This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Ferlay J, Ervik M, Lam F, et al. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. 2020. Available from: https://gco.iarc.fr/today, accessed [02 Feb 2023].Search in Google Scholar
Henry NL, Shah PD, Haider I, et al. Chapter 88: Cancer of the Breast. In: Niederhuber JE, Armitage JO, Doroshow JH, Kastan MB, Tepper JE, eds. Abeloff’s Clinical Oncology. 6th ed. Philadelphia, Pa: Elsevier; 2020.Search in Google Scholar
Darby SC, Ewertz M, McGale P, et al. Risk of ischemic heart disease in women after radiotherapy for breast cancer. N Engl J Med. 2013;368:987-998. https://doi.org/10.1056/NEJMoa1209825Search in Google Scholar
Teoh M, Clark CH, Wood K, et al. Volumetric modulated arc therapy: a review of current literature and clinical use in practice. Br. J. Radiol. 2011; 84: 967-96. https://doi.org/10.1259/bjr/22373346Search in Google Scholar
Acquah GF, Hasford F, Tagoe S, et al. Overview of breast cancer external beam radiation therapy in Ghana: Towards the establishment of a national standardized treatment guidelines for improved patient care. Scientific African. 2022;17:e01316. https://doi.org/10.1016/j.sciaf.2022.e01316Search in Google Scholar
McIntosh C, Purdie TG. Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy. IEEE Trans Med Imaging. 2016;35(4):1000-1012. https://doi.org/10.1109/TMI.2015.2505188Search in Google Scholar
Ueda Y, Fukunaga JI, Kamima T, et al. Evaluation of multiple institutions’ models for knowledge based planning of volumetric modulated arc therapy (VMAT) for prostate cancer. Radiat Oncol. 2018;13:46. https://doi.org/10.1186/s13014-018-0994-1Search in Google Scholar
Wang W, Purdie TG, Rahman M, et al. Rapid automated treatment planning process to select breast cancer patients for active breathing control to achieve cardiac dose reduction. Int J Radiat Oncol Biol Phys. 2012;82(1):386-393. https://doi.org/10.1016/j.ijrobp.2010.09.026Search in Google Scholar
Balaji K, Subramanian B, Yadav P, et al. Radiation therapy for breast cancer: Literature review. Medical Dosimetry. 2016;41:253-257. https://doi.org/10.1016/j.meddos.2016.06.005Search in Google Scholar
Fan J, Wang J, Chen Z, et al. Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique. Med Phys. 2019;46:370-381. https://doi.org/10.1002/mp.13271Search in Google Scholar
Hussein M, Heijmen BJM, Verellen D, et al. Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations. Br J Radiol. 2018;91:1092. https://doi.org/10.1259/bjr.20180270Search in Google Scholar
Osei E, Darko J, Fleck A, et al. Dosimetric evaluation of whole-breast radiation therapy: clinical experience. Med Dosim. 2015;40(4):355-365. https://doi.org/10.1016/j.meddos.2015.05.001Search in Google Scholar
Osei E, Dang S, Darko J, et al. Dosimetric evaluation of 3 and/or 4 field radiation therapy of breast cancers: clinical experience. Journal of Radiotherapy in Practice. 2020;20(4):1-15. https://doi.org/10.1017/S1460396920000503Search in Google Scholar
Vaniqui A, Canters R, Vaassen F, et al. Treatment plan quality assessment for radiotherapy of rectal cancer patients using prediction of organ-at-risk dose metrics. PhiRo. 2020;16:74-80. https://doi.org/10.1016/j.phro.2020.10.006Search in Google Scholar
Hernandez V, Ronn Hansen CR, Widesott L, et al. What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans. Radiother Oncol. 2020;153:26-33. https://doi.org/10.1016/j.radonc.2020.09.038Search in Google Scholar
International Commission on Radiation Units and Measurements (ICRU). Prescribing, recording, and reporting photon-beam IMRT. Report 83. Journal of the ICRU. 2010;10(1). https://doi.org/10.1093/jicru_ndq001Search in Google Scholar
Yoon M, Park SY, Shin D, et al. A new homogeneity index based on statistical analysis of the dose-volume histogram. J Appl Clin Med Phys. 2007;8:9-17. https://doi.org/10.1120/jacmp.v8i2.2390Search in Google Scholar
Adnani N, Beyer DC, David A, et al. Minimizing the V105 in Breast Irradiation Leads to Better Treatment Outcomes: A Retrospective Study. International Journal of Radiation Oncology, Biology, Physics. 2020;108(3):e46-47. https://doi.org/10.1016/j.ijrobp.2020.07.1088Search in Google Scholar
Hall EJ, Wuu CS. Radiation-induced second cancers: the impact of 3D-CRT and IMRT. Int J Radiat Oncol Biol Phys. 2003;56(1):83-88. https://doi.org/10.1016/s0360-3016(03)00073-7Search in Google Scholar
Stovall M, Smith SA, Langholz BM, et al. Dose to the contralateral breast from radiotherapy and risk of second primary breast cancer in the WECARE study. Int J Radiat Oncol Biol Phys. 2008;72:1021-1030. https://doi.org/10.1016/j.ijrobp.2008.02.040Search in Google Scholar
Boice JD Jr, Harvey EB, Blettner M, et al. Cancer in the contralateral breast after radiotherapy for breast cancer. N Engl J Med. 1992;326:781-785. https://doi.org/10.1056/nejm199203193261201Search in Google Scholar
Cuzick J, Stewart H, Rutqvist L, et al. Cause-specific mortality in long-term survivors of breast cancer who participated in trials of radiotherapy. J Clin Oncol. 1994;12:447-453. https://doi.org/10.1200/jco.1994.12.3.447Search in Google Scholar