PT07.3: A Critical Assessment of CT as a Valid Means of Skeletal Muscle Analysis and Muscular Body Composition Analysis in Cancer Cachexia

2019 ◽  
Vol 38 ◽  
pp. S47-S48
Author(s):  
M.I. Ramage ◽  
J. Miller ◽  
C.D.A. Deans ◽  
K.C.H. Fearon ◽  
S. Wigmore ◽  
...  
2020 ◽  
Vol 8 (2) ◽  
pp. e000821
Author(s):  
Arissa C Young ◽  
Henry T Quach ◽  
Haocan Song ◽  
Elizabeth J Davis ◽  
Javid J Moslehi ◽  
...  

BackgroundImmune checkpoint inhibitors (ICIs) have transformed treatment for melanoma, but identifying reliable biomarkers of response and effective modifiable lifestyle factors has been challenging. Obesity has been correlated with improved responses to ICI, although the association of body composition measures (muscle, fat, etc) with outcomes remains unknown.MethodsWe performed body composition analysis using Slice-o-matic software on pretreatment CT scans to quantify skeletal muscle index (SMI=skeletal muscle area/height2), skeletal muscle density (SMD), skeletal muscle gauge (SMG=SMI × SMD), and total adipose tissue index (TATI=subcutaneous adipose tissue area + visceral adipose tissue area/height2) of each patient at the third lumbar vertebrae. We then correlated these measures to response, progression-free survival (PFS), overall survival (OS), and toxicity.ResultsAmong 287 patients treated with ICI, body mass index was not associated with clinical benefit or toxicity. In univariable analyses, patients with sarcopenic obesity had inferior PFS (HR 1.4, p=0.04). On multivariable analyses, high TATI was associated with inferior PFS (HR 1.7, p=0.04), which was particularly strong in women (HR 2.1, p=0.03). Patients with intermediate TATI and high SMG had the best outcomes, whereas those with low SMG/high TATI had inferior PFS and OS (p=0.02 for both PFS and OS).ConclusionsBody composition analysis identified several features that correlated with improved clinical outcomes, although the associations were modest. As with other studies, we identified sex-specific associations that warrant further study.


2015 ◽  
Vol 358 (1-2) ◽  
pp. 335-338 ◽  
Author(s):  
Esther Cubo ◽  
Jessica Rivadeneyra ◽  
Cecilia Gil-Polo ◽  
Diana Armesto ◽  
Ana Mateos ◽  
...  

2015 ◽  
Vol 75 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Manfred J. Müller ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Corinna Geisler ◽  
Anja Bosy-Westphal

The aim of this review is to extend present concepts of body composition and to integrate it into physiology. In vivo body composition analysis (BCA) has a sound theoretical and methodological basis. Present methods used for BCA are reliable and valid. Individual data on body components, organs and tissues are included into different models, e.g. a 2-, 3-, 4- or multi-component model. Today the so-called 4-compartment model as well as whole body MRI (or computed tomography) scans are considered as gold standards of BCA. In practice the use of the appropriate method depends on the question of interest and the accuracy needed to address it. Body composition data are descriptive and used for normative analyses (e.g. generating normal values, centiles and cut offs). Advanced models of BCA go beyond description and normative approaches. The concept of functional body composition (FBC) takes into account the relationships between individual body components, organs and tissues and related metabolic and physical functions. FBC can be further extended to the model of healthy body composition (HBC) based on horizontal (i.e. structural) and vertical (e.g. metabolism and its neuroendocrine control) relationships between individual components as well as between component and body functions using mathematical modelling with a hierarchical multi-level multi-scale approach at the software level. HBC integrates into whole body systems of cardiovascular, respiratory, hepatic and renal functions. To conclude BCA is a prerequisite for detailed phenotyping of individuals providing a sound basis for in depth biomedical research and clinical decision making.


Alcohol ◽  
2000 ◽  
Vol 22 (3) ◽  
pp. 147-157 ◽  
Author(s):  
Francisco Santolaria ◽  
Emilio González-Reimers ◽  
José Luis Pérez-Manzano ◽  
Antonio Milena ◽  
Marı́a Angeles Gómez-Rodrı́guez ◽  
...  

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