ReviewBiomechanics and modeling in mechanobiology2018
Structural modelling of the cardiovascular system.
Review in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Applications of lump, breather, rogue, and various nonlinear waves in the modeling of blood vessels: analysis of the nonlinear Murray equation with heterogeneous wall properties.Cognitive neurodynamics · 2026Article
- Transformative biomechanics and mechanobiology breakthroughs shaping the future of health and medicine.Innovation (Cambridge (Mass.)) · 2026Review
- A simulation environment for robot-assisted endovascular interventions.International journal of computer assisted radiology and surgery · 2025Article
- Development of novel experimental setup for hands-on cardiovascular biophysics education.European biophysics journal : EBJ · 2025Article
- Homogenized multiscale modelling of an electrically active double poroelastic material representing the myocardium.Biomechanics and modeling in mechanobiology · 2025Article
- The Impact of Potent Addictive Substances on Angiogenic Behavior: A Comprehensive Review.Current neuropharmacology · 2025Review
- Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists.Cardiovascular engineering and technology · 2024Review
- Investigating the effects of microstructural changes induced by myocardial infarction on the elastic parameters of the heart.Biomechanics and modeling in mechanobiology · 2023Article
- A Novel Computational Biomechanics Framework to Model Vascular Mechanopropagation in Deep Bone Marrow.Advanced healthcare materials · 2023Article
- Heritability of haemodynamics in the ascending aorta.Scientific reports · 2020Article
- Biomechanical Restoration Potential of Pentagalloyl Glucose after Arterial Extracellular Matrix Degeneration.Bioengineering (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Computational modelling of the cardiovascular system offers much promise, but represents a truly interdisciplinary challenge, requiring knowledge of physiology, mechanics of materials, fluid dynamics and biochemistry. This paper aims to provide a summary of the recent advances in cardiovascular structural modelling, including the numerical methods, main constitutive models and modelling procedures developed to represent cardiovascular structures and pathologies across a broad range of length and timescales; serving as an accessible point of reference to newcomers to the field. The class of so-called hyperelastic materials provides the theoretical foundation for the modelling of how these materials deform under load, and so an overview of these models is provided; comparing classical to application-specific phenomenological models. The physiology is split into components and pathologies of the cardiovascular system and linked back to constitutive modelling developments, identifying current state of the art in modelling procedures from both clinical and engineering sources. Models which have originally been derived for one application and scale are shown to be used for an increasing range and for similar applications. The trend for such approaches is discussed in the context of increasing availability of high performance computing resources, where in some cases computer hardware can impact the choice of modelling approach used.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.