cirpublications.com-DfTn-1790880684-b506396588 1790880684 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2024 3 1 Andreas Müller Stefan Weber Julia Hoffmann Lukas Schneider Tobias Klein 2024 10.68159/b506396588 https://cirpublications.com/pub/journal/1/article/b506396588 Morgan HE, Sher DJ. Adaptive radiotherapy for head and neck cancer. Cancers Head Neck. 2020;5(1):1. 10.1186/s41199-019-0051-6 Castelli J, Simon A, Lafond C, Perichon N, Rigaud B, Chajon E, et al. Adaptive radiotherapy for head and neck cancer. Acta Oncol. 2018;57(10):1284-92. 10.1080/0284186X.2018.1498154 Yoon SW, Lin H, Alonso-Basanta M, Anderson N, Apinorasethkul O, Cooper K, et al. Initial evaluation of a novel cone-beam CT-based semi-automated online adaptive radiotherapy system for head and neck cancer treatment: a timing and automation quality study. Cureus. 2020;12(8):e9680. 10.7759/cureus.9680 Hvid CA, Elstrøm UV, Jensen K, Grau C. Cone-beam computed tomography (CBCT) for adaptive image guided head and neck radiation therapy. Acta Oncol. 2018;57(4):552-6. 10.1080/0284186X.2017.1400682 Håkansson K, Giannoulis E, Lindegaard A, Friborg J, Vogelius I. CBCT-based online adaptive radiotherapy for head and neck cancer: dosimetric evaluation of first clinical experience. Acta Oncol. 2023;62(11):1369-74. 10.1080/0284186X.2023.2263627 Nasser N, Yang GQ, Koo J, Bowers M, Greco K, Feygelman V, et al. A head and neck treatment planning strategy for a CBCT-guided ring-gantry online adaptive radiotherapy system. J Appl Clin Med Phys. 2023;24(12):e14134. 10.1002/acm2.14134 Tseng HH, Luo Y, Cui S, Chien JT, Ten Haken RK, Naqa IE. Deep reinforcement learning for automated radiation adaptation in lung cancer. Med Phys. 2017;44(12):6690-705. 10.1002/mp.12625 Shen C, Gonzalez Y, Klages P, Qin N, Jung H, Chen L, et al. Intelligent inverse treatment planning via deep reinforcement learning: a proof-of-principle study in high dose-rate brachytherapy for cervical cancer. Phys Med Biol. 2019;64(11):115013. Vickress JR, Battista J, Barnett R, Yartsev S. Online daily assessment of dose change in head and neck radiotherapy without dose-recalculation. J Appl Clin Med Phys. 2018;19(5):659-65. 10.1002/acm2.12418 Alfouzan AF. Radiation therapy in head and neck cancer. Saudi Med J. 2021;42(3):247-54. 10.15537/smj.2021.42.3.20200834 Blumenfeld PA, Feldman J, Arbit E, Weizman N, Berger A, Hillman Y, et al. Daily artificial intelligence-assisted adaptive radiotherapy on cone-beam CT for cancer of the head and neck. Int J Radiat Oncol Biol Phys. 2022;114(3 Suppl):e590-1. Blumenfeld PA, Arbit E, Wygoda MR, Berger A, Hillman Y, Weizman N, et al. Initial experience using daily artificial intelligence-assisted adaptive radiotherapy on cone-beam CT for bladder cancer. Int J Radiat Oncol Biol Phys. 2022;114(3 Suppl):e203-4. Shen C, Nguyen D, Chen L, Gonzalez Y, McBeth R, Qin N, et al. Operating a treatment planning system using a deep-reinforcement learning-based virtual treatment planner for prostate cancer intensity-modulated radiation therapy treatment planning. Med Phys. 2020;47(6):2329-36. 10.1002/mp.14114 Ebrahimi S, Lim GJ. A reinforcement learning approach for finding optimal policy of adaptive radiation therapy considering uncertain tumor biological response. Artif Intell Med. 2021;121:102193. 10.1016/j.artmed.2021.102193 Sprouts D, Gao Y, Wang C, Jia X, Shen C, Chi Y. The development of a deep reinforcement learning network for dose-volume-constrained treatment planning in prostate cancer intensity modulated radiotherapy. Biomed Phys Eng Express. 2022;8(4):045008. Leemans CR, Snijders PJF, Brakenhoff RH. The molecular landscape of head and neck cancer. Nat Rev Cancer. 2018;18(5):269-82. 10.1038/nrc.2018.11 Hrinivich WT, Lee J. Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning. Med Phys. 2020;47(12):6140-50. 10.1002/mp.14539 Wang H, Bai X, Wang Y, Lu Y, Wang B. An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer. Front Oncol. 2023;13:1124458. 10.3389/fonc.2023.1124458 Jones S, Thompson K, Porter B, Shepherd M, Sapkaroski D, Grimshaw A, et al. Automation and artificial intelligence in radiation therapy treatment planning. J Med Radiat Sci. 2024;71(2):290-8. 10.1002/jmrs.729 Vlacich G, Stavas MJ, Pendyala P, Chen SC, Shyr Y, Cmelak AJ. A comparative analysis between sequential boost and integrated boost intensity-modulated radiation therapy with concurrent chemotherapy for locally advanced head and neck cancer. Radiat Oncol. 2017;12(1):13. 10.1186/s13014-016-0759-1 Avkshtol V, Meng B, Shen C, Choi BS, Okoroafor C, Moon D, et al. Early experience of online adaptive radiation therapy for definitive radiation of patients with head and neck cancer. Adv Radiat Oncol. 2023;8(5):101256. 10.1016/j.adro.2023.101256 Mody MD, Rocco JW, Yom SS, Haddad RI, Saba NF. Head and neck cancer. Lancet. 2021;398(10318):2289-99. 10.1016/S0140-6736(21)01550-6 Xu L, Zhu S, Wen N. Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey. Phys Med Biol. 2022;67(22):22TR02. Taasti VT, Klages P, Parodi K, Muren LP. Developments in deep learning based corrections of cone beam computed tomography to enable dose calculations for adaptive radiotherapy. Phys Imaging Radiat Oncol. 2020;15:77-9. 10.1016/j.phro.2020.08.003 Harjai N. Adaptive Radiation Therapy in Head and Neck Cancer. Care P. Radiation therapy. Qual Assur. 2019;10(4). Niraula D, Jamaluddin J, Matuszak MM, Ten Haken RK, Naqa IE. Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy. Sci Rep. 2021;11(1):23545. 10.1038/s41598-021-02851-7 Lim-Reinders S, Keller BM, Al-Ward S, Sahgal A, Kim A. Online adaptive radiation therapy. Int J Radiat Oncol Biol Phys. 2017;99(4):994-1003. 10.1016/j.ijrobp.2017.04.023 van de Schoot AJ, de Boer P, Visser J, Stalpers LJA, Rasch CRN, Bel A. Dosimetric advantages of a clinical daily adaptive plan selection strategy compared with a non-adaptive strategy in cervical cancer radiation therapy. Acta Oncol. 2017;56(5):667-74. 10.1080/0284186X.2016.1275772