Single cross-sectional area of pectoralis muscle by computed tomography - correlation with bioelectrical impedance based skeletal muscle mass in healthy subjects

2015 ◽  
Vol 37 (5) ◽  
pp. 507-511 ◽  
Author(s):  
Young Saing Kim ◽  
Eun Young Kim ◽  
Shin Myung Kang ◽  
Hee Kyung Ahn ◽  
Hyung Sik Kim
Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 755 ◽  
Author(s):  
Carina O. Walowski ◽  
Wiebke Braun ◽  
Michael J. Maisch ◽  
Björn Jensen ◽  
Sven Peine ◽  
...  

Assessment of a low skeletal muscle mass (SM) is important for diagnosis of ageing and disease-associated sarcopenia and is hindered by heterogeneous methods and terminologies that lead to differences in diagnostic criteria among studies and even among consensus definitions. The aim of this review was to analyze and summarize previously published cut-offs for SM applied in clinical and research settings and to facilitate comparison of results between studies. Multiple published reference values for discrepant parameters of SM were identified from 64 studies and the underlying methodological assumptions and limitations are compared including different concepts for normalization of SM for body size and fat mass (FM). Single computed tomography or magnetic resonance imaging images and appendicular lean soft tissue by dual X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) are taken as a valid substitute of total SM because they show a high correlation with results from whole body imaging in cross-sectional and longitudinal analyses. However, the random error of these methods limits the applicability of these substitutes in the assessment of individual cases and together with the systematic error limits the accurate detection of changes in SM. Adverse effects of obesity on muscle quality and function may lead to an underestimation of sarcopenia in obesity and may justify normalization of SM for FM. In conclusion, results for SM can only be compared with reference values using the same method, BIA- or DXA-device and an appropriate reference population. Limitations of proxies for total SM as well as normalization of SM for FM are important content-related issues that need to be considered in longitudinal studies, populations with obesity or older subjects.


2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 222-222 ◽  
Author(s):  
Samuel Craig Brondfield ◽  
Vivian K. Weinberg ◽  
Kathryn M. Koepfgen ◽  
Arturo Molina ◽  
Charles J. Ryan ◽  
...  

222 Background: AA, an inhibitor of androgen biosynthesis, has been shown to prolong overall survival in patients with mCRPC who have previously been treated with chemotherapy. Androgen deprivation therapy (ADT) has been shown to result in muscle wasting in prostate cancer pts. The effects of AA on progression of muscle and fat wasting have not been characterized. We evaluated whether 6 months of AA therapy altered total skeletal muscle mass or adipose mass. Methods: 10 sequential pts who responded to AA therapy for at least 6 months and had available computed tomography (CT) scans were retrospectively selected from the phase I-II COU-AA-002 study. CT image analysis was used to quantify change from baseline in total skeletal muscle and adipose tissue after 6 months of AA treatment. Skeletal muscle and adipose tissue cross-sectional area were calculated at the L3 level using Slice-O-Matic software V4.3. Previously published regression models were used to estimate fat-free mass, fat mass and skeletal muscle mass. Paired t-tests were performed to determine the change in measurements. Results: At baseline, 7 of 10 pts were overweight or obese (body mass index [BMI] > 25 kg/m2), and none were underweight. Advanced muscle wasting (sarcopenia, previously defined as the ratio of skeletal muscle cross-sectional area at L3 level to height < 52.4 cm2/m2) was present at baseline and 6 months in 9 of 10 pts. Over 6 months of AA treatment, pts lost an average of 1.9 kg ± 1.9 kg (p = 0.13). Mean changes (kg) (±standard deviation) in total skeletal muscle mass (−0.80 ± 1.71, p = 0.18) and total non-adipose mass (−1.44 ± 3.09, p = 0.17) were not significant. A significant decrease in total adipose mass (−0.61 ± 0.84, p = 0.048) was observed. Conclusions: Sarcopenia is prevalent in pts with mCRPC. AA was not related to significantly worsening sarcopenia or overall weight loss during the first 6 months of treatment; however, this may reflect a relatively short duration of therapy and/or small sample size. A significant loss of adipose tissue was observed, which is unexpected given the known effects of ADT, which increases adipose mass. Evaluation of additional AA treated patients is ongoing.


