Skeletal muscle mass at C3 may not be a strong predictor for skeletal muscle mass at L3 in sarcopenic patients with head and neck cancer

Purpose To evaluate the feasibility of using skeletal muscle mass (SMM) at C3 (C3 SMM) as a diagnostic marker for sarcopenia in head and neck cancer (HNC) patients. Methods We evaluated 165 HNC patients and 42 healthy adults who underwent 18F-fluorodeoxyglucose positron emission tomography/computed tomography scans. The paravertebral muscle area at C3 and skeletal muscle area at L3 were measured by CT. Pearson’s correlation was used to assess the relationship between L3 and C3 SMMs. The prediction model for L3 SMM was developed by multiple linear regression. Then the correlation and the agreement between actual and predicted L3 SMMs were assessed. To evaluate the diagnostic value of C3 SMM for sarcopenia, the receiver operating characteristics (ROC) curves were analyzed. Results Of the 165 HNC patients, 61 (37.0%) were sarcopenic and 104 (63.0%) were non-sarcopenic. A very strong correlation was found between L3 SMM and C3 SMM in both healthy adults (r = 0.864) and non-sarcopenic patients (r = 0.876), while a fair association was found in sarcopenic patients (r = 0.381). Prediction model showed a very strong correlation between actual SMM and predicted L3 SMM in both non-sarcopenic patients and healthy adults (r > 0.9), whereas the relationship was moderate in sarcopenic patients (r = 0.7633). The agreement between two measurements was good for healthy subjects and non-sarcopenic patients, while it was poor for sarcopenic patients. On ROC analysis, predicted L3 SMM showed poor diagnostic accuracy for sarcopenia. Conclusions A correlation between L3 and C3 SMMs was weak in sarcopenic patients. A prediction model also showed a poor diagnostic accuracy. Therefore, C3 SMM may not be a strong predictor for L3 SMM in sarcopenic patients with HNC.

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Skeletal muscle mass at C3 is a strong predictor for skeletal muscle mass at L3 in sarcopenic and non-sarcopenic patients with head and neck cancer

Oral Oncology ◽

10.1016/j.oraloncology.2021.105558 ◽

2021 ◽

Vol 122 ◽

pp. 105558

Author(s):

Sandra I. Bril ◽

M.A. van Beers ◽

N. Chargi ◽

N. Carrillo Minulina ◽

E.J. Smid ◽

...

Keyword(s):

Skeletal Muscle ◽

Head And Neck Cancer ◽

Head And Neck ◽

Muscle Mass ◽

Neck Cancer ◽

Skeletal Muscle Mass ◽

Strong Predictor

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Association between hand muscle thickness and whole-body skeletal muscle mass in healthy adults: a pilot study

Journal of Physical Therapy Science ◽

10.1589/jpts.29.1644 ◽

2017 ◽

Vol 29 (9) ◽

pp. 1644-1648 ◽

Cited By ~ 6

Author(s):

Akio Morimoto ◽

Tadashi Suga ◽

Nobuaki Tottori ◽

Michio Wachi ◽

Jun Misaki ◽

...

Keyword(s):

Skeletal Muscle ◽

Pilot Study ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Muscle Thickness ◽

Healthy Adults ◽

Whole Body ◽

Hand Muscle

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Correlation between skeletal muscle mass index and parameters of respiratory function and muscle strength in young healthy adults according to gender

Journal of Physical Therapy Science ◽

10.1589/jpts.30.1424 ◽

2018 ◽

Vol 30 (12) ◽

pp. 1424-1427 ◽

Cited By ~ 5

Author(s):

Yohei Sawaya ◽

Masahiro Ishizaka ◽

Akira Kubo ◽

Kaori Sadakiyo ◽

Akihiro Yakabi ◽

...

Keyword(s):

Skeletal Muscle ◽

Muscle Strength ◽

Muscle Mass ◽

Respiratory Function ◽

Skeletal Muscle Mass ◽

Healthy Adults ◽

Skeletal Muscle Mass Index

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Appendicular skeletal muscle mass (ASMM) percentiles in 7489 healthy adults aged 18–98 years determined by bioelectrical impedance analysis (BIA)

Clinical Nutrition ◽

10.1016/s0261-5614(03)80003-1 ◽

2003 ◽

Vol 22 ◽

pp. S1 ◽

Cited By ~ 1

Author(s):

U.G. Kyle ◽

Y.M. Dupertuis ◽

C.A. Raguso ◽

D. Hans ◽

C. Pichard

Keyword(s):

