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Analysis of risk and predictors of brain radiation necrosis after radiosurgery

In this study, we examined the factors contributing to brain radiation necrosis and its predictors of patients treated with Cyberknife radiosurgery. A total of 94 patients with primary or metastatic brain tumours having been treated with Cyberknife radiotherapy from Sep. 2006 to Oct. 2011 were colle...

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Autores principales: Zhuang, Hongqing, Zheng, Yi, Wang, Junjie, Chang, Joe Y., Wang, Xiaoguang, Yuan, Zhiyong, Wang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884953/
https://www.ncbi.nlm.nih.gov/pubmed/26675376
http://dx.doi.org/10.18632/oncotarget.6532
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author Zhuang, Hongqing
Zheng, Yi
Wang, Junjie
Chang, Joe Y.
Wang, Xiaoguang
Yuan, Zhiyong
Wang, Ping
author_facet Zhuang, Hongqing
Zheng, Yi
Wang, Junjie
Chang, Joe Y.
Wang, Xiaoguang
Yuan, Zhiyong
Wang, Ping
author_sort Zhuang, Hongqing
collection PubMed
description In this study, we examined the factors contributing to brain radiation necrosis and its predictors of patients treated with Cyberknife radiosurgery. A total of 94 patients with primary or metastatic brain tumours having been treated with Cyberknife radiotherapy from Sep. 2006 to Oct. 2011 were collected and retrospectively analyzed. Skull based tracking was used to deliver radiation to 104 target sites. and the prescribed radiation doses ranged from 1200 to 4500 cGy in 1 to 8 fractions with a 60% to 87% isodose line. Radiation necrosis was confirmed by imaging or pathological examination. Associations between cerebral radiation necrosis and factors including diabetes, cardio-cerebrovascular disease, target volume, isodose line, prescribed dosage, number of fractions, combination with whole brain radiation and biologically equivalent dose (BED) were determined by logistic regression. ROC curves were created to measure the predictive accuracy of influence factors and identify the threshold for brain radiation necrosis. Our results showed that radiation necrosis occurred in 12 targets (11.54%). Brain radiation necrosis was associated by BED, combination with whole brain radiotherapy, and fractions (areas under the ROC curves = 0.892±0.0335, 0.650±0.0717, and 0.712±0.0637 respectively). Among these factors, only BED had the capability to predict brain radiation necrosis, and the threshold dose was 7410 cGy. In conclusion, BED is the most effective predictor of brain radiation necrosis, with a dose of 7410 cGy being identified as the threshold.
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spelling pubmed-48849532016-06-17 Analysis of risk and predictors of brain radiation necrosis after radiosurgery Zhuang, Hongqing Zheng, Yi Wang, Junjie Chang, Joe Y. Wang, Xiaoguang Yuan, Zhiyong Wang, Ping Oncotarget Research Paper In this study, we examined the factors contributing to brain radiation necrosis and its predictors of patients treated with Cyberknife radiosurgery. A total of 94 patients with primary or metastatic brain tumours having been treated with Cyberknife radiotherapy from Sep. 2006 to Oct. 2011 were collected and retrospectively analyzed. Skull based tracking was used to deliver radiation to 104 target sites. and the prescribed radiation doses ranged from 1200 to 4500 cGy in 1 to 8 fractions with a 60% to 87% isodose line. Radiation necrosis was confirmed by imaging or pathological examination. Associations between cerebral radiation necrosis and factors including diabetes, cardio-cerebrovascular disease, target volume, isodose line, prescribed dosage, number of fractions, combination with whole brain radiation and biologically equivalent dose (BED) were determined by logistic regression. ROC curves were created to measure the predictive accuracy of influence factors and identify the threshold for brain radiation necrosis. Our results showed that radiation necrosis occurred in 12 targets (11.54%). Brain radiation necrosis was associated by BED, combination with whole brain radiotherapy, and fractions (areas under the ROC curves = 0.892±0.0335, 0.650±0.0717, and 0.712±0.0637 respectively). Among these factors, only BED had the capability to predict brain radiation necrosis, and the threshold dose was 7410 cGy. In conclusion, BED is the most effective predictor of brain radiation necrosis, with a dose of 7410 cGy being identified as the threshold. Impact Journals LLC 2015-12-10 /pmc/articles/PMC4884953/ /pubmed/26675376 http://dx.doi.org/10.18632/oncotarget.6532 Text en Copyright: © 2016 Zhuang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhuang, Hongqing
Zheng, Yi
Wang, Junjie
Chang, Joe Y.
Wang, Xiaoguang
Yuan, Zhiyong
Wang, Ping
Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title_full Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title_fullStr Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title_full_unstemmed Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title_short Analysis of risk and predictors of brain radiation necrosis after radiosurgery
title_sort analysis of risk and predictors of brain radiation necrosis after radiosurgery
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884953/
https://www.ncbi.nlm.nih.gov/pubmed/26675376
http://dx.doi.org/10.18632/oncotarget.6532
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