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Spatial lipidomics of coronary atherosclerotic plaque development in a familial hypercholesterolemia swine model

Slijkhuis, Nuria (author), Razzi, F. (author), Korteland, Suze Anne (author), Heijs, Bram (author), van Gaalen, Kim (author), Duncker, Dirk J. (author), van der Steen, A.F.W. (author), van Steijn, V. (author), van Beusekom, Heleen M.M. (author), van Soest, G. (author)

Coronary atherosclerosis is caused by plaque build-up, with lipids playing a pivotal role in its progression. However, lipid composition and distribution within coronary atherosclerosis remain unknown. This study aims to characterize lipids and investigate differences in lipid composition across disease stages to aid in the understanding of...

journal article 2024

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Trunk motion influences mechanical power estimates during wheelchair propulsion

van Dijk, M.P. (author), Hoozemans, Marco J.M. (author), Berger, M.A.M. (author), Veeger, H.E.J. (author)

In wheelchair sports, there is an increasing need to monitor mechanical power in the field. When rolling resistance is known, inertial measurement units (IMUs) can be used to determine mechanical power. However, upper body (i.e., trunk) motion affects the mass distribution between the small front and large rear wheels, thus affecting rolling...

journal article 2024

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Pre-transplant kidney quality evaluation using photoacoustic imaging during normothermic machine perfusion

Nikolaev, Anton V. (author), Fang, Yitian (author), Essers, Jeroen (author), Panth, Kranthi M. (author), Ambagtsheer, Gisela (author), Clahsen-van Groningen, Marian C. (author), Minnee, Robert C. (author), van Soest, G. (author), de Bruin, Ron W.F. (author)

Due to the shortage of kidneys donated for transplantation, surgeons are forced to use the organs with an elevated risk of poor function or even failure. Although the existing methods for pre-transplant quality evaluation have been validated over decades in population cohort studies across the world, new methods are needed as long as delayed...

journal article 2024

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The value of collision feedback in robotic surgical skills training

Postema, R.R. (author), Hardon, Hidde (author), Rahimi, A. Masie (author), Horeman, Roel (author), Nickel, Felix (author), Dankelman, J. (author), Bloemendaal, A.L.A. (author), van der Elst, M. (author), van der Peet, Donald L. (author), Daams, Freek (author), Hardon, S.F. (author), Horeman, T. (author)

Collision feedback about instrument and environment interaction is often lacking in robotic surgery training devices. The PoLaRS virtual reality simulator is a newly developed desk trainer that overcomes drawbacks of existing robot trainers for advanced laparoscopy. This study aimed to assess the effect of haptic and visual feedback during...

journal article 2024

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The Simultaneous Model-Based Estimation of Joint, Muscle, and Tendon Stiffness is Highly Sensitive to the Tendon Force-Strain Relationship

Cop, Christopher P. (author), Jakubowski, Kristen L. (author), Schouten, A.C. (author), Koopman, Bart (author), Perreault, Eric J. (author), Sartori, Massimo (author)

Objective: Accurate estimation of stiffness across anatomical levels (i.e., joint, muscle, and tendon) in vivo has long been a challenge in biomechanics. Recent advances in electromyography (EMG)-driven musculoskeletal modeling have allowed the non-invasive estimation of stiffness during dynamic joint rotations. Nevertheless, validation has...

journal article 2024

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Machine Learning Approach for Pitch Type Classification Based on Pelvis and Trunk Kinematics Captured with Wearable Sensors

Gomaz, L. (author), Bouwmeester, Celine (author), van der Graaff, Erik (author), van Trigt, B. (author), Veeger, H.E.J. (author)

The large stream of data from wearable devices integrated with sports routines has changed the traditional approach to athletes’ training and performance monitoring. However, one of the challenges of data-driven training is to provide actionable insights tailored to individual training optimization. In baseball, the pitching mechanics and pitch...

journal article 2023

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Age-related impairments and influence of visual feedback when learning to stand with unexpected sensorimotor delays

Rasman, Brandon G. (author), van der Zalm, P.C. (author), Forbes, P.A. (author)

