Computed tomography measured epicardial adipose tissue and psoas muscle attenuation: new biomarkers to predict major adverse cardiac events and mortality in patients with heart disease and critically ill patients. Part II: Psoas muscle area and density

Autor: Jeroen Walpot, Paul Van Herck, Caroline M. Van de Heyning, Johan Bosmans, Samia Massalha, João R. Inácio, Hein Heidbuchel, Manu L. Malbrain

Publikováno v: Anaesthesiology Intensive Therapy, Vol 55, Iss 4, Pp 243-261 (2023)

Sarcopenia is a syndrome characterised by loss of skeletal muscle mass, loss of muscle quality, and reduced muscle strength, resulting in low performance. Sarcopenia has been associated with increased mortality and complications after medical interve

Externí odkaz: https://doaj.org/article/730e22c616144a9db206393776ab8145

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Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area

Autor: Dennis Van Erck, Pim Moeskops, Josje D. Schoufour, Peter J. M. Weijs, Wilma J. M. Scholte Op Reimer, Martijn S. Van Mourik, Yvonne C. Janmaat, R. Nils Planken, Marije Vis, Jan Baan, Robert Hemke, Ivana Išgum, José P. Henriques, Bob D. De Vos, Ronak Delewi

Publikováno v: Frontiers in Nutrition, 9:781860, 1-8. Frontiers Media S.A.
Frontiers in Nutrition, 9:781860. Frontiers Media S.A.
van Erck, D, Moeskops, P, Schoufour, J D, Weijs, P J M, Scholte op Reimer, W J M, van Mourik, M S, Janmaat, Y C, Planken, R N, Vis, M, Baan, J, Hemke, R, Išgum, I, Henriques, J P, de Vos, B D & Delewi, R 2022, ' Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area ', Frontiers in Nutrition, vol. 9, 781860 . https://doi.org/10.3389/fnut.2022.781860

BackgroundManual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate full

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856f3fa6f8a517f2df07a565086b2352
https://pubmed.ncbi.nlm.nih.gov/35634380

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