There is evidence that patients with sarcopenia have poorer outcomes when diagnosed with upper GI cancer. We wish to assess this in our local cohort. Is there a clear description of how this may be assessed from cross-sectional images?
Well, if you have control groups to calculate T- and Z-scores you have a basis for comparison, or a control group for a simple comparison. Otherwise, I suggest running a whole body DXA and using appendicular lean mass (ALM) with a cut off of 5.5 and 7.23 for women and men respecively.
For our research and etc. I use Slice-o-matic to calculate muscle/bone/fat cross-section area and volume on CT and MRI images. I am happy to show you how it is done in this program.
I hope I understood and answered your question correctly.
Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age and Ageing. 2010;39(4):412-423. doi:10.1093/ageing/afq034.
Em nossa pesquisa calculamos a área no Osirix e no SliceOmatic.
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