C Hammer1, J H Maduro2, E J Bantema-Joppe2, A van der Schaaf2, H P van der Laan2, J A Langendijk2, A P G Crijns2. 1. Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands. Electronic address: c.hammer@umcg.nl. 2. Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.
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 5years, 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⩾55Gy (V55 CTV breast) and the maximum radiation dose in the breast (Dmax). CONCLUSIONS: A multivariable prediction model was developed including age, V55 CTV breast and Dmax 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.
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 5years, 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⩾55Gy (V55 CTV breast) and the maximum radiation dose in the breast (Dmax). CONCLUSIONS: A multivariable prediction model was developed including age, V55 CTV breast and Dmax 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.
Authors: Jennifer J Hu; James J Urbanic; L Doug Case; Cristiane Takita; Jean L Wright; Doris R Brown; Carl D Langefeld; Mark O Lively; Sandra E Mitchell; Anu Thakrar; David Bryant; Kathy Baglan; Jon Strasser; Luis Baez-Diaz; Glenn J Lesser; Edward G Shaw Journal: J Clin Oncol Date: 2018-07-10 Impact factor: 44.544
Authors: Neil P Jerome; Jessica K R Boult; Matthew R Orton; James A d'Arcy; Ashutosh Nerurkar; Martin O Leach; Dow-Mu Koh; David J Collins; Simon P Robinson Journal: Eur Radiol Date: 2017-10-16 Impact factor: 5.315