High correlation of temporal muscle thickness with lumbar skeletal muscle cross-sectional area in patients with brain metastases

Johannes Leitner, Sebastian Pelster, Veronika Schöpf, Anna S Berghoff, Ramona Woitek, Ulrika Asenbaum, Karl-Heinz Nenning, Georg Widhalm, Barbara Kiesel, Brigitte Gatterbauer, Karin Dieckmann, Peter Birner, Daniela Prayer, Matthias Preusser, Julia Furtner, Johannes Leitner, Sebastian Pelster, Veronika Schöpf, Anna S Berghoff, Ramona Woitek, Ulrika Asenbaum, Karl-Heinz Nenning, Georg Widhalm, Barbara Kiesel, Brigitte Gatterbauer, Karin Dieckmann, Peter Birner, Daniela Prayer, Matthias Preusser, Julia Furtner

Abstract

Objectives: This study aimed to assess the correlation of temporal muscle thickness (TMT), measured on routine cranial magnetic resonance (MR) images, with lumbar skeletal muscles obtained on computed tomography (CT) images in brain metastasis patients to establish a new parameter estimating skeletal muscle mass on brain MR images.

Methods: We retrospectively analyzed the cross-sectional area (CSA) of skeletal muscles at the level of the third lumbar vertebra on computed tomography scans and correlated these values with TMT on MR images of the brain in two independent cohorts of 93 lung cancer and 61 melanoma patients (overall: 154 patients) with brain metastases.

Results: Pearson correlation revealed a strong association between mean TMT and CSA in lung cancer and melanoma patients with brain metastases (0.733; p<0.001). The two study cohorts did not differ significantly in patient characteristics, including age (p = 0.661), weight (p = 0.787), and height (p = 0.123). However, TMT and CSA measures differed significantly between male and female patients in both lung cancer and melanoma patients with brain metastases (p<0.001).

Conclusion: Our data indicate that TMT, measured on routine cranial MR images, is a useful surrogate parameter for the estimation of skeletal muscle mass in patients with brain metastases. Thus, TMT may be useful for prognostic assessment, treatment considerations, and stratification or a selection factor for clinical trials in patients with brain metastases. Further studies are needed to assess the association between TMT and clinical frailty parameters, and the usefulness of TMT in patients with primary brain tumors.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1
Examples of CSA measurements on CT images (A, C) and TMT measurements on brain MR images (B, D) in two melanoma patients with brain metastases. A, B, a male patient with an estimated normal skeletal muscle mass (mean CSA = 191.61 mm2; mean TMT = 7.3 mm) and C,D, a female patient with considerable estimated skeletal muscle mass loss (mean CSA = 106.07 mm2; mean TMT = 4.5 mm).
Fig 2. Correlation between CSA of the…
Fig 2. Correlation between CSA of the skeletal muscles at the third lumbar vertebra and the mean TMT values in melanoma (☐) and lung cancer (Δ) patients with brain metastases.
Fig 3. Correlation between SMI values and…
Fig 3. Correlation between SMI values and mean TMT values in melanoma (☐) and lung cancer (Δ) patients with brain metastases.

