Skip to main content
Top
Published in: European Radiology 8/2017

Open Access 01-08-2017 | Neuro

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

Authors: Julia Furtner, Anna S. Berghoff, Omar M. Albtoush, Ramona Woitek, Ulrika Asenbaum, Daniela Prayer, Georg Widhalm, Brigitte Gatterbauer, Karin Dieckmann, Peter Birner, Bernadette Aretin, Rupert Bartsch, Christoph C. Zielinski, Veronika Schöpf, Matthias Preusser

Published in: European Radiology | Issue 8/2017

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Preusser M, Capper D, Ilhan-Mutlu A et al (2012) Brain metastases: pathobiology and emerging targeted therapies. Acta Neuropathol 123:205–222CrossRefPubMed Preusser M, Capper D, Ilhan-Mutlu A et al (2012) Brain metastases: pathobiology and emerging targeted therapies. Acta Neuropathol 123:205–222CrossRefPubMed
2.
3.
go back to reference Arvold ND, Lee EQ, Mehta MP et al (2016) Updates in the management of brain metastases. Neuro Oncol 18:1043–1065CrossRefPubMed Arvold ND, Lee EQ, Mehta MP et al (2016) Updates in the management of brain metastases. Neuro Oncol 18:1043–1065CrossRefPubMed
4.
go back to reference Berghoff AS, Schur S, Füreder LM et al (2016) Descriptive statistical analysis of a real life cohort of 2419 patients with brain metastases of solid cancers. ESMO Open 1, e000024CrossRefPubMedPubMedCentral Berghoff AS, Schur S, Füreder LM et al (2016) Descriptive statistical analysis of a real life cohort of 2419 patients with brain metastases of solid cancers. ESMO Open 1, e000024CrossRefPubMedPubMedCentral
5.
go back to reference Sperduto PW, Kased N, Roberge D et al (2012) Summary report on the graded prognostic assessment: an accurate and facile diagnosis-specific tool to estimate survival for patients with brain metastases. J Clin Oncol 30:419–425CrossRefPubMed Sperduto PW, Kased N, Roberge D et al (2012) Summary report on the graded prognostic assessment: an accurate and facile diagnosis-specific tool to estimate survival for patients with brain metastases. J Clin Oncol 30:419–425CrossRefPubMed
6.
go back to reference Kondziolka D, Parry PV, Lunsford LD et al (2014) The accuracy of predicting survival in individual patients with cancer. J Neurosurg 120:24–30CrossRefPubMed Kondziolka D, Parry PV, Lunsford LD et al (2014) The accuracy of predicting survival in individual patients with cancer. J Neurosurg 120:24–30CrossRefPubMed
7.
go back to reference Taylor AE, Olver IN, Sivanthan T et al (1999) Observer error in grading performance status in cancer patients. Support Care Cancer 7:332–335CrossRefPubMed Taylor AE, Olver IN, Sivanthan T et al (1999) Observer error in grading performance status in cancer patients. Support Care Cancer 7:332–335CrossRefPubMed
8.
go back to reference Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489–495CrossRefPubMed Fearon K, Strasser F, Anker SD et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489–495CrossRefPubMed
9.
go back to reference Prado CM, Lieffers JR, McCargar LJ et al (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9:629–635CrossRefPubMed Prado CM, Lieffers JR, McCargar LJ et al (2008) Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol 9:629–635CrossRefPubMed
10.
go back to reference Tamandl D, Paireder M, Asari R et al (2016) Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer. Eur Radiol 26:1359–1367CrossRefPubMed Tamandl D, Paireder M, Asari R et al (2016) Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer. Eur Radiol 26:1359–1367CrossRefPubMed
11.
go back to reference Martin L, Birdsell L, MacDonald N et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 31:1539–1547CrossRefPubMed Martin L, Birdsell L, MacDonald N et al (2013) Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 31:1539–1547CrossRefPubMed