2021 ◽  
Author(s):  
Yumin Wang ◽  
Satoshi Ikeda ◽  
Katsunori Ikoma

Abstract Mechanical stimulation has benefits for muscle mass and function. Passive stretching is widely performed in clinical rehabilitation medicine. However, the hypertrophic effects of passive repetitive stretching on senescent skeletal muscles against muscle atrophy remain unknown. We used senescence-accelerated model SAM-P8 mice. The gastrocnemius muscle was passively repetitive stretched by manual ankle dorsiflexion for 15 min, 5 days a week for 2 weeks under deep anesthesia. We examined the effects of passive stretching on muscle mass, myofiber cross-sectional area, muscle fiber type and composition, satellite cell content, mRNA expression of the signaling pathways involved in muscle protein synthesis, muscle-specific ubiquitin ligases, and myogenic regulatory factors. The gastrocnemius muscle weight of the stretched side increased compared with that of the unstretched side. In addition to the increase in muscle mass, muscle fiber cross-sectional area of the stretched side was greater than that of the unstretched side. Passive repetitive stretching significantly increased the mRNA expression level of Akt, p70S6K, 4E-BP1, Myf5, myogenin, MuRF1. Passive repetitive stretching promoted skeletal muscle mass and myofiber cross-sectional area in SAM-P8 mice. These hypertrophic observations are attributable to the stretch-activated signaling pathways involved in protein turnover. These findings are applicable to clinical muscle strengthening and sarcopenia prevention.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e15137-e15137
Author(s):  
Samuel Craig Brondfield ◽  
Vivian K. Weinberg ◽  
Kathryn M. Koepfgen ◽  
Arturo Molina ◽  
Charles J. Ryan ◽  
...  

e15137 Background: AA, an inhibitor of androgen biosynthesis, has been shown to prolong overall survival in patients with mCRPC who have previously been treated with chemotherapy. ADT has been shown to result in muscle wasting in prostate cancer patients. The effects of AA on progression of muscle and fat wasting have not been characterized. We evaluated whether 6 months of AA therapy altered total skeletal muscle mass or adipose mass. Methods: 10 sequential patients who responded to AA therapy for at least 6 months and had available computed tomography (CT) scans were retrospectively selected from the phase I-II COU-AA-002 study. CT image analysis was used to quantify change from baseline in total skeletal muscle and adipose tissue after 6 months of AA treatment. Skeletal muscle and adipose tissue cross-sectional area were calculated at the L3 level using Slice-O-Matic software V4.3. Previously published regression models were used to estimate fat-free mass, fat mass and skeletal muscle mass. Paired t-tests were performed to determine the change in measurements. Results: At baseline, 7 of 10 patients were overweight or obese (body mass index [BMI] > 25 kg/m2), and none were underweight. Advanced muscle wasting (sarcopenia, previously defined as the ratio of skeletal muscle cross-sectional area at L3 level to height < 52.4 cm2/m2) was present at baseline and 6 months in 9 of 10 pts. Over 6 months of AA treatment, patients lost an average of 1.9 kg ± 3.6 kg (p = 0.13). Mean changes (kg) (±standard deviation) in total skeletal muscle mass (-0.80 ± 1.71, p = 0.18) and total non-adipose mass (-1.44 ± 3.09, p = 0.17) were not significant. A significant decrease in total adipose mass (-0.61 ± 0.84, p = 0.048) was observed. Conclusions: Sarcopenia is prevalent in patients with mCRPC. AA was not related to significantly worsening sarcopenia or overall weight loss during the first 6 months of treatment; however, this may reflect a relatively short duration of therapy and/or small sample size. A significant loss of adipose tissue was observed, which is unexpected given the known effects of ADT, which increases adipose mass. Evaluation of additional AA treated patients is ongoing.


