Journal of Radiation Research and Radiation Processing, Volume. 43, Issue 1, 010303(2025)
Creation of association-rule prediction model for acute radiation dermatitis in breast cancer patients
[1] Tao X T, Li T, Gandomkar Z et al. Incidence, mortality, survival, and disease burden of breast cancer in China compared to other developed countries[J]. Asia-Pacific Journal of Clinical Oncology, 19, 645-654(2023).
[2] Jiang Y Z, Ma D, Jin X et al. Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities[J]. Nature Cancer, 5, 673-690(2024).
[3] Wang X J, O’Regan R M. Breast cancer therapy in China: introducing the special collection[J]. Cancer, 130, 1368-1370(2024).
[4] Senoga A, Wasike R, Ali Mwanzi S et al. Quality of life of patients one year after breast-conserving surgery versus modified radical mastectomy for early breast cancer: a Kenyan tertiary hospital five-year review[J]. The Pan African Medical Journal, 46, 69(2023).
[5] Chen J C, Li Y M, Fisher J L et al. Modified radical mastectomy in de novo stage IV inflammatory breast cancer[J]. Annals of Surgical Oncology, 29, 6681-6688(2022).
[6] Dong B, Yin X X, Xu H et al. Application value of modified radical mastectomy in female patients with breast cancer of different molecular types: a prognosis study[J]. American Journal of Translational Research, 14, 2490-2496(2022).
[7] Salafuddin M, Yarso K, Nugroho H et al. Breast conserving surgery is better for sexual satisfaction compared to a modified radical mastectomy for breast cancer[J]. Asian Pacific Journal of Cancer Prevention, 24, 2083-2088(2023).
[8] Luo Y B, Chen X M, LYU R B et al. Breast-conserving surgery versus modified radical mastectomy in T1-2N3M0 stage breast cancer: a propensity score matching analysis[J]. Breast Cancer, 31, 979-987(2024).
[9] LI Dan, FAN Xuewu, DING Lei et al. Application of light-emitting diode to prevent acute radiodermatitis in patients with breast cancer[J]. Journal of Radiation Research and Radiation Processing, 40, 020303(2022).
[10] PENG Lijuan, ZHOU Xiuqin, XIONG Man. Relevant factors and nursing care of radiation dermatitis in patients treated by radiotherapy[J]. Journal of Clinical Medicine in Practice, 21, 27-30(2017).
[11] Xie Y X, Hu T, Chen R W et al. Predicting acute radiation dermatitis in breast cancer: a prospective cohort study[J]. BMC Cancer, 23, 537(2023).
[12] Feng H C, Wang H, Xu L X et al. Prediction of radiation-induced acute skin toxicity in breast cancer patients using data encapsulation screening and dose-gradient-based multi-region radiomics technique: a multicenter study[J]. Frontiers in Oncology, 12, 1017435(2022).
[13] LI Ruixia, TIAN Long, WANG Chenyu. Application of deep learning function in the prediction of death-related factors for intensive care patients[J]. Chinese Journal of Critical Care Medicine, 43, 440-444(2023).
[14] CAO Yuxing, TIAN Long, WANG Chenyu. A new technique for predicting the death risk of rectal cancer patients—machine learning combined with medical statistics[J]. Journal of Modern Oncology, 31, 3621-3625(2023).
[15] XU Yuanbo, FAN Xuewu, TIAN Long et al. Application of deep learning method in evaluating the service quality of radiotherapy department[J]. Chinese Journal of Health Informatics and Management, 20, 290-296(2023).
[16] HUI Lin, WANG Jing. Construction of a predictive model for radiation dermatitis induced by radiotherapy for esophageal cancer[J]. Journal of Clinical and Pathological Research, 42, 2938-2944(2022).
[17] WANG Yanhu, XIAO Wei, FANG Shencun et al. Establishment and validation of a Nomogram model for predicting acute radiation dermatitis caused by intensity modulated radiotherapy for esophageal cancer[J]. Journal of Clinical Medicine in Practice, 27, 26-30(2023).
[18] JIN Yang, CUI Yang, XIN Lulu et al. Analysis of influencing factors of perineal radio-dermatitis in patients undergoing cervical cancer radiotherapy[J]. Nursing Practice and Research, 18, 2089-2091(2021).
Get Citation
Copy Citation Text
Lesha ZHU, Zunhao ZHANG, Long TIAN. Creation of association-rule prediction model for acute radiation dermatitis in breast cancer patients[J]. Journal of Radiation Research and Radiation Processing, 2025, 43(1): 010303
Category: RADIOBIOLOGY AND RADIOMEDICINE
Received: Jul. 10, 2024
Accepted: Nov. 15, 2024
Published Online: Mar. 13, 2025
The Author Email: Long TIAN (田龙)