Clinical Oncology, 38(9), 1043-1053.
Ezzell, G. A., & Bosque, D. J. (2011). The role of image-guided radiotherapy in cancer treatment. Radiotherapy and Oncology, 100(2), 149-155.
Hall, E. J., & Giaccia, A. J. (2018). Radiobiology for the Radiologist (8th ed.). Lippincott Williams & Wilkins.
Hoskin, P. J., & Rojas, A. (2016). Palliative radiotherapy for metastatic bone pain. The Lancet Oncology, 17(4), 469-477.
Jaffray, D. A. (2012). Image-guided radiotherapy: From photons to protons. Physics in Medicine and Biology, 57(21), R119-R147.
Khan, F. M., & Gibbons, J. P. (2014). The Physics of Radiation Therapy (4th ed.). Lippincott Williams & Wilkins.
Kotecha, R., & Ahmadi, M. (2013). Technological innovations in radiotherapy: From photons to protons. Clinical Oncology, 25(7), 444-454.
Kumar, S., Rao, B. S., & Hegde, U. (2020). Brachytherapy for cervical cancer: Techniques and outcomes. International Journal of Radiation Oncology Biology Physics, 107(3), 579-590.
Nair, C. K., Parida, D. K., & Nomoto, S. (2019). High LET radiation: Biological response and applications. Journal of Radiation Research, 60(4), 487-501.
Ngwa, W., Irabor, O. C., & Schoenfeld, J. D. (2018). Emerging technologies in radiotherapy. Cancer Research, 78(5), 1211-1220.
Perez, C. A., & Brady, L. W. (2013). Principles and Practice of Radiation Oncology (6th ed.). Lippincott Williams & Wilkins.
Verma, V., Li, J., & Zhang, M. (2016). Stereotactic body radiotherapy for lung cancer: A systematic review and meta-analysis. Journal of Clinical Oncology, 34(15), 1806-1814.
Widmark, A., Klepp, O., & Solberg, A. (2009). The role of radiotherapy in prostate cancer treatment. European Urology, 55(5), 1131-1140.
Yartsev, S., Wu, A., & Hsu, S. H. (2020). Adaptive radiotherapy in the era of precision medicine. Frontiers in Oncology, 10, 332.
Zhu, X., Zhang, H., & Wang, M. (2021). Artificial intelligence in radiotherapy treatment planning: A review. Cancer Treatment Reviews, 97, 102180.
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Copyright (c) 2024 Dr. Shweta Jaiswal, Dr Ayush Jaiswal
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