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Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases

OBJECTIVES: To evaluate the prognostic relevance of temporal muscle thickness (TMT) in brain metastasis patients. METHODS: We retrospectively analysed TMT on magnetic resonance (MR) images at diagnosis of brain metastasis in two independent cohorts of 188 breast cancer (BC) and 247 non-small cell lu...

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Autores principales: Furtner, Julia, Berghoff, Anna S., Albtoush, Omar M., Woitek, Ramona, Asenbaum, Ulrika, Prayer, Daniela, Widhalm, Georg, Gatterbauer, Brigitte, Dieckmann, Karin, Birner, Peter, Aretin, Bernadette, Bartsch, Rupert, Zielinski, Christoph C., Schöpf, Veronika, Preusser, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491578/
https://www.ncbi.nlm.nih.gov/pubmed/28050694
http://dx.doi.org/10.1007/s00330-016-4707-6
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author Furtner, Julia
Berghoff, Anna S.
Albtoush, Omar M.
Woitek, Ramona
Asenbaum, Ulrika
Prayer, Daniela
Widhalm, Georg
Gatterbauer, Brigitte
Dieckmann, Karin
Birner, Peter
Aretin, Bernadette
Bartsch, Rupert
Zielinski, Christoph C.
Schöpf, Veronika
Preusser, Matthias
author_facet Furtner, Julia
Berghoff, Anna S.
Albtoush, Omar M.
Woitek, Ramona
Asenbaum, Ulrika
Prayer, Daniela
Widhalm, Georg
Gatterbauer, Brigitte
Dieckmann, Karin
Birner, Peter
Aretin, Bernadette
Bartsch, Rupert
Zielinski, Christoph C.
Schöpf, Veronika
Preusser, Matthias
author_sort Furtner, Julia
collection PubMed
description OBJECTIVES: To evaluate the prognostic relevance of temporal muscle thickness (TMT) in brain metastasis patients. METHODS: We retrospectively analysed TMT on magnetic resonance (MR) images at diagnosis of brain metastasis in two independent cohorts of 188 breast cancer (BC) and 247 non-small cell lung cancer (NSCLC) patients (overall: 435 patients). RESULTS: Survival analysis using a Cox regression model showed a reduced risk of death by 19% with every additional millimetre of baseline TMT in the BC cohort and by 24% in the NSCLC cohort. Multivariate analysis included TMT and diagnosis-specific graded prognostic assessment (DS-GPA) as covariates in the BC cohort (TMT: HR 0.791/CI [0.703–0.889]/p < 0.001; DS-GPA: HR 1.433/CI [1.160–1.771]/p = 0.001), and TMT, gender and DS-GPA in the NSCLC cohort (TMT: HR 0.710/CI [0.646–0.780]/p < 0.001; gender: HR 0.516/CI [0.387–0.687]/p < 0.001; DS-GPA: HR 1.205/CI [1.018–1.426]/p = 0.030). CONCLUSION: TMT is easily and reproducibly assessable on routine MR images and is an independent predictor of survival in patients with newly diagnosed brain metastasis from BC and NSCLC. TMT may help to better define frail patient populations and thus facilitate patient selection for therapeutic measures or clinical trials. Further prospective studies are needed to correlate TMT with other clinical frailty parameters of patients. KEY POINTS: • TMT has an independent prognostic relevance in brain metastasis patients. • It is an easily and reproducibly parameter assessable on routine cranial MRI. • This parameter may aid in patient selection and stratification in clinical trials. • TMT may serve as surrogate marker for sarcopenia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4707-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-54915782017-07-13 Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases Furtner, Julia Berghoff, Anna S. Albtoush, Omar M. Woitek, Ramona Asenbaum, Ulrika Prayer, Daniela Widhalm, Georg Gatterbauer, Brigitte Dieckmann, Karin Birner, Peter Aretin, Bernadette Bartsch, Rupert Zielinski, Christoph C. Schöpf, Veronika Preusser, Matthias Eur Radiol Neuro OBJECTIVES: To evaluate the prognostic relevance of temporal muscle thickness (TMT) in brain metastasis patients. METHODS: We retrospectively analysed TMT on magnetic resonance (MR) images at diagnosis of brain metastasis in two independent cohorts of 188 breast cancer (BC) and 247 non-small cell lung cancer (NSCLC) patients (overall: 435 patients). RESULTS: Survival analysis using a Cox regression model showed a reduced risk of death by 19% with every additional millimetre of baseline TMT in the BC cohort and by 24% in the NSCLC cohort. Multivariate analysis included TMT and diagnosis-specific graded prognostic assessment (DS-GPA) as covariates in the BC cohort (TMT: HR 0.791/CI [0.703–0.889]/p < 0.001; DS-GPA: HR 1.433/CI [1.160–1.771]/p = 0.001), and TMT, gender and DS-GPA in the NSCLC cohort (TMT: HR 0.710/CI [0.646–0.780]/p < 0.001; gender: HR 0.516/CI [0.387–0.687]/p < 0.001; DS-GPA: HR 1.205/CI [1.018–1.426]/p = 0.030). CONCLUSION: TMT is easily and reproducibly assessable on routine MR images and is an independent predictor of survival in patients with newly diagnosed brain metastasis from BC and NSCLC. TMT may help to better define frail patient populations and thus facilitate patient selection for therapeutic measures or clinical trials. Further prospective studies are needed to correlate TMT with other clinical frailty parameters of patients. KEY POINTS: • TMT has an independent prognostic relevance in brain metastasis patients. • It is an easily and reproducibly parameter assessable on routine cranial MRI. • This parameter may aid in patient selection and stratification in clinical trials. • TMT may serve as surrogate marker for sarcopenia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-016-4707-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-01-03 2017 /pmc/articles/PMC5491578/ /pubmed/28050694 http://dx.doi.org/10.1007/s00330-016-4707-6 Text en © The Author(s) 2016 Open Access This 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.
spellingShingle Neuro
Furtner, Julia
Berghoff, Anna S.
Albtoush, Omar M.
Woitek, Ramona
Asenbaum, Ulrika
Prayer, Daniela
Widhalm, Georg
Gatterbauer, Brigitte
Dieckmann, Karin
Birner, Peter
Aretin, Bernadette
Bartsch, Rupert
Zielinski, Christoph C.
Schöpf, Veronika
Preusser, Matthias
Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title_full Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title_fullStr Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title_full_unstemmed Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title_short Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
title_sort survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
topic Neuro
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491578/
https://www.ncbi.nlm.nih.gov/pubmed/28050694
http://dx.doi.org/10.1007/s00330-016-4707-6
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