Literature DB >> 34749251

Validation of skeletal muscle mass assessment at the level of the third cervical vertebra in patients with head and neck cancer.

S I Bril1, N Chargi1, A W Wendrich2, I Wegner3, G H Bol4, E J Smid4, P A de Jong5, L A Devriese6, R de Bree7.   

Abstract

BACKGROUND: Low skeletal muscle mass (SMM) is associated with adverse outcomes. SMM is often assessed at the third lumbar vertebra (L3) on abdominal imaging. Abdominal imaging is not routinely performed in patients with head and neck cancer (HNC). We aim to validate SMM measurement at the level of the third cervical vertebra (C3) on head and neck imaging.
MATERIAL AND METHODS: Patients with pre-treatment whole-body computed tomography (CT) between 2010 and 2018 were included. Cross-sectional muscle area (CSMA) was manually delineated at the level of C3 and L3. Correlation coefficients and intraclass correlation coefficients (ICCs) were calculated. Cohen's kappa was used to assess the reliability of identifying a patient with low SMM.
RESULTS: Two hundred patients were included. Correlation between CSMA at the level of C3 and L3 was good (r = 0.75, p < 0.01). Using a multivariate formula to estimate CSMA at L3, including gender, age, and weight, correlation improved (r = 0.82, p < 0.01). The agreement between estimated and actual CSMA at L3 was good (ICC 0.78, p < 0.01). There was moderate agreement in the identification of patients with low SMM based on the estimated lumbar skeletal muscle mass index (LSMI) and actual LSMI (Cohen's κ: 0.57, 95%CI 0.45-0.69).
CONCLUSIONS: CSMA at C3 correlates well with CSMA at L3. There is moderate agreement in the identification of patients with low SMM based on the estimated lumbar SMI (based on measurement at C3) and actual LSMI.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Body composition; Computed tomography; Head and neck cancer; Image analysis; Sarcopenia

Mesh:

Year:  2021        PMID: 34749251     DOI: 10.1016/j.oraloncology.2021.105617

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  1 in total

1.  Establishment and Validation of Pre-Therapy Cervical Vertebrae Muscle Quantification as a Prognostic Marker of Sarcopenia in Patients With Head and Neck Cancer.

Authors:  Brennan Olson; Jared Edwards; Catherine Degnin; Nicole Santucci; Michelle Buncke; Jeffrey Hu; Yiyi Chen; Clifton D Fuller; Mathew Geltzeiler; Aaron J Grossberg; Daniel Clayburgh
Journal:  Front Oncol       Date:  2022-02-14       Impact factor: 5.738

  1 in total

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