Evidence map›Paper›PMID 28462361›Full record

ArticleBone reports2017

Estimation of anisotropic permeability in trabecular bone based on microCT imaging and pore-scale fluid dynamics simulations.

C Daish, R Blanchard, K Gulati, D Losic, D Findlay, D J E Harvie, P Pivonka

Abstract read
In one paragraph

Article in Bone reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

7 authors.

C DaishDiscipline of Electrical and Biomedical Engineering, School of Engineering, RMIT University, VIC 3000, Australia.
R BlanchardSt Vincent's Department of Surgery, The University of Melbourne, VIC 3065, Australia.
K GulatiSchool of Chemical Engineering, University of Adelaide, SA 5005, Australia.
D LosicSchool of Chemical Engineering, University of Adelaide, SA 5005, Australia.
D FindlayDiscipline of Orthopaedics and Trauma, University of Adelaide, SA 5005, Australia.
D J E HarvieDepartment of Chemical and Biomolecular Engineering, University of Melbourne, VIC 3001, Australia.
P PivonkaSt Vincent's Department of Surgery, The University of Melbourne, VIC 3065, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a comprehensive framework is proposed to estimate the anisotropic permeability matrix in trabecular bone specimens based on micro-computed tomography (microCT) imaging combined with pore-scale fluid dynamics simulations. Two essential steps in the proposed methodology are the selection of (i) a representative volume element (RVE) for calculation of trabecular bone permeability and (ii) a converged mesh for accurate calculation of pore fluid flow properties. Accurate estimates of trabecular bone porosities are obtained using a microCT image resolution of approximately 10 μm. We show that a trabecular bone RVE in the order of 2 × 2 × 2 mm

Indexed as

Anisotropic permeabilityDarcy's lawFluid dynamicsMicroCTTrabecular bone

Identifiers

PMID28462361
PMCPMC5408131

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LicenceCC BY-NC-ND
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Registered trials

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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.