Evidence map›Paper›PMID 40078144›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2025

Structure-property relationships in fibrous meniscal tissue through image-based augmentation.

Arash Rabbani, Ali Sadeghkhani, Andrew Holland, Mohsen Besharat, Han Fang, Masoud Babaei, Olga Barrera

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Structure-property relationships in fibrous meniscal tissue through image-based augmentation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  2. Challenges and opportunities in uncertainty quantification for healthcare and biological systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    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

7 authors.

Arash RabbaniSchool of Computer Science, University of Leeds, Leeds, UK.ORCID 0000-0001-5181-7318
Ali SadeghkhaniSchool of Computer Science, University of Leeds, Leeds, UK.ORCID 0009-0000-1286-666X
Andrew HollandSchool of Civil Engineering, University of Leeds, Leeds, UK.
Mohsen BesharatSchool of Civil Engineering, University of Leeds, Leeds, UK.
Han FangSchool of Civil Engineering, University of Leeds, Leeds, UK.
Masoud BabaeiDepartment of Chemical Engineering, University of Manchester, Manchester, UK.
Olga BarreraSchool of Engineering, Computing and Mathematics, Oxford Brooks University, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces an adaptive three-dimensional (3D) image synthesis technique for creating variational realizations of fibrous meniscal tissue microstructures. The method allows controlled deviation from original geometries by modifying parameters such as porosity, pore size and specific surface area of image patches. The unbiased reconstructed samples matched the morphological and hydraulic properties of original tissues, with relative errors generally below 10%. Additional samples were generated with predefined deviations to increase dataset diversity. Analysis of 1500 synthesized geometries revealed relationships between microstructural features, hydraulic permeability and mechanical properties. Empirical correlations were derived to predict longitudinal and transverse hydraulic permeability as functions of porosity, with

Indexed as

Imaging, Three-DimensionalMeniscusComputer SimulationElastic ModulusFinite Element AnalysisHumansModels, BiologicalPorosityStress, Mechanicalbiomaterialimage generationmeniscus

Identifiers

PMID40078144
PMCPMC11904624

What OpenQuestion holds

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LicenceCC BY
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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.