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Dosimetric evaluation of VMAT automated breast treatment plans: Towards the establishment of an institutional plan acceptability criteria

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Introduction: To evaluate the clinical suitability of the current facility-based treatment plan protocol in establishing acceptability criteria. Material and methods: Automated Volumetric Arc Therapy (VMAT) treatment plans were retrospectively evaluated for intact breast and chest-wall cancer patients from January 2021 to January 2023. Results: A total of 94 patients were planned and treated using automated contouring and VMAT planning technique. The number of patients planned and treated for intact breast and chest-wall were 41 (43.6%) and 53 (56.4%), respectively. The mean intact breast volumes for optimization (Brst_opt) receiving 95% and 105% of the prescribed doses were 92.80% ± 1.11 and 1.54% ± 1.02, respectively. Their corresponding mean chest-wall volumes for optimization (Chst_opt) were 90.65% ± 3.19 and 2.28% ± 2.99, respectively. For left-sided cases, the mean heart dose received was 4.61 Gy ± 1.76 and 5.18 Gy ± 1.55 for intact breast plans and that for chest-wall plans, respectively. The mean ipsilateral lung volume receiving 20 Gy of the prescribed dose was 12.22% ± 3.86 and 13.19% ± 3.74 for intact breast plans and chest-wall plans, respectively. For the Brst_opt and Chst_opt dose metrics were calculated; the mean homogeneity index (HI) was 0.14 ± 0.03 and 0.15 ± 0.04, mean uniformity index (UI) was 1.09 ± 0.03 and 1.11 ± 0.03, and mean conformity index (CI) were 0.92 ± 0.04 and 0.91 ± 0.04, respectively. Conclusions: The dosimetric evaluation shows a good dose distribution in the target volumes with minimal doses to the organs at risk (OAR). Assessment of the current data affirms the clinical usefulness of the facility-adopted protocol in achieving quality treatment plans for intact breast and chest-wall irradiations. The establishment of plan acceptability criteria will help achieve improved overall treatment outcomes.
Rocznik
Strony
185--194
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
  • Medical Physics Department, Centre International de Cancerologie de Lomé, Togo
  • Department of Medical Physics, School of Nuclear and Allied Sciences, University of Ghana - Legon, Ghana
  • Radiological and Medical Research Institute, Ghana Atomic Energy Commission, Accra, Ghana
  • Department of Medical Physics, School of Nuclear and Allied Sciences, University of Ghana - Legon, Ghana
  • Medical Physics, National Radiotherapy Oncology and Nuclear Medicine Centre, Korle Bu Teaching Hospital, Ghana
  • Radiation Oncology Department, Centre International de Cancerologie de Lomé, Togo
  • Radiology Department, Campus Teaching Hospital, University of Lomé, Togo
autor
  • Medical Physics Department, Grand River Regional Cancer Centre, Kitchener, Ontario, Canada
  • Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario, Canada
Bibliografia
  • 1. 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].
  • 2. 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.
  • 3. 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/NEJMoa1209825
  • 4. 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/22373346
  • 5. 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.e01316
  • 6. 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.2015.2505188
  • 7. 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/s13014-018-0994-1
  • 8. 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.2010.09.026
  • 9. 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.2016.06.005
  • 10. 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.13271
  • 11. 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.20180270
  • 12. 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.2015.05.001
  • 13. 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/S1460396920000503
  • 14. 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.2020.10.006
  • 15. 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.2020.09.038
  • 16. 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_ndq001
  • 17. 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.v8i2.2390
  • 18. 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.2020.07.1088
  • 19. 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)00073-7
  • 20. 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.2008.02.040
  • 21. 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/nejm199203193261201
  • 22. 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.1994.12.3.447
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9d2238c9-00fc-42dc-b9b8-38730e700d75
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