ArticleJournal of the Royal Society, Interface2015
Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 35 citations in OpenAlex.
- Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.Cardiovascular engineering and technology · 2026Article
- Image-guided subject-specific modeling of glymphatic transport and amyloid deposition.Computer methods in applied mechanics and engineering · 2023Article
- Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling to Assess Peripheral Artery Disease.Journal of the American Heart Association · 2023Article
- Characteristics and evaluation of atherosclerotic plaques: an overview of state-of-the-art techniques.Frontiers in neurology · 2023Review
- A Novel Method for Improving the Accuracy of MR-derived Patient-specific Vascular Models using X-ray Angiography.Engineering with computers · 2022Article
- LIFU-responsive nanomedicine enables acoustic droplet vaporization-induced apoptosis of macrophages for stabilizing vulnerable atherosclerotic plaques.Bioactive materials · 2022Article
- Image-based patient-specific flow simulations are consistent with stroke in pediatric cerebrovascular disease.Biomechanics and modeling in mechanobiology · 2021Article
- Parameterization, geometric modeling, and isogeometric analysis of tricuspid valves.Computer methods in applied mechanics and engineering · 2021Article
- Magnetic resonance imaging based modeling of microvascular perfusion in patients with peripheral artery disease.Journal of biomechanics · 2019Article
- The Therapeutic Potential of Nanoparticles to Reduce Inflammation in Atherosclerosis.Biomolecules · 2019Review
- The Multifaceted Uses and Therapeutic Advantages of Nanoparticles for Atherosclerosis Research.Materials (Basel, Switzerland) · 2018Review
- Manipulating nanoparticle transport within blood flow through external forces: an exemplar of mechanics in nanomedicine.Proceedings. Mathematical, physical, and engineering sciences · 2018Review
- Targeting Inflammation With Nanosized Drug Delivery Platforms in Cardiovascular Diseases: Immune Cell Modulation in Atherosclerosis.Frontiers in bioengineering and biotechnology · 2018Review
- Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2018Article
- Computational modeling and engineering in pediatric and congenital heart disease.Current opinion in pediatrics · 2015Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Peripheral arterial disease (PAD) is generally attributed to the progressive vascular accumulation of lipoproteins and circulating monocytes in the vessel walls leading to the formation of atherosclerotic plaques. This is known to be regulated by the local vascular geometry, haemodynamics and biophysical conditions. Here, an isogeometric analysis framework is proposed to analyse the blood flow and vascular deposition of circulating nanoparticles (NPs) into the superficial femoral artery (SFA) of a PAD patient. The local geometry of the blood vessel and the haemodynamic conditions are derived from magnetic resonance imaging (MRI), performed at baseline and at 24 months post intervention. A dramatic improvement in blood flow dynamics is observed post intervention. A 500% increase in peak flow rate is measured in vivo as a consequence of luminal enlargement. Furthermore, blood flow simulations reveal a 32% drop in the mean oscillatory shear index, indicating reduced disturbed flow post intervention. The same patient information (vascular geometry and blood flow) is used to predict in silico in a simulation of the vascular deposition of systemically injected nanomedicines. NPs, targeted to inflammatory vascular molecules including VCAM-1, E-selectin and ICAM-1, are predicted to preferentially accumulate near the stenosis in the baseline configuration, with VCAM-1 providing the highest accumulation (approx. 1.33 and 1.50 times higher concentration than that of ICAM-1 and E-selectin, respectively). Such selective deposition of NPs within the stenosis could be effectively used for the detection and treatment of plaques forming in the SFA. The presented MRI-based computational protocol can be used to analyse data from clinical trials to explore possible correlations between haemodynamics and disease progression in PAD patients, and potentially predict disease occurrence as well as the outcome of an intervention.
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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 Socratic graph.