Background: While standing upright, the brain must accurately accommodate for delays between sensory feedback and self-generated motor commands. Natural aging may limit adaptation to sensorimotor delays due to age-related decline in sensory acuity, neuromuscular capacity and cognitive function. This study examined balance learning in young and...

journal article 2023

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Real-Life Wheelchair Mobility Metrics from IMUs

de Vries, W.H.K. (author), van der Slikke, R.M.A. (author), van Dijk, M.P. (author), Arnet, Ursina (author)

Daily wheelchair ambulation is seen as a risk factor for shoulder problems, which are prevalent in manual wheelchair users. To examine the long-term effect of shoulder load from daily wheelchair ambulation on shoulder problems, quantification is required in real-life settings. In this study, we describe and validate a comprehensive and...

journal article 2023

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EASIER: A new model for online learning of minimally invasive surgery skills

Oropesa, Ignacio (author), Sánchez-Peralta, Luisa F. (author), Chmarra, M.K. (author), Berner-Juhos, Krisztina (author), Tiu, Calin (author), Mettouris, Christos (author), Blas Pagador, José (author), Post, Joeri (author), Dankelman, J. (author)

Introduction: Technology Enhanced Learning (TEL) can provide the tools to safely master minimally invasive surgery (MIS) skills in patient-free environments and receive immediate objective feedback without the constant presence of an instructor. However, TEL-based systems tend to work isolated from one another, focus on different skills, and...

journal article 2023

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Identifying lipid traces of atherogenic mechanisms in human carotid plaque

Slijkhuis, Nuria (author), Mirzaian, Mina (author), Korteland, Suze Anne (author), Heijs, Bram (author), van Gaalen, Kim (author), Nieuwenhuizen, Ingeborg (author), van der Heiden, Kim (author), Claude, Emmanuelle (author), van Soest, G. (author)

Background and aims: Lipids play an important role in atherosclerotic plaque development and are interesting candidate predictive biomarkers. However, the link between circulating lipids, accumulating lipids in the vessel wall, and plaque destabilization processes in humans remains largely unknown. This study aims to provide new insights into...

journal article 2023

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Characterization of unipolar electrogram morphology: A novel tool for quantifying conduction inhomogeneity

Ye, Ziliang (author), van Schie, M.S. (author), Pool, Lisa (author), Heida, Annejet (author), Knops, Paul (author), Taverne, Yannick J.H.J. (author), Brundel, Bianca J.J.M. (author), de Groot, N.M.S. (author)

Aims: Areas of conduction inhomogeneity (CI) during sinus rhythm may facilitate the initiation and perpetuation of atrial fibrillation (AF). Currently, no tool is available to quantify the severity of CI. Our aim is to develop and validate a novel tool using unipolar electrograms (EGMs) only to quantify the severity of CI in the atria....

journal article 2023

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Developing a Digital Medication Adherence Intervention for and With Patients With Asthma and Low Health Literacy: Protocol for a Participatory Design Approach

Faber, J.S. (author), Poot, Charlotte C. (author), Dekkers, Tessa (author), Romero Herrera, N.A. (author), Chavannes, N.H. (author), Meijer, Eline (author), Visch, V.T. (author)

Background: Current eHealth interventions are poorly adopted by people with low health literacy (LHL) as they often fail to meet their needs, skills, and preferences. A major reason for this poor adoption is the generic, one-size-fits-all approach taken by designers of these interventions, without addressing the needs, skills, and preferences...

journal article 2023

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Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images

Su, Jiahang (author), Li, Shuai (author), Wolff, Lennard (author), van Zwam, Wim (author), Niessen, W.J. (author), van der Lugt, Aad (author), van Walsum, T. (author)

Extracting the cerebral anterior vessel tree of patients with an intracranial large vessel occlusion (LVO) is relevant to investigate potential biomarkers that can contribute to treatment decision making. The purpose of our work is to develop a method that can achieve this from routinely acquired computed tomography angiography (CTA) and...

journal article 2023

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Examining the role of intrinsic and reflexive contributions to ankle joint hyper-resistance treated with botulinum toxin-A

van’t Veld, Ronald C. (author), Flux, Eline (author), van Oorschot, Wieneke (author), Schouten, A.C. (author), van der Krogt, Marjolein M. (author), van der Kooij, H. (author), Vos-van der Hulst, Marije (author), Keijsers, Noël L.W. (author), van Asseldonk, Edwin H.F. (author)

