Secondary Malignancies From Prostate Cancer Radiation Treatment: A Risk Analysis of the Influence of Target Margins and Fractionation Patterns
Dasu, Alexandru ; Toma-Dasu, Iuliana ; Franzen, Lars ; Widmark, Anders and Nilsson, Per LU
(2011)
In International Journal of Radiation Oncology, Biology, Physics
79(3).
p.738-746
- Abstract
- Purpose: This study explores the implications for cancer induction of treatment details such as fractionation, planning target volume (PTV) definition, and interpatient variations, which are relevant for the radiation treatment of prostate carcinomas. Methods and Materials: Treatment planning data from 100 patients have been analyzed with a risk model based on the United Nations Scientific Committee on the Effects of Atomic Radiation competition model. The risk model can account for dose heterogeneity and fractionation effects characteristic for modern radiotherapy. Biologically relevant parameters from clinical and experimental data have been used with the model. Results: The results suggested that changes in prescribed dose could lead to... (More)
- Purpose: This study explores the implications for cancer induction of treatment details such as fractionation, planning target volume (PTV) definition, and interpatient variations, which are relevant for the radiation treatment of prostate carcinomas. Methods and Materials: Treatment planning data from 100 patients have been analyzed with a risk model based on the United Nations Scientific Committee on the Effects of Atomic Radiation competition model. The risk model can account for dose heterogeneity and fractionation effects characteristic for modern radiotherapy. Biologically relevant parameters from clinical and experimental data have been used with the model. Results: The results suggested that changes in prescribed dose could lead to a modification of the risks for individual organs surrounding the clinical target volume (CTV) but that the total risk appears to be less affected by changes in the target dose. Larger differences are observed for modifications of the margins between the CTV and the PTV because these have direct impact onto the dose level and dose heterogeneity in the healthy tissues surrounding the CTV. Interpatient anatomic variations also have to be taken into consideration for studies of the risk for cancer induction from radiotherapy. Conclusions: The results have shown the complex interplay between the risk for secondary malignancies, the details of the treatment delivery, and the patient heterogeneity that may influence comparisons between the long-term effects of various treatment techniques. Nevertheless, absolute risk levels seem very small and comparable to mortality risks from surgical interventions, thus supporting the robustness of radiation therapy as a successful treatment modality for prostate carcinomas. (C) 2011 Elsevier Inc. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1878017
- author
- Dasu, Alexandru
; Toma-Dasu, Iuliana
; Franzen, Lars
; Widmark, Anders
and Nilsson, Per
LU
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Prostate cancer, Carcinogenesis, Radiation treatment, DVH, Fractionation
- in
- International Journal of Radiation Oncology, Biology, Physics
- volume
- 79
- issue
- 3
- pages
- 738 - 746
- publisher
- Elsevier
- external identifiers
-
- wos:000287382400014
- scopus:79551501700
- ISSN
- 0360-3016
- DOI
- 10.1016/j.ijrobp.2009.12.004
- language
- English
- LU publication?
- yes
- id
- 15275397-b88c-4a9c-8750-329ce4d6e2e0 (old id 1878017)
- date added to LUP
- 2016-04-01 11:02:06
- date last changed
- 2022-01-26 04:48:22
@article{15275397-b88c-4a9c-8750-329ce4d6e2e0,
abstract = {{Purpose: This study explores the implications for cancer induction of treatment details such as fractionation, planning target volume (PTV) definition, and interpatient variations, which are relevant for the radiation treatment of prostate carcinomas. Methods and Materials: Treatment planning data from 100 patients have been analyzed with a risk model based on the United Nations Scientific Committee on the Effects of Atomic Radiation competition model. The risk model can account for dose heterogeneity and fractionation effects characteristic for modern radiotherapy. Biologically relevant parameters from clinical and experimental data have been used with the model. Results: The results suggested that changes in prescribed dose could lead to a modification of the risks for individual organs surrounding the clinical target volume (CTV) but that the total risk appears to be less affected by changes in the target dose. Larger differences are observed for modifications of the margins between the CTV and the PTV because these have direct impact onto the dose level and dose heterogeneity in the healthy tissues surrounding the CTV. Interpatient anatomic variations also have to be taken into consideration for studies of the risk for cancer induction from radiotherapy. Conclusions: The results have shown the complex interplay between the risk for secondary malignancies, the details of the treatment delivery, and the patient heterogeneity that may influence comparisons between the long-term effects of various treatment techniques. Nevertheless, absolute risk levels seem very small and comparable to mortality risks from surgical interventions, thus supporting the robustness of radiation therapy as a successful treatment modality for prostate carcinomas. (C) 2011 Elsevier Inc.}},
author = {{Dasu, Alexandru and Toma-Dasu, Iuliana and Franzen, Lars and Widmark, Anders and Nilsson, Per}},
issn = {{0360-3016}},
keywords = {{Prostate cancer; Carcinogenesis; Radiation treatment; DVH; Fractionation}},
language = {{eng}},
number = {{3}},
pages = {{738--746}},
publisher = {{Elsevier}},
series = {{International Journal of Radiation Oncology, Biology, Physics}},
title = {{Secondary Malignancies From Prostate Cancer Radiation Treatment: A Risk Analysis of the Influence of Target Margins and Fractionation Patterns}},
url = {{http://dx.doi.org/10.1016/j.ijrobp.2009.12.004}},
doi = {{10.1016/j.ijrobp.2009.12.004}},
volume = {{79}},
year = {{2011}},
}