SUN-P013: Assessment of Skeletal Muscle Mass in Critically Ill Cancer Patients by Computed Tomography

2017 ◽  
Vol 36 ◽  
pp. S57
Author(s):  
D.O. Toledo ◽  
A.M. Carvalho ◽  
J. Toloi ◽  
A.R. Oliveira
Nutrition ◽  
2021 ◽  
pp. 111238
Author(s):  
Michelle R. Baggerman ◽  
David P.J. van Dijk ◽  
Bjorn Winkens ◽  
Ronny M. Schnabel ◽  
Rob J.J. van Gassel ◽  
...  

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.


2019 ◽  
Vol 10 (4) ◽  
pp. 782-793 ◽  
Author(s):  
Sami Antoun ◽  
Hugues Morel ◽  
Pierre‐Jean Souquet ◽  
Veerle Surmont ◽  
David Planchard ◽  
...  

Author(s):  
Tomoaki Takata ◽  
Aki Motoe ◽  
Katsumi Tanida ◽  
Sosuke Taniguchi ◽  
Ayami Ida ◽  
...  

2018 ◽  
Vol 9 (5) ◽  
pp. 909-919 ◽  
Author(s):  
Sophie A. Kurk ◽  
Petra H.M. Peeters ◽  
Bram Dorresteijn ◽  
Pim A. de Jong ◽  
Marion Jourdan ◽  
...  

2019 ◽  
Vol 11 (12) ◽  
pp. 5643-5645
Author(s):  
Yusuke Takahashi ◽  
Takeo Nakada ◽  
Noriaki Sakakura ◽  
Hiroaki Kuroda

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