Evidence map›Paper›PMID 25278053›Full record

ArticleOsteoarthritis and cartilage2014

Rapid, automated imaging of mouse articular cartilage by microCT for early detection of osteoarthritis and finite element modelling of joint mechanics.

P Das Neves Borges, A E Forte, T L Vincent, D Dini, M Marenzana

Open access · hybridAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

51 citing papers in PubMed, 104 citations in OpenAlex.

  1. Review
  2. Article
  3. Femur Shape Changes in Prg4-Deficient Mice: Morphological Insights Into Joint Well-Being.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  15. Development and experimental validation of a dynamic numerical model for human articular cartilage.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2023
    Article
  16. Evaluation of a lanthanide nanoparticle-based contrast agent for microcomputed tomography of porous channels in subchondral bone.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
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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

5 authors at 2 institutions in 1 country.

P Das Neves BorgesDepartment of Bioengineering, Imperial College London, London SW7 2AZ, UK.
A E ForteDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK.
T L VincentKennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7HE, UK.
D DiniDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK.
M MarenzanaDepartment of Bioengineering, Imperial College London, London SW7 2AZ, UK; Kennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7HE, UK. Electronic address: m.marenzana@imperial.ac.uk.
Imperial College London · GBUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 088844/Z/09/Z
6 · The paper itself

Abstract

objectiveMouse articular cartilage (AC) is mostly assessed by histopathology and its mechanics is poorly characterised. In this study: (1) we developed non-destructive imaging for quantitative assessment of AC morphology and (2) evaluated the mechanical implications of AC structural changes.

methodsKnee joints obtained from naïve mice and from mice with osteoarthritis (OA) induced by destabilization of medial meniscus (DMM) for 4 and 12 weeks, were imaged by phosphotungstic acid (PTA) contrast enhanced micro-computed tomography (PTA-CT) and scored by conventional histopathology. Our software (Matlab) automatically segmented tibial AC, drew two regions centred on each tibial condyle and evaluated the volumes included. A finite element (FE) model of the whole mouse joint was implemented to evaluate AC mechanics.

resultsOur method achieved rapid, automated analysis of mouse AC (structural parameters in <10 h from knee dissection) and was able to localise AC loss in the central region of the medial tibial condyle. AC thickness decreased by 15% at 4 weeks and 25% at 12 weeks post DMM surgery, whereas histopathology scores were significantly increased only at 12 weeks. FE simulations estimated that AC thinning at early-stages in the DMM model (4 weeks) increases contact pressures (+39%) and Tresca stresses (+43%) in AC.

conclusionPTA-CT imaging is a fast and simple method to assess OA in murine models. Once applied more extensively to confirm its robustness, our approach will be useful for rapidly phenotyping genetically modified mice used for OA research and to improve the current understanding of mouse cartilage mechanics.

Indexed as

AnimalsBiomechanical PhenomenaCartilage, ArticularContrast MediaDisease Models, AnimalEarly DiagnosisImaging, Three-DimensionalKnee JointMenisci, TibialMiceOsteoarthritis, KneePhosphotungstic AcidTibiaX-Ray MicrotomographyContrast MediaPhosphotungstic Acid3-dimensional quantitative imagingDestabilisation of medial meniscus modelHigh-throughput automated image analysisMicro computed tomographyMouse articular cartilage

Identifiers

PMID25278053
PMCPMC4192140
OpenAlexW2018225094

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LicenceCC BY
Read underepoch 390

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.