Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

van Erck, Dennis; Moeskops, Pim; Schoufour, Josje D.; Weijs, Peter J.M.; Scholte op Reimer, Wilma J.M.; van Mourik, Martijn S.; Planken, R. Nils; Vis, Marije M.; Baan, Jan; Išgum, Ivana; Henriques, José P.; de Vos, Bob D.; Delewi, Ronak

doi:10.1016/j.clnesp.2024.06.013

Clinical Nutrition ESPEN

2024

DOI: 10.1016/j.clnesp.2024.06.013

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Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

Dennis van Erck,

Pim Moeskops,

Josje D. Schoufour

et al.

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Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

Cited by 1 publication

References 27 publications

Use of automated assessment for determining associations of low muscle mass and muscle loss with overall survival in patients with colorectal cancer – A validation study

Use of automated assessment for determining associations of low muscle mass and muscle loss with overall survival in patients with colorectal cancer – A validation study

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