Evidence map›Paper›PMID 29997520›Full record

ReviewFrontiers in physiology2018

Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.

Liang Zhong, Jun-Mei Zhang, Boyang Su, Ru San Tan, John C Allen, Ghassan S Kassab

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Angiography-Derived Physiology for Coronary Artery Disease Assessment: Expert Opinion From a SCAI Roundtable.Journal of the Society for Cardiovascular Angiography & Interventions · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Diffusion-Based 3D Bioprinting Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  15. Article
  16. Article
  17. Observational
  18. Review
  19. Article
  20. Article
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

6 authors.

Liang ZhongNational Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
Jun-Mei ZhangNational Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
Boyang SuNational Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
Ru San TanNational Heart Centre Singapore, National Heart Research Institute of Singapore, Singapore, Singapore.
John C AllenDuke-NUS Medical School, Singapore, Singapore.
Ghassan S KassabCalifornia Medical Innovations Institute, San Diego, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of new cardiac diagnostics and therapeutics of the heart has given rise to the challenging field of virtual design and testing of technologies in a patient-specific environment. Given the recent advances in medical imaging, computational power and mathematical algorithms, patient-specific cardiac models can be produced from cardiac images faster, and more efficiently than ever before. The emergence of patient-specific computational fluid dynamics (CFD) has paved the way for the new field of computer-aided diagnostics. This article provides a review of CFD methods, challenges and opportunities in coronary and intra-cardiac flow simulations. It includes a review of market products and clinical trials. Key components of patient-specific CFD are covered briefly which include image segmentation, geometry reconstruction, mesh generation, fluid-structure interaction, and solver techniques.

Indexed as

blood flowcardiovascularcomputational fluid dynamics (CFD)coronaryintra-cardiac flow simulationpatient-specific

Identifiers

PMID29997520
PMCPMC6028770

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.