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An Optimal Framework for the Effective Delivery of the Radiation to the target by Considering the Case of Head and Neck Cancer Cover

An Optimal Framework for the Effective Delivery of the Radiation to the target by Considering the Case of Head and Neck Cancer

Open Access
|Oct 2024

References

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J Clinicians. 2018;68(6):394-424. https://doi.org/10.3322/caac.21492
  2. Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Intl Journal of Cancer. 2014;136(5). https://doi.org/10.1002/ijc.29210
  3. Kufta K, Forman M, Swisher-McClure S, Sollecito TP, Panchal N. Pre-Radiation dental considerations and management for head and neck cancer patients. Oral Oncology. 2018;76:42-51. https://doi.org/10.1016/j.oraloncology.2017.11.023
  4. Duarte VM, Liu YF, Rafizadeh S, Tajima T, Nabili V, Wang MB. Comparison of Dental Health of Patients with Head and Neck Cancer Receiving IMRT vs Conventional Radiation. Otolaryngol--head neck surg. 2013;150(1):81-86. https://doi.org/10.1177/0194599813509586
  5. Singh P, Tripathi S, Gupta S. A unified approach for optimal dose delivery and trajectory optimization for the treatment of prostate cancer. Biomedical Signal Processing and Control. 2021;69:102884. https://doi.org/10.1016/j.bspc.2021.102884
  6. Singh P, Tripathi S, Tamrakar RK. Fluence map optimisation for prostate cancer intensity modulated radiotherapy planning using iterative solution method. Polish Journal of Medical Physics and Engineering. 2020;26(4):201-209. https://doi.org/10.2478/pjmpe-2020-0024
  7. Lim GJ, Choi J, Mohan R. Iterative solution methods for beam angle and fluence map optimization in intensity modulated radiation therapy planning. OR Spectrum. 2007;30(2):289-309. https://doi.org/10.1007/s00291-007-0096-1
  8. Paradis E, Cao Y, Lawrence TS, et al. Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 2015;93(5):1154-1161. https://doi.org/10.1016/j.ijrobp.2015.08.049
  9. Breedveld S, Storchi PRM, Keijzer M, Heijmen BJM. Fast, multiple optimizations of quadratic dose objective functions in IMRT. Phys Med Biol. 2006;51(14):3569-3579. https://doi.org/10.1088/0031-9155/51/14/019
  10. Censor Y, Ben-Israel A, Xiao Y, Galvin JM. On linear infeasibility arising in intensity-modulated radiation therapy inverse planning. Linear Algebra and its Applications. 2008;428(5-6):1406-1420. https://doi.org/10.1016/j.laa.2007.11.001
  11. Singh P, Tripathi S, Tamrakar RK. Dose-Volume Constraints Based Inverse Treatment Planning For Optimizing the Delivery of Radiation Therapy. GOR. 2020;33(03). https://doi.org/10.37896/gor33.03/489
  12. Cotrutz C, Xing L. Using voxel-dependent importance factors for interactive DVH-based dose optimization. Phys Med Biol. 2002;47(10):1659-1669. https://doi.org/10.1088/0031-9155/47/10/304
  13. Gutiontov SI, Shin EJ, Lok B, Lee NY, Cabanillas R. Intensity‐modulated radiotherapy for head and neck surgeons. Head & Neck. 2015;38(S1). https://doi.org/10.1002/hed.24338
  14. Zaghian M, Lim G, Liu W, Mohan R. An Automatic Approach for Satisfying Dose-Volume Constraints in Linear Fluence Map Optimization for IMPT. JCT. 2014;05(02):198-207. https://doi.org/10.4236/jct.2014.52025
  15. Jin R, Min Z, Song E, Liu H, Ye Y. A novel fluence map optimization model incorporating leaf sequencing constraints. Phys Med Biol. 2010;55(4):1243-1264. https://doi.org/10.1088/0031-9155/55/4/023
  16. Rocha H, Dias JM, Ferreira BC, Lopes MC. Combinatorial optimization for an improved transition from fluence optimization to fluence delivery in IMRT treatment planning. Optimization. 2012;61(8):969-987. https://doi.org/10.1080/02331934.2011.607498
  17. Jin R, Min Z, Song E, Liu H, Ye Y. A novel fluence map optimization model incorporating leaf sequencing constraints. Phys Med Biol. 2010;55(4):1243-1264. https://doi.org/10.1088/0031-9155/55/4/023
  18. Wu X, Hou Y, Zhang K. Switched system optimal control approach for drug administration in cancer chemotherapy. Biomedical Signal Processing and Control. 2022;75:103575. https://doi.org/10.1016/j.bspc.2022.103575
  19. Schmidt M, Berg E, Friedlander M, Murphy K. Optimizing costly functions with simple constraints: A limited-memory projected quasi-newton algorithm. In: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, PMLR 5:456-463, 2009.
