Evidence map›Paper›PMID 31628575›Full record

ArticleThe international journal of cardiovascular imaging2020

On-site evaluation of CT-based fractional flow reserve using simple boundary conditions for computational fluid dynamics.

Yusuke Yoshikawa, Masahiko Nakamoto, Masanori Nakamura, Takeharu Hoshi, Erika Yamamoto, Shunsuke Imai, Yoshiaki Kawase, Munenori Okubo, Hiroki Shiomi, Takeshi Kondo and 3 more

Abstract readValidation Study
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In one paragraph

Article in The international journal of cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Cardiovascular imaging 2019 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2020
    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

13 authors.

Yusuke YoshikawaDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Masahiko NakamotoEBM Corporation, Tokyo, Japan.
Masanori NakamuraBiomechanics Laboratory, Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan.
Takeharu HoshiEBM Corporation, Tokyo, Japan.
Erika YamamotoDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Shunsuke ImaiDepartment of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Yoshiaki KawaseDepartment of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Munenori OkuboDepartment of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Hiroki ShiomiDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Takeshi KondoDepartment of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Hitoshi MatsuoDepartment of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Takeshi KimuraDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Naritatsu SaitoDepartment of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan. naritatu@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-9219-5279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractional flow reserve (FFR) is an established method for diagnosing physiological coronary artery stenosis. A method for computing FFR using coronary computed tomography (CT) images was recently developed. However, its calculation requires off-site supercomputer analysis. Here, we report the preliminary result of a method using simple estimation of boundary conditions. The lumen boundaries of the coronary arteries were semi-automatically delineated using full width at half maximum of CT number profiles. The computational fluid dynamics (CFD) of the blood flow was performed using the boundary conditions of a fixed pressure at the coronary ostium and flow rates at each outlet. The total inflow at the coronary ostium was estimated based on the uniform wall shear stress hypothesis and corrected using a hyperemic multiplier to gain a hyperemic flow rate. The flow distribution from a parent vessel to the downstream daughter vessels was determined according to Murray's law. FFR estimated by CFD was calculated as FFR

Indexed as

Computed Tomography AngiographyFractional Flow Reserve, MyocardialModels, CardiovascularPatient-Specific ModelingAgedCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansHydrodynamicsMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesComputational fluid dynamicsComputed tomographyCoronary physiologyFractional flow reserve

Identifiers

What OpenQuestion holds

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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.