McCaffrey C, Jahangir C, Murphy C, Burke C, Gallagher WM, Rahman A. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer. Expert Rev Mol Diagn. 2024;24:363–77. https://doi.org/10.1080/14737159.2024.2346545.

Article  CAS  PubMed  Google Scholar 

Alsharif WM. The utilization of artificial intelligence applications to improve breast cancer detection and prognosis. Saudi Med J. 2023;44:119–27. https://doi.org/10.15537/smj.2023.44.2.20220611.

Article  PubMed  PubMed Central  Google Scholar 

Zahedi A, Rafiemanesh H, Enayatrad M, Ghoncheh M, Salehiniya H, Incidence. Trends and epidemiology of cancers in North West of Iran. Asian Pac J Cancer Prev. 2015;16:7189–93. https://doi.org/10.7314/APJCP.2015.16.16.7189.

Article  PubMed  Google Scholar 

Yazdani S, Yarahmdi M. Evaluation of dose distributions in PTV and organs at risk in Left-Sided breast Cancer, treated by tangential wedged technique in Tohid radiotherapy center in Sanandaj. Sci J Kurdistan Univ Med Sci. 2018;22:1–10.

Google Scholar 

Yu H, Chen F, Lam KO, Yang L, Wang Y, Jin JY, EI Helali A, Kong FM. Potential determinants for Radiation-Induced lymphopenia in patients with breast cancer using interpretable machine learning approach. Front Immunol. 2022;13:1–13. https://doi.org/10.3389/fimmu.2022.768811.

Article  CAS  Google Scholar 

Goldman UB, Wennberg B, Svane G, Bylund H, Lind P. Reduction of radiation pneumonitis by V20-Constraints in breast cancer. Radiat Oncol. 2010;5:1–6. https://doi.org/10.1186/1748-717X-5-99.

Article  Google Scholar 

Kim(김인아) SH. K.A. Radiation-Induced Pulmonary Toxicity Following Adjuvant Radiotherapy for Breast Cancer TT -. 대한방사선종양학회지 2007, 25, 109–117.

Karlsen J, Tandstad T, Sowa P, Salvesen Ø, Stenehjem JS, Lundgren S, Reidunsdatter RJ. Pneumonitis and fibrosis after breast cancer radiotherapy: occurrence and Treatment-Related predictors. Acta Oncol (Madr). 2021;60:1651–8. https://doi.org/10.1080/0284186X.2021.1976828.

Article  CAS  Google Scholar 

Drost L, Yee C, Lam H, Zhang L, Wronski M, McCann C, Lee J, Vesprini D, Leung E, Chow EA. Systematic review of heart dose in breast radiotherapy. Clin Breast Cancer. 2018;18:e819–24. https://doi.org/10.1016/j.clbc.2018.05.010.

Article  PubMed  Google Scholar 

Darby SC, Ewertz M, McGale P, Bennet AM, Blom-Goldman U, Brønnum D, Correa C, Cutter D, Gagliardi G, Gigante B, et al. Risk of ischemic heart disease in women after radiotherapy for breast cancer. N Engl J Med. 2013;368:987–98. https://doi.org/10.1056/nejmoa1209825.

Article  CAS  PubMed  Google Scholar 

Beaton L, Bergman A, Nichol A, Aparicio M, Wong G, Gondara L, Speers C, Weir L, Davis M, Tyldesley S. Cardiac death after breast radiotherapy and the QUANTEC cardiac guidelines. Clin Transl Radiat Oncol. 2019;19:39–45. https://doi.org/10.1016/j.ctro.2019.08.001.

Article  PubMed  PubMed Central  Google Scholar 

Al-Hammad WE, Kuroda M, Kamizaki R, Tekiki N, Ishizaka H, Kuroda K, Sugimoto K, Oita M, Tanabe Y, Barham M, et al. Mean heart dose prediction using parameters of Single-Slice computed tomography and body mass index: machine learning approach for radiotherapy of Left-Sided breast cancer of Asian patients. Curr Oncol. 2023;30:7412–24. https://doi.org/10.3390/curroncol30080537.

Article  PubMed  PubMed Central  Google Scholar 

Kamizaki R, Kuroda M, Al–Hammad W, Tekiki N, Ishizaka H, Kuroda K, Sugimoto K, Oita M, Tanabe Y, Barham M, et al. Evaluation of the accuracy of heart dose prediction by machine learning for selecting patients not requiring deep inspiration Breath–hold radiotherapy after breast cancer surgery. Exp Ther Med. 2023;26:1–8. https://doi.org/10.3892/etm.2023.12235.

Article  Google Scholar 

Dissanayake K, Johar MGM. Comparative study on heart disease prediction using feature selection techniques on classification algorithms. Appl Comput Intell Soft Comput. 2021;2021. https://doi.org/10.1155/2021/5581806.

Sorower MA. Literature survey on algorithms for Multi-Label learning. Or State Univ Corvallis 2010, 1–25.

Jungjit S, Michaelis M, Freitas AA, Cinatl J. Extending Multi-Label feature selection with KEGG pathway information for microarray data analysis. IEEE Conf Comput Intell Bioinforma Comput Biol CIBCB 2014. 2014;2014. https://doi.org/10.1109/CIBCB.2014.6845501.

Naderi H, Karimkhani Zandi S, Hasani M, Saadatmand S, H.D. Evaluation of effective factors on irradiated volume of Lung, during Three-Dimensional conformal radiotherapy (3DCRT) for the breast cancer. Ijbd. 2018;11:25–36.

Google Scholar 

Haghparast MA, Ardakani W, Parwaei M. The Impact of Breast Size on Heart and Lung Doses in the Treatment of Breast Cancer Using 2 and 3 Dimensional Tangential Fields. jsums 2015, 22, 758–764.

Zhang Q, Liu J, Ao N, Yu H, Peng Y, Ou L, Zhang S. Secondary cancer risk after radiation therapy for breast cancer with different radiotherapy techniques. Sci Rep. 2020;10:1–12. https://doi.org/10.1038/s41598-020-58134-z.

Article  CAS  Google Scholar 

Selvaraj RN, Beriwal S, Pourarian RJ, Lalonde RJ, Chen A, Mehta K, Brunner G, Wagner KA, Yue NJ, Huq SM, et al. Clinical implementation of tangential field intensity modulated radiation therapy (IMRT) using sliding window technique and dosimetric comparison with 3D conformal therapy (3DCRT) in breast cancer. Med Dosim. 2007;32:299–304. https://doi.org/10.1016/j.meddos.2007.03.001.

Article  PubMed  Google Scholar