  20. Singh P, Mishra A, Mishra SK. A comprehensive analysis of the challenges and potential side effects of radiation therapy for palliative cancer treatment. Médecine Palliative. 2024;23(2):75-91. https://doi.org/10.1016/j.medpal.2023.12.002
  21. Rosen II, Lane RG, Morrill SM, Belli JA. Treatment plan optimization using linear programming. Medical Physics. 1991;18(2):141-152. https://doi.org/10.1118/1.596700
  22. Fu A, Ungun B, Xing L, Boyd S. A convex optimization approach to radiation treatment planning with dose constraints. Optim Eng. 2018;20(1):277-300. https://doi.org/10.1007/s11081-018-9409-2
  23. Mukherjee S, Hong L, Deasy JO, Zarepisheh M. Integrating soft and hard dose‐volume constraints into hierarchical constrained IMRT optimization. Medical Physics. 2019;47(2):414-421. https://doi.org/10.1002/mp.13908
  24. Schlegel W. New Technologies in 3D Conformal Radiation Therapy: Introduction and Overview. Medical Radiology.:1-6. https://doi.org/10.1007/3-540-29999-8_1
  25. Xu Y, Diwanji T, Brovold N, et al. Assessment of daily dose accumulation for robustly optimized intensity modulated proton therapy treatment of prostate cancer. Physica Medica. 2021;81:77-85. https://doi.org/10.1016/j.ejmp.2020.11.035
  26. Shepard DM, Ferris MC, Olivera GH, Mackie TR. Optimizing the Delivery of Radiation Therapy to Cancer Patients. SIAM Rev. 1999;41(4):721-744. https://doi.org/10.1137/s0036144598342032
  27. Cotrutz C, Lahanas M, Kappas C, Baltas D. A multiobjective gradient-based dose optimization algorithm for external beam conformal radiotherapy. Phys Med Biol. 2001;46(8):2161-2175. https://doi.org/10.1088/0031-9155/46/8/309
  28. Aubry J, Beaulieu F, Sévigny C, Beaulieu L, Tremblay D. Multiobjective optimization with a modified simulated annealing algorithm for external beam radiotherapy treatment planning. Medical Physics. 2006;33(12):4718-4729. https://doi.org/10.1118/1.2390550
  29. Shou Z, Yang Y, Cotrutz C, Levy D, Xing L. Quantitation of thea prioridosimetric capabilities of spatial points in inverse planning and its significant implication in defining IMRT solution space. Phys Med Biol. 2005;50(7):1469-1482. https://doi.org/10.1088/0031-9155/50/7/010
  30. Spirou SV, Chui C. A gradient inverse planning algorithm with dose‐volume constraints. Medical Physics. 1998;25(3):321-333. https://doi.org/10.1118/1.598202
  31. Taylor A. Intensity-modulated radiotherapy - what is it? Cancer Imaging. 2004;4(2):68-73. https://doi.org/10.1102/1470-7330.2004.0003
  32. He H, Wu D. Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach. IEEE Trans Biomed Eng. 2020;67(2):399-410. https://doi.org/10.1109/tbme.2019.2913914
  33. Sorea MŞ. Measuring the local non-convexity of real algebraic curves. Journal of Symbolic Computation. 2022;109:482-509. https://doi.org/10.1016/j.jsc.2020.07.017
  34. Kim J, Shin J, Yang I. Hamilton-Jacobi deep Q-Learning for deterministic continuous-time systems with lipschitz continuous control., The Journal of Machine Learning Research. 2021:22(1):9363-9396.
