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Clin Nutr ESPEN2024;63142-147.October 1, 2024Journal Article

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 Erck1, Pim Moeskops2, Josje D Schoufour3, Peter J M Weijs4, Wilma J M Scholte Op Reimer5, Martijn S van Mourik6, R Nils Planken7, Marije M Vis6, Jan Baan6, Ivana Išgum8, José P Henriques6, Bob D de Vos9, Ronak Delewi6
1Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. Electronic address: d.vanerck@amsterdamumc.nl.
2Quantib - AI Radiology Software, Westblaak 106, 3012 KM, Rotterdam, The Netherlands.
3Center of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Science, Tafelbergweg 51, 1105 BD, Amsterdam, The Netherlands; Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, Dokter Meurerlaan 8, 1067 SM, Amsterdam, The Netherlands.
4Center of Expertise Urban Vitality, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, Dokter Meurerlaan 8, 1067 SM, Amsterdam, The Netherlands.
5Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands; Research Group Chronic Diseases, HU University of Applied Sciences, Heidelberglaan 15, 3584 CS, Utrecht, The Netherlands.
6Department of Cardiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
7Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
8Quantib - AI Radiology Software, Westblaak 106, 3012 KM, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
9Quantib - AI Radiology Software, Westblaak 106, 3012 KM, Rotterdam, The Netherlands; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
PubMed DOI

Abstract

BACKGROUND & AIMS: Accurate diagnosis of sarcopenia requires evaluation of muscle quality, which refers to the amount of fat infiltration in muscle tissue. In this study, we aim to investigate whether we can independently predict mortality risk in transcatheter aortic valve implantation (TAVI) patients, using automatic deep learning algorithms to assess muscle quality on procedural computed tomogr…

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