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Overall survival after reirradiation of spinal metastases – independent validation of predictive models

BACKGROUND: It is unknown if survival prediction tools (SPTs) sufficiently predict survival in patients who undergo palliative reirradiation of spinal metastases. We therefore set out to clarify if SPTs can predict survival in this patient population. METHODS: We retrospectively analyzed spinal reir...

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Autores principales: Buergy, Daniel, Siedlitzki, Lena, Boda-Heggemann, Judit, Wenz, Frederik, Lohr, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782309/
https://www.ncbi.nlm.nih.gov/pubmed/26951042
http://dx.doi.org/10.1186/s13014-016-0613-y
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author Buergy, Daniel
Siedlitzki, Lena
Boda-Heggemann, Judit
Wenz, Frederik
Lohr, Frank
author_facet Buergy, Daniel
Siedlitzki, Lena
Boda-Heggemann, Judit
Wenz, Frederik
Lohr, Frank
author_sort Buergy, Daniel
collection PubMed
description BACKGROUND: It is unknown if survival prediction tools (SPTs) sufficiently predict survival in patients who undergo palliative reirradiation of spinal metastases. We therefore set out to clarify if SPTs can predict survival in this patient population. METHODS: We retrospectively analyzed spinal reirradiations performed (n = 58, 52 patients, 44 included in analysis). SPTs for patients with spinal metastases were identified and compared to a general palliative score and to a dedicated SPT to estimate prognosis in palliative reirradiation independent of site (SPT-Nieder). RESULTS: Consistently in all tests, SPT-Nieder showed best predictive performance as compared to other tools. Items associated with survival were general condition (KPS), liver metastases, and steroid use. Other factors like primary tumor site, pleural effusion, and bone metastases were not correlated with survival. We adapted an own score to the data which performed comparable to SPT-Nieder but avoids the pleural effusion item. Both scores showed good performance in identifying long-term survivors with late recurrences. CONCLUSIONS: Survival prediction in case of spinal reirradiation is possible with sufficient predictive separation. Applying SPTs in case of reirradiation helps to identify patients with good life expectancy who might benefit from dose escalation or longer treatment courses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-016-0613-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-47823092016-03-09 Overall survival after reirradiation of spinal metastases – independent validation of predictive models Buergy, Daniel Siedlitzki, Lena Boda-Heggemann, Judit Wenz, Frederik Lohr, Frank Radiat Oncol Research BACKGROUND: It is unknown if survival prediction tools (SPTs) sufficiently predict survival in patients who undergo palliative reirradiation of spinal metastases. We therefore set out to clarify if SPTs can predict survival in this patient population. METHODS: We retrospectively analyzed spinal reirradiations performed (n = 58, 52 patients, 44 included in analysis). SPTs for patients with spinal metastases were identified and compared to a general palliative score and to a dedicated SPT to estimate prognosis in palliative reirradiation independent of site (SPT-Nieder). RESULTS: Consistently in all tests, SPT-Nieder showed best predictive performance as compared to other tools. Items associated with survival were general condition (KPS), liver metastases, and steroid use. Other factors like primary tumor site, pleural effusion, and bone metastases were not correlated with survival. We adapted an own score to the data which performed comparable to SPT-Nieder but avoids the pleural effusion item. Both scores showed good performance in identifying long-term survivors with late recurrences. CONCLUSIONS: Survival prediction in case of spinal reirradiation is possible with sufficient predictive separation. Applying SPTs in case of reirradiation helps to identify patients with good life expectancy who might benefit from dose escalation or longer treatment courses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-016-0613-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-08 /pmc/articles/PMC4782309/ /pubmed/26951042 http://dx.doi.org/10.1186/s13014-016-0613-y Text en © Buergy et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Buergy, Daniel
Siedlitzki, Lena
Boda-Heggemann, Judit
Wenz, Frederik
Lohr, Frank
Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title_full Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title_fullStr Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title_full_unstemmed Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title_short Overall survival after reirradiation of spinal metastases – independent validation of predictive models
title_sort overall survival after reirradiation of spinal metastases – independent validation of predictive models
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782309/
https://www.ncbi.nlm.nih.gov/pubmed/26951042
http://dx.doi.org/10.1186/s13014-016-0613-y
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