  35. Gebrie AG. Distributed accelerated proximal conjugate gradient methods for multi-agent constrained optimization problems. Published online 2023. https://doi.org/10.48550/ARXIV.2306.04230
  36. Cobos-Carbó A. Ensayos clínicos aleatorizados (CONSORT). Medicina Clínica. 2005;125:21-27. https://doi.org/10.1016/s0025-7753(05)72205-3
  37. Craft D, Bangert M, Long T, Papp D, Unkelbach J. Shared data for intensity modulated radiation therapy (IMRT) optimization research: the CORT dataset. GigaSci. 2014;3(1). https://doi.org/10.1186/2047-217x-3-37
  38. Grant M, Boyd S. CVX: Matlab software for disciplined convex programming, version 2.1. 2014. Available at: https://cvxr.com/cvx2
  39. Jiaolong Xu, Ramos S, Vazquez D, Lopez AM. Domain Adaptation of Deformable Part-Based Models. IEEE Trans Pattern Anal Mach Intell. 2014;36(12):2367-2380. https://doi.org/10.1109/tpami.2014.2327973
  40. Singh P, Singh S, Mishra A, Mishra SK. Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges. Res Biomed Eng. 2024;40(2):435-450. https://doi.org/10.1007/s42600-024-00349-4
  41. Semenenko VA, Reitz B, Day E, Qi XS, Miften M, Li XA. Evaluation of a commercial biologically based IMRT treatment planning system. Medical Physics. 2008;35(12):5851-5860. https://doi.org/10.1118/1.3013556
  42. Wu Q, Mohan R, Morris M, Lauve A, Schmidt-Ullrich R. Simultaneous integrated boost intensity-modulated radiotherapy for locally advanced head-and-neck squamous cell carcinomas. I: dosimetric results. International Journal of Radiation Oncology*Biology*Physics. 2003;56(2):573-585. https://doi.org/10.1016/s0360-3016(02)04617-5
  43. Spiotto MT, Weichselbaum RR. Comparison of 3D Confromal Radiotherapy and Intensity Modulated Radiotherapy with or without Simultaneous Integrated Boost during Concurrent Chemoradiation for Locally Advanced Head and Neck Cancers. Camphausen K, ed. PLoS ONE. 2014;9(4):e94456. https://doi.org/10.1371/journal.pone.0094456
  44. Petrova D, Smickovska S, Lazarevska E. Conformity Index and Homogeneity Index of the Postoperative Whole Breast Radiotherapy. Open Access Maced J Med Sci. 2017;5(6):736-739. https://doi.org/10.3889/oamjms.2017.161
  45. Yoon M, Park SY, Shin D, et al. A new homogeneity index based on statistical analysis of the dose–volume histogram. J Applied Clin Med Phys. 2007;8(2):9-17. https://doi.org/10.1120/jacmp.v8i2.2390
  46. Lim GJ, Choi J, Mohan R. Iterative solution methods for beam angle and fluence map optimization in intensity modulated radiation therapy planning. OR Spectrum. 2007;30(2):289-309. https://doi.org/10.1007/s00291-007-0096-1
  47. Vandenbroucke JP, von Elm E, Altman DG, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration. PLoS Med. 2007;4(10):e297. https://doi.org/10.1371/journal.pmed.0040297
  48. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. Published online March 29, 2021:n71. https://doi.org/10.1136/bmj.n71
  49. Riley DS, Barber MS, Kienle GS, et al. CARE guidelines for case reports: explanation and elaboration document. Journal of Clinical Epidemiology. 2017;89:218-235. https://doi.org/10.1016/j.jclinepi.2017.04.026
DOI: https://doi.org/10.2478/pjmpe-2024-0016 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 132 - 144
Submitted on: Aug 11, 2023
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Accepted on: Jun 27, 2024
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Published on: Oct 3, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Pushpendra Singh, Naveen Kumar Dewangan, Ravindra Manohar Potdar, Seema Singh, Alka Mishra, Santosh Kumar Mishra, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.