References

    1. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147:755–63.
    1. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis. Age Ageing. 2010;39:412–23.
    1. De Souza VA, Oliveira D, Barbosa SR, Corrêa JODA, Colugnati FAB, Mansur HN, et al. Sarcopenia in patients with chronic kidney disease not yet on dialysis: Analysis of the prevalence and associated factors. PLoS One. 2017;12:e0176230
    1. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: An international consensus. The Lancet Oncology. 2011;12:489–95.
    1. Prado CM, Lieffers JR, McCargar LJ, Reiman T, Sawyer MB, Martin L, et al. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: a population-based study. Lancet Oncol. 2008;9:629–35.
    1. Choi Y, Oh D-Y, Kim T-Y, Lee K-H, Han S-W, Im S-A, et al. Skeletal Muscle Depletion Predicts the Prognosis of Patients with Advanced Pancreatic Cancer Undergoing Palliative Chemotherapy, Independent of Body Mass Index. PLoS One. 2015; 10:e0139749
    1. Albanese C, Diessel E, Genant H. Clinical Applications of Body Composition Measurements Using DXA. J Clin Densitom. 2003;6:75–85.
    1. Mourtzakis M, Prado CMM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008;33:997–1006.
    1. Martin L, Birdsell L, MacDonald N, Reiman T, Clandinin MT, McCargar LJ, et al. Cancer cachexia in the age of obesity: Skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31:1539–47.
    1. Van Vledder MG, Levolger S, Ayez N, Verhoef C, Tran TCK, Ijzermans JNM. Body composition and outcome in patients undergoing resection of colorectal liver metastases. Br J Surg. 2012;99:550–7.
    1. Swartz JE, Pothen AJ, Wegner I, Smid EJ, Swart KMA, de Bree R, et al. Feasibility of using head and neck CT imaging to assess skeletal muscle mass in head and neck cancer patients. Oral Oncol. 2016; 62:28–33.
    1. Ranganathan K, Terjimanian M, Lisiecki J, Rinkinen J, Mukkamala A, Brownley C, et al. Temporalis muscle morphomics: The psoas of the craniofacial skeleton. J Surg Res. 2014;186:246–52.
    1. Furtner J, Berghoff AS, Albtoush OM, Woitek R, Asenbaum U, Prayer D, et al. Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases. Eur Radiol. 2017;27:3167–3173.
    1. Berghoff AS, Schur S, Füreder LM, Gatterbauer B, Dieckmann K, Widhalm G, et al. Descriptive statistical analysis of a real life cohort of 2419 patients with brain metastases of solid cancers. ESMO Open. 2016;1:e000024
    1. Nayak L, Lee EQ, Wen PY. Epidemiology of brain metastases. Curr Oncol Rep. 2012;14:48–54.
    1. Gomez-Perez SL, Haus JM, Sheean P, Patel B, Mar W, Chaudhry V, et al. Measuring abdominal circumference and skeletal muscle from a single cross-sectional CT image: a step-by-step guide for clinicians using National Institutes of Health ImageJ.JPEN J Parenter Enter Nutr. 2016;40:308–18.
    1. Tamandl D, Paireder M, Asari R, Baltzer PA, Schoppmann SF, Ba-Ssalamah A. Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer. Eur Radiol. Springer Verlag; 2016;26:1359–67.
    1. Simonsen C, Heer P De, Bjerre ED, Suetta C, Hojman P, Pedersen BK, et al. Sarcopenia and Postoperative Complication Risk in Gastrointestinal Surgical Oncology. AnnSurg. 2018;Accepted(Xx):1–12.
    1. Kilgour AHM, Subedi D, Gray CD, Deary IJ, Lawrie SM, Wardlaw JM, et al. Design and validation of a novel method to measure cross-sectional area of neck muscles included during routine mr brain volume imaging. PLoS One. 2012;7:e34444
    1. Qazi SL, Rikkonen T, Kröger H, Honkanen R, Isanejad M, Airaksinen O, et al. Relationship of body anthropometric measures with skeletal muscle mass and strength in a reference cohort of young finnish women. J Musculoskelet Neuronal Interact. 2017; 17:192–196.
    1. Han DS, Chang KV, Li CM, Lin YH, Kao TW, Tsai KS, et al. Skeletal muscle mass adjusted by height correlated better with muscular functions than that adjusted by body weight in defining sarcopenia. Sci Rep. 2016;6:19457
    1. Grunheid T, Langenbach GEJ, Korfage JAM, Zentner A, Van Eijden TMGJ. The adaptive response of jaw muscles to varying functional demands. Eur J Orthod. 2009;31:596–612.

Source: PubMed

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