Background: Spasticity, i.e. stretch hyperreflexia, increases joint resistance similar to symptoms like hypertonia and contractures. Botulinum neurotoxin-A (BoNT-A) injections are a widely used intervention to reduce spasticity. BoNT-A effects on spasticity are poorly understood, because clinical measures, e.g. modified Ashworth scale (MAS),...

journal article 2023

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An organ-on-chip device with integrated charge sensors and recording microelectrodes

Aydogmus, H. (author), Hu, M. (author), Ivancevic, Lovro (author), Frimat, Jean Philippe (author), van den Maagdenberg, Arn M.J.M. (author), Sarro, Pasqualina M (author), Mastrangeli, Massimo (author)

Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for in vitro drug screening and disease modeling. Integrated sensing units are particularly convenient for microenvironmental monitoring. However, sensitive in vitro and real-time measurements are challenging due to the inherently...

journal article 2023

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Mechanical and shape memory properties of NiTi triply periodic minimal surface structures fabricated by laser powder bed fusion

Sun, Lingqi (author), Chen, K. (author), Geng, Peng (author), Zhou, Yan (author), Wen, Shifeng (author), Shi, Yusheng (author)

Porous NiTi lattice structures are widely used in the manufacture of crucial components owing to their excellent shape memory effect, superelasticity, and high damping capacities. However, the specific strength and lightweight characteristics of porous NiTi lattice structures fabricated by conventional technologies are limited by...

journal article 2023

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Pre-clinical evaluation of the new veress needle+ mechanism on thiel-embalmed bodies: a controlled crossover study - Experimental research

Postema, R.R. (author), Hardon, S.F. (author), Cefai, David (author), Dankelman, J. (author), Jansen, F.W. (author), Camenzuli, Christian (author), Calleja-Agius, Jean (author), Horeman, T. (author)

Background: <br/>Veress needles (VN) are commonly used in establishing pneumoperitoneum in laparoscopic surgery. Previously, a VN with a new safety mechanism ‘VeressPLUS’ needle (VN+) was developed to reduce the amount of overshoot.<br/><br/>Methods: <br/>Eighteen participants (novices, intermediates, and experts) performed in total of 248...

journal article 2023

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Sensory weighting of position and force feedback during pinching

Geelen, J.E. (author), van der Helm, F.C.T. (author), Schouten, A.C. (author), Mugge, W. (author)

Human hands are complex biomechanical systems that allow for dexterous tasks with many degrees of freedom. Coordination of the fingers is essential for many activities of daily living and involves integrating sensory signals. During this sensory integration, the central nervous system deals with the uncertainty of sensory signals. When...

journal article 2023

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The future of artificial intelligence in intensive care: moving from predictive to actionable AI

Smit, J.M. (author), Krijthe, J.H. (author), van Bommel, Jasper (author), van Genderen, M. E. (author), Labrecque, J. A. (author), Komorowski, M. (author), Gommers, D.A.M.P.J. (author), Reinders, M.J.T. (author)

Artificial intelligence (AI) research in the intensive care unit (ICU) mainly focuses on developing models (from linear regression to deep learning) to predict out-<br/>comes, such as mortality or sepsis [1, 2]. However, there is another important aspect of AI that is typically not framed as AI (although it may be more worthy of the name), which...

journal article 2023

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Sex differences in characteristics of atrial fibrillation recurrence post surgical pulmonary vein isolation

Veen, Danny (author), Verbeek, Eva C. (author), Kavousi, Maryam (author), Huigen, Jos (author), Mijnen-Schra, Annet (author), Cocchieri, Riccardo (author), Khan, Muchtiar (author), de Groot, N.M.S. (author)

Background: Prior studies demonstrated that female sex is associated with arrhythmia recurrence after endovascular pulmonary vein isolation (PVI). However, it is unknown if the sexes differ in outcome after video assisted thoracoscopic (VATS) PVI. The aim of this study was therefore to compare characteristics of recurrent AF episodes in a...

journal article 2023