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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

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

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, …

2024-10AlgemeenArtikel

Pre-Participation Screenings Frequently Miss Occult Cardiovascular Conditions in Apparently Healthy Male Middle-Aged First-Time Marathon Runners

Laily, Inarota; Wiggers, Tom G.H.; Van Steijn, Niels; Bijsterveld, Nick; Bakermans, Adrianus J.; Froeling, Martijn; Van Den Berg-Faay, Sandra; De Haan, Ferdinand H. (Urban Vitality); De Bruin-Bon, Rianne H.A.C.M.; Boekholdt, S. Matthijs; Planken, R. Nils; Verhagen, Evert; Jorstad, Harald T.

Introduction: The optimal pre-participation screening strategy to identify athletes at risk for exercise-induced cardiovascular events is unknown. We therefore aimed to compare the American College of Sports Medicine (ACSM) and European Society of Cardiology (ESC) pre-participation screening strategies …

2024-06AlgemeenArtikel

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

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

Background: Manual 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 fully automated method is needed. In this study, we evaluate …

2022-05AlgemeenArtikel

CT determined psoas muscle area predicts mortality in women undergoing transcatheter aortic valve implantation

van Mourik, Martijn S.; Janmaat, Yvonne C.; van Kesteren, Floortje; Vendrik, Jeroen; Planken, R. Nils; Henstra, Marieke J.; Velu, Juliëtte F.; Vlastra, Wieneke; Zwinderman, Aeilko H.; Koch, Karel T.; de Winter, Robbert J.; Wykrzykowska, Joanna J.; Piek, Jan J.; Henriques, José P.S.; Lanting, Vincent R.; Baan, Jan; Latour, Corine (Urban Vitality); Lindeboom, Robert; Vis, M. Marije

Objectives: The aim of this study was to assess the predictive value of PMA measurement for mortality. Background: Current surgical risk stratification have limited predictive value in the transcatheter aortic valve implantation (TAVI) population. In TAVI workup, a CT scan is routinely performed but …

2019-03-01AlgemeenAndersoortig materiaal

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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

Pre-Participation Screenings Frequently Miss Occult Cardiovascular Conditions in Apparently Healthy Male Middle-Aged First-Time Marathon Runners

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

CT determined psoas muscle area predicts mortality in women undergoing transcatheter aortic valve implantation

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