ArticleMicromachines2020
3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study.
Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 41 citations in OpenAlex.
- A single-particle mechanofluorescent sensor.Nature communications · 2024Article
- Biomimicking Atherosclerotic Vessels: A Relevant and (Yet) Sub-Explored Topic.Biomimetics (Basel, Switzerland) · 2024Review
- Clinical situations for which 3D Printing is considered an appropriate representation or extension of data contained in a medical imaging examination: vascular conditions.3D printing in medicine · 2023Review
- Understanding Atherosclerosis Pathophysiology: Can Additive Manufacturing Be Helpful?Polymers · 2023Review
- A review on non-Newtonian fluid models for multi-layered blood rheology in constricted arteries.Archive of applied mechanics = Ingenieur-Archiv · 2023Review
- Curvature-induced defects on carbon-infiltrated carbon nanotube forests.RSC advances · 2022Article
- Computational Simulations in Advanced Microfluidic Devices: A Review.Micromachines · 2021Review
- Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease.Biomolecules · 2021Article
- Visualization and Measurements of Blood Cells Flowing in Microfluidic Systems and Blood Rheology: A Personalized Medicine Perspective.Journal of personalized medicine · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Atherosclerosis is one of the most serious and common forms of cardiovascular disease and a major cause of death and disability worldwide. It is a multifactorial and complex disease that promoted several hemodynamic studies. Although in vivo studies more accurately represent the physiological conditions, in vitro experiments more reliably control several physiological variables and most adequately validate numerical flow studies. Here, a hemodynamic study in idealized stenotic and healthy coronary arteries is presented by applying both numerical and in vitro approaches through computational fluid dynamics simulations and a high-speed video microscopy technique, respectively. By means of stereolithography 3D printing technology, biomodels with three different resolutions were used to perform experimental flow studies. The results showed that the biomodel printed with a resolution of 50 μm was able to most accurately visualize flow due to its lowest roughness values (Ra = 1.8 μm). The flow experimental results showed a qualitatively good agreement with the blood flow numerical data, providing a clear observation of recirculation regions when the diameter reduction reached 60%.
Indexed as
Identifiers
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.