12.
go back to reference Jones KI, Doleman B, Scott S et al (2015) Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications. Color Dis 17:O20–O26CrossRef Jones KI, Doleman B, Scott S et al (2015) Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications. Color Dis 17:O20–O26CrossRef
13.
go back to reference Ranganathan K, Terjimanian M, Lisiecki J et al (2014) Temporalis muscle morphomics: the psoas of the craniofacial skeleton. J Surg Res 186:246–252CrossRefPubMed Ranganathan K, Terjimanian M, Lisiecki J et al (2014) Temporalis muscle morphomics: the psoas of the craniofacial skeleton. J Surg Res 186:246–252CrossRefPubMed
14.
go back to reference Bender R, Lange S (2001) Adjusting for multiple testing - when and how? J Clin Epidemiol 54:343–349CrossRefPubMed Bender R, Lange S (2001) Adjusting for multiple testing - when and how? J Clin Epidemiol 54:343–349CrossRefPubMed
15.
go back to reference Kilgour AHM, Subedi D, Gray CD et al (2012) Design and validation of a novel method to measure cross-sectional area of neck muscles included during routine mr brain volume imaging. PLoS One 7, e34444CrossRefPubMedPubMedCentral Kilgour AHM, Subedi D, Gray CD et al (2012) Design and validation of a novel method to measure cross-sectional area of neck muscles included during routine mr brain volume imaging. PLoS One 7, e34444CrossRefPubMedPubMedCentral
16.
go back to reference Argilés JM, Busquets S, López-Soriano FJ et al (2012) Are there any benefits of exercise training in cancer cachexia? J Cachex Sarcopenia Muscle 3:73–76CrossRef Argilés JM, Busquets S, López-Soriano FJ et al (2012) Are there any benefits of exercise training in cancer cachexia? J Cachex Sarcopenia Muscle 3:73–76CrossRef
17.
go back to reference Di Girolamo FG, Situlin R, Mazzucco S et al (2014) Omega-3 fatty acids and protein metabolism: enhancement of anabolic interventions for sarcopenia. Curr Opin Clin Nutr Metab Care 17:145–150CrossRefPubMed Di Girolamo FG, Situlin R, Mazzucco S et al (2014) Omega-3 fatty acids and protein metabolism: enhancement of anabolic interventions for sarcopenia. Curr Opin Clin Nutr Metab Care 17:145–150CrossRefPubMed
18.
go back to reference Padhi D, Higano CS, Shore ND et al (2014) Pharmacological inhibition of myostatin and changes in lean body mass and lower extremity muscle size in patients receiving androgen deprivation therapy for prostate cancer. J Clin Endocrinol Metab 99:E1967–E1975CrossRefPubMed Padhi D, Higano CS, Shore ND et al (2014) Pharmacological inhibition of myostatin and changes in lean body mass and lower extremity muscle size in patients receiving androgen deprivation therapy for prostate cancer. J Clin Endocrinol Metab 99:E1967–E1975CrossRefPubMed
19.
go back to reference Dallmann R, Weyermann P, Anklin C et al (2011) The orally active melanocortin-4 receptor antagonist BL-6020/979: a promising candidate for the treatment of cancer cachexia. J Cachex Sarcopenia Muscle 2:163–174CrossRef Dallmann R, Weyermann P, Anklin C et al (2011) The orally active melanocortin-4 receptor antagonist BL-6020/979: a promising candidate for the treatment of cancer cachexia. J Cachex Sarcopenia Muscle 2:163–174CrossRef
Metadata
Title
Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases
Authors
Julia Furtner
Anna S. Berghoff
Omar M. Albtoush
Ramona Woitek
Ulrika Asenbaum
Daniela Prayer
Georg Widhalm
Brigitte Gatterbauer
Karin Dieckmann
Peter Birner
Bernadette Aretin
Rupert Bartsch
Christoph C. Zielinski
Veronika Schöpf
Matthias Preusser
Publication date
01-08-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 8/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-016-4707-6

Other articles of this Issue 8/2017

European Radiology 8/2017 Go to the issue