2018 ◽  
Vol 37 ◽  
pp. S37
Author(s):  
B.T. Muresan ◽  
C. Sánchez Juan ◽  
A. Artero ◽  
A. Montoro ◽  
G. Sanchz Jordá ◽  
...  

2021 ◽  
pp. 1-49
Author(s):  
Belinda Vangelov ◽  
Judy Bauer ◽  
Damian Kotevski ◽  
Robert I. Smee

ABSTRACT Body composition measurement using diagnostic computed tomography (CT) scans has emerged as a method to assess sarcopenia (low muscle mass) in oncology patients. Assessment of skeletal muscle mass (SMM) using the cross-sectional area (CSA) of a single vertebral slice (at lumbar L3) in a CT scan is correlated to whole body skeletal muscle volume. This method is used to assess CT-defined sarcopenia in patients with cancer, with low SMM effecting outcomes. However, as diagnostic scans are based on tumour location, not all include L3. We evaluated the evidence for the use of alternate vertebral CT slices for SMM evaluation when L3 is not available. Five electronic databases were searched from Jan 1996-April 2020 for studies using CT scan vertebral slices above L3 for SM measurement in adults with cancer (solid tumours). Validation with whole body SMM, rationale for the chosen slice, and sarcopenia cut-off values were investigated. Thirty-two studies were included, all retrospective and cross-sectional in design. Cervical, thoracic, and lumbar slices were used (from C3-L1), with no validation of whole body SMM using CT scans. Alternate slices were used in lung, and head and neck cancer patients. Sarcopenia cut-off values were reported in 75% of studies, with differing methods, with or without sex-specific values, and a lack of consensus. Current evidence is inadequate to provide definitive recommendations for alternate vertebral slice use for SMM evaluation in cancer patients. Variation in sarcopenia cut-offs warrants more robust investigation, in order for risk stratification to be applied to all patients with cancer.


2020 ◽  
Author(s):  
Yun Im Lee ◽  
Ryoung-Eun Ko ◽  
Joonghyun Ahn ◽  
Keumhee Carriere ◽  
Jeong-Am Ryu

Abstract We investigated whether skeletal muscle mass estimated via brain computed tomography (CT) can be used to predict neurological outcomes in neurocritically ill patients. Adult patients who were admitted to the neurosurgical intensive care unit (ICU) from January 2010 to September 2019 were eligible. We included patients who were hospitalized in the neurosurgical ICU for more than 7 days. Cross-sectional areas of paravertebral muscle at the first cervical vertebra level (C1-CSA) and temporalis muscle thickness (TMT) on brain CT were measured to evaluate skeletal muscle mass. Primary outcome was Glasgow Outcome Scale score at 3 months. Change of C1-CSA (adjusted odds ratio [OR]: 1.36, 95% confidence interval [CI]: 1.054–1.761) and change of TMT (adjusted OR: 1.27, 95% CI: 1.028–1.576) were significantly associated with poor neurological outcome (Hosmer–Lemeshow test, Chi-square = 11.4, df = 8, p = 0.178) with areas under the curve of 0.803 (95% CI 0.740–0.866) using 10-fold cross validation method. Especially, risk of poor neurologic outcome was proportional to changes of C1-CSA and TMT. In this study, the follow-up skeletal muscle mass at first week from ICU admission, based on changes in C1-CSA and TMT, was associated with neurological prognosis in neurocritically ill patients.


2020 ◽  
pp. 1-1
Author(s):  
Y. Matsui

Thank you for your letter (1) concerning our article entitled, «Association of muscle strength and gait speed with cross-sectional muscle area determined by mid-thigh computed tomography—a comparison with skeletal muscle mass measured by dual-energy X-ray absorptiometry» (2). We are pleased to know that you were interested in our work and have recognized the clinical relevance of measuring the quadriceps muscle mass for estimating the motor function.


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