Evidence map›Paper›PMID 40751454›Full record

ArticleAdvanced healthcare materials2026

A Patient-Specific 3D Printed Carotid Artery Model Integrating Vascular Structure, Flow, and Endothelium Responses.

Jorge A Catano, Louis Jun Ye Ong, Mingyang Yuan, Yunkun Qu, Jessica Benitez, Prasad Kdv Yarlagadda, Yi-Chin Toh, Zhiyong Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jorge A CatanoSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.ORCID 0000-0001-8304-0582
Louis Jun Ye OngSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.
Mingyang YuanSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.
Yunkun QuSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.
Jessica BenitezSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.
Prasad Kdv YarlagaddaSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.
Yi-Chin TohSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.ORCID 0000-0002-4105-4852
Zhiyong LiSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Brisbane, CBD, Queensland, 4000, Australia.

Funding

Australian Research Council DP200101658Australian Research Council DP230100721Australian Research Council FT180100157Australian Research Council IC190100026Medical Research Future Fund 2023977Medical Research Future Fund MRFF 2016165QUT Centre for Biomedical Technologies Scholarship ARC DP200103942
6 · The paper itself

Abstract

The progression of atherosclerosis is driven by the interplay between vascular anatomy, hemodynamic forces, and endothelial responses. However, existing in vitro vascular models have yet to integrate all these elements into a cohesive, patient-specific system. Here, This study presents the first instance of direct 3D printing of a miniaturized, patient-specific carotid artery model that recapitulates anatomical-dependent hemodynamic changes and vascular cell remodeling. Phase-contrast magnetic resonance imaging (MRI) scans from a healthy donor are used to generate miniaturized 3D carotid artery models, which are analyzed via computational fluid dynamics (CFD) and particle imaging velocimetry (PIV) to validate the preservation of physiological hemodynamic properties. Using digital light processing (DLP) 3D printing, the miniaturized carotid artery vessel is fabricated using gelatine methacrylate (GelMA) containing embedded human aortic smooth muscle cells (hASMCs) and an endothelialized lumen with human aortic endothelial cells (hAECs). Perfusion culture replicated physiological arterial shear stress of up to 10 dynes cm

Indexed as

Carotid ArteriesEndothelium, VascularModels, CardiovascularPrinting, Three-DimensionalEndothelial CellsHemodynamicsHumansMyocytes, Smooth Muscle3D‐printingatherosclerosiscarotid arterymicrofluidic vascular modelspatient‐specific

Identifiers

PMID40751454
PMCPMC12836465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.