期刊
RADIOTHERAPY AND ONCOLOGY
卷 123, 期 2, 页码 227-233出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.radonc.2017.01.013
关键词
Frailty models; Liver metastases; Stereotactic radiotherapy; SBRT; Tumor control probability modeling
Introduction:, Stereotactic body radiation therapy (SBRT) is applied in the oligometastatic setting to treat liver metastases. However, factors influencing tumor control probability (TCP) other than radiation dose have not been thoroughly investigated. Here we set out to investigate such factors with a focus on the influence of histology and chemotherapy prior to SBRT using a large multi-center database from the German Society of Radiation Oncology. Methods: 452 SBRT treatments in 363 patients were analyzed after collection of patient, tumor and treatment data in a multi-center database. Histology was considered through random effects in semi parametric and parametric frailty models. Dose prescriptions were parametrized by conversion to the maximum biologically effective dose using alpha/beta of 10 Gy (BEDmax). Results: After adjusting for histology, BEDmax was the strongest predictor of TCP. Larger PTV volumes, chemotherapy prior to SBRT and simple motion management techniques predicted significantly lower TCP. The model predicted a BED of 209 +/- 67 Gy(10) necessary for 90% TCP at 2 years with no prior chemotherapy, but 286 +/- 78 Gy(10) when chemotherapy had been given. Breast cancer metastases were significantly more responsive to SBRT compared to other histologies with 90% TCP at 2 years achievable with BED,. of 157 +/- 80 Gy(10) or 80 +/- 62 Gy(10) with and without prior chemotherapy, respectively. Conclusions: Besides dose, histology and pretreatment chemotherapy were important factors influencing local TCP in this large cohort of liver metastases. After adjusting for prior chemotherapy, our data add to the emerging evidence that breast cancer metastases do respond better to hypofractionated SBRT compared to other histologies. (C) 2017 Elsevier B.V. All rights reserved.
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