Skeletal Muscle ◽

Muscle Mass ◽

Bioelectrical Impedance Analysis ◽

Skeletal Muscle Mass ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Healthy Adults ◽

Appendicular Skeletal Muscle ◽

Appendicular Skeletal Muscle Mass

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Sarcopenia measured with handgrip strength and skeletal muscle mass to assess frailty in older patients with head and neck cancer

Journal of Geriatric Oncology ◽

10.1016/j.jgo.2020.10.002 ◽

2020 ◽

Author(s):

Christiaan D.A. Meerkerk ◽

Najiba Chargi ◽

Pim A. de Jong ◽

Frederiek van den Bos ◽

Remco de Bree

Keyword(s):

Skeletal Muscle ◽

Head And Neck Cancer ◽

Head And Neck ◽

Muscle Mass ◽

Neck Cancer ◽

Older Patients ◽

Skeletal Muscle Mass ◽

Handgrip Strength

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Skeletal muscle mass and sarcopenia can be determined with 1.5-T and 3-T neck MRI scans, in the event that no neck CT scan is performed

European Radiology ◽

10.1007/s00330-020-07440-1 ◽

2020 ◽

Author(s):

Aniek T. Zwart ◽

Jan-Niklas Becker ◽

Maria J. Lamers ◽

Rudi A. J. O. Dierckx ◽

Geertruida H. de Bock ◽

...

Keyword(s):

Skeletal Muscle ◽

Head And Neck Cancer ◽

Head And Neck ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Correlation Coefficients ◽

Adverse Outcomes ◽

Ct Scans ◽

Mri Scans ◽

Ct And Mri

Abstract Objectives Cross-sectional area (CSA) measurements of the neck musculature at the level of third cervical vertebra (C3) on CT scans are used to diagnose radiological sarcopenia, which is related to multiple adverse outcomes in head and neck cancer (HNC) patients. Alternatively, these assessments are performed with neck MRI, which has not been validated so far. For that, the objective was to evaluate whether skeletal muscle mass and sarcopenia can be assessed on neck MRI scans. Methods HNC patients were included between November 2014 and November 2018 from a prospective data-biobank. CSAs of the neck musculature at the C3 level were measured on CT (n = 125) and MRI neck scans (n = 92 on 1.5-T, n = 33 on 3-T). Measurements were converted into skeletal muscle index (SMI), and sarcopenia was defined (SMI < 43.2 cm2/m2). Pearson correlation coefficients, Bland–Altman plots, McNemar test, Cohen’s kappa coefficients, and interclass correlation coefficients (ICCs) were estimated. Results CT and MRI correlated highly on CSA and SMI (r = 0.958–0.998, p < 0.001). The Bland–Altman plots showed a nihil mean ΔSMI (− 0.13–0.44 cm2/m2). There was no significant difference between CT and MRI in diagnosing sarcopenia (McNemar, p = 0.5–1.0). Agreement on sarcopenia diagnosis was good with κ = 0.956–0.978 and κ = 0.870–0.933, for 1.5-T and 3-T respectively. Observer ICCs in MRI were excellent. In general, T2-weighted images had the best correlation and agreement with CT. Conclusions Skeletal muscle mass and sarcopenia can interchangeably be assessed on CT and 1.5-T and 3-T MRI neck scans. This allows future clinical outcome assessment during treatment irrespective of used modality. Key Points • Screening for low amount of skeletal muscle mass is usually measured on neck CT scans and is highly clinical relevant as it is related to multiple adverse outcomes in head and neck cancer patients. • We found that skeletal muscle mass and sarcopenia determined on CT and 1.5-T and 3-T MRI neck scans at the C3 level can be used interchangeably. • When CT imaging of the neck is missing for skeletal muscle mass analysis, patients can be assessed with 1.5-T or 3-T neck MRIs.

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The relationship between hepatic steatosis and skeletal muscle mass index in men with type 2 diabetes

Endocrine Journal ◽

10.1507/endocrj.ej16-0124 ◽

2016 ◽

Vol 63 (10) ◽

pp. 877-884 ◽

Cited By ~ 36

Author(s):

Yoshitaka Hashimoto ◽

Takafumi Osaka ◽

Takuya Fukuda ◽

Muhei Tanaka ◽

Masahiro Yamazaki ◽

...

Keyword(s):

Type 2 Diabetes ◽

Skeletal Muscle ◽

Hepatic Steatosis ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Skeletal Muscle Mass Index ◽

The Relationship

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Loss of skeletal muscle mass affects the incidence of minimal hepatic encephalopathy: A case control study

10.21203/rs.3.rs-42056/v3 ◽

2020 ◽

Author(s):

Masakuni Tateyama ◽

Hideaki Naoe ◽

Motohiko Tanaka ◽

Kentaro Tanaka ◽

Satoshi Narahara ◽

...

