Radiation-induced fibrosis in the boost area after three-dimensional conformal radiotherapy with a simultaneous integrated boost technique for early-stage breast cancer: A multivariable prediction model. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Hammer, C.; Maduro, J.H.; Bantema-Joppe, E.J.; van der Schaaf, A.; van der Laan, H.P.; Langendijk, J.A.; Crijns, A.P.G.
• Is Part Of: Radiotherapy and oncology. Volume 122:Issue 1(2017:Jan.)
• Page Start: 45
• Page End: 49
• Publication Date: 2017-01
• Subjects: Multivariable prediction model -- Fibrosis -- Breast cancer -- Radiotherapy -- NTCP; Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2016.10.006
• Languages: English
• ISSNs: 0167-8140

Abstract

Abstract: Background and purpose: To develop a multivariable prediction model for the risk of grade ⩾ 2 fibrosis in the boost area after breast conserving surgery (BCS) followed by three-dimensional conformal radiotherapy (RT) with a simultaneous integrated photon boost (3D-CRT-SIB), five years after RT. Material and methods: This prospective cohort study included 1, 030 patients treated with RT for breast cancer (stage 0-III), after BCS. Data regarding physician-rated fibrosis and dose–volume parameters were available in 546 patients. A multivariable logistic regression model for grade ⩾ 2 fibrosis was generated. Results: At 5 years, grade ⩾ 2 fibrosis was observed in 13.4% of the patients. The multivariable analysis resulted in a prediction model for grade ⩾ 2 fibrosis in the boost area including three independent variables: patient age, breast volume receiving ⩾ 55 Gy (V55 CTV breast) and the maximum radiation dose in the breast ( D max ). Conclusions: A multivariable prediction model was developed including age, V55 CTV breast and D max for grade ⩾ 2 fibrosis in the boost area after breast cancer RT using a 3D-CRT-SIB technique. This model can be used to estimate the risk of fibrosis and to optimize dose distributions aiming at reducing this risk.