Báo cáo khoa học: " Dose-response relationship for breast cancer induction at radiotherapy dose"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: Dose-response relationship for breast cancer induction at radiotherapy dose. | Schneider et al. Radiation Oncology 2011 6 67 http content 6 1 67 RADIATION ONCOLOGY RESEARCH Open Access Dose-response relationship for breast cancer induction at radiotherapy dose 2 2 2 2 2 Uwe Schneider1 Marcin Sumila Judith Robotka Gunther Gruber Andreas Mack and Jurgen Besserer Abstract Purpose Cancer induction after radiation therapy is known as a severe side effect. It is therefore of interest to predict the probability of second cancer appearance for the patient to be treated including breast cancer. Materials and methods In this work a dose-response relationship for breast cancer is derived based on i the analysis of breast cancer induction after Hodgkin s disease ii a cancer risk model developed for high doses including fractionation based on the linear quadratic model and iii the reconstruction of treatment plans for Hodgkin s patients treated with radiotherapy iv the breast cancer induction of the A-bomb survivor data. Results The fitted model parameters for an a b 3 Gy were a and R . The risk for breast cancer is according to this model for small doses consistent with the finding of the A-bomb survivors has a maximum at doses of around 20 Gy and drops off only slightly at larger doses. The predicted EAR for breast cancer after radiotherapy of Hodgkin s disease is 10000PY which can be compared to the findings of several epidemiological studies where EAR for breast cancer varies between and 10000PY. The model was used to predict the impact of the reduction of radiation volume on breast cancer risk. It was estimated that mantle field irradiation is associated with a increased risk compared with mediastinal irradiation alone which is in agreement with a published value of . It was also shown that the modelled age dependency of breast cancer risk is in satisfying agreement with published data. Conclusions The dose-response relationship obtained in this report can be used for the prediction of .

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