Keyword(s):

Skeletal Muscle ◽

Hepatic Encephalopathy ◽

Mass Loss ◽

Muscle Mass ◽

Odds Ratio ◽

Skeletal Muscle Mass ◽

Psoas Muscle ◽

Minimal Hepatic Encephalopathy ◽

Muscle Area ◽

Muscle Mass Loss

Abstract Background: Sarcopenia is a syndrome characterized by progressive and systemic decreases in skeletal muscle mass and muscle strength. The influence or prognosis of various liver diseases in this condition have been widely investigated, but little is known about whether sarcopenia and/or muscle mass loss are related to minimal hepatic encephalopathy (MHE).Methods: To clarify the relationship between MHE and sarcopenia and/or muscle mass loss in patients with liver cirrhosis.Methods: Ninety-nine patients with liver cirrhosis were enrolled. MHE was diagnosed by a neuropsychiatric test. Skeletal mass index (SMI) and Psoas muscle index (PMI) were calculated by dividing skeletal muscle area and psoas muscle area at the third lumbar vertebra by the square of height in meters, respectively, to evaluate muscle volume.Results: This study enrolled 99 patients (61 males, 38 females). MHE was detected in 48 cases (48.5%) and sarcopenia in 6 cases (6.1%). Patients were divided into two groups, with or without MHE. Comparing groups, no significant differences were seen in serum ammonia concentration or rate of sarcopenia. SMI was smaller in patients with MHE (46.4 cm2/m2) than in those without (51.2 cm2/m2, P = 0.027). Similarly, PMI was smaller in patients with MHE (4.24 cm2/m2) than in those without (5.53 cm2/m2, P = 0.003). Skeletal muscle volume, which is represented by SMI or PMI was a predictive factor related to MHE (SMI ≥ 50 cm2/m2; odds ratio 0.300, P = 0.002, PMI ≥ 4.3 cm2/m2; odds ratio 0.192, P = 0.001).Conclusions: Muscle mass loss was related to minimal hepatic encephalopathy, although sarcopenia was not. Measurement of muscle mass loss might be useful to predict MHE.

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Low muscle mass assessed by psoas muscle area is associated with clinical adverse events in elderly patients with heart failure

PLoS ONE ◽

10.1371/journal.pone.0247140 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0247140

Author(s):

Takehiro Funamizu ◽

Yuji Nagatomo ◽

Mike Saji ◽

Nobuo Iguchi ◽

Hiroyuki Daida ◽

...

Keyword(s):

Heart Failure ◽

Skeletal Muscle ◽

Adverse Events ◽

Elderly Patients ◽

Muscle Mass ◽

Skeletal Muscle Mass ◽

Psoas Muscle ◽

Composite Endpoint ◽

Left Ventricular Ejection ◽

Muscle Area

Background Acute decompensated heart failure (ADHF) is a growing healthcare burden with increasing prevalence and comorbidities due to progressive aging society. Accumulating evidence suggest that low skeletal muscle mass has a negative impact on clinical outcome in elderly adult population. We sought to determine the significance of psoas muscle area as a novel index of low skeletal muscle mass in elderly patients with ADHF. Methods In this single-center retrospective observational study, we reviewed consecutive 865 elderly participants (65 years or older) who were hospitalized for ADHF and 392 were available for analysis (79 years [74–85], 56% male). Cross-sectional areas of psoas muscle at the level of fourth lumbar vertebra were measured by computed tomography and normalized by the square of height to calculate psoas muscle index (PMI, cm2/m2). Results Dividing the patients by the gender-specific quartile value (2.47 cm2/m2 for male and 1.68 cm2/m2 for female), we defined low PMI as the lowest gender-based quartile of PMI. Multiple linear regression analysis revealed female sex, body mass index (BMI), and E/e’, but not left ventricular ejection fraction, were independently associated with PMI. Kaplan-Meier analysis showed low PMI was associated with higher rate of composite endpoint of all-cause death and ADHF re-hospitalization (P = 0.033). Cox proportional hazard model analysis identified low PMI, but not BMI, was an independent predictor of the composite endpoint (Hazard ratio: 1.52 [1.06–2.16], P = 0.024). Conclusions PMI predicted future clinical adverse events in elderly patients with ADHF. Further studies are needed to assess whether low skeletal muscle mass can be a potential therapeutic target to improve the outcome of ADHF.

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