Evidence map›Paper›PMID 39012563›Full record

ArticleAnnals of biomedical engineering2024

Revealing Detailed Cartilage Function Through Nanoparticle Diffusion Imaging: A Computed Tomography & Finite Element Study.

Juuso Tuppurainen, Petri Paakkari, Jiri Jäntti, Mikko T Nissinen, Maria C Fugazzola, René van Weeren, Sampo Ylisiurua, Miika T Nieminen, Heikki Kröger, Brian D Snyder and 5 more

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2024. 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. Article
  2. 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

15 authors.

Juuso TuppurainenDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland. juuso.tuppurainen@uef.fi.ORCID http://orcid.org/0000-0001-9724-3903
Petri PaakkariDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.
Jiri JänttiDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.
Mikko T NissinenDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.
Maria C FugazzolaDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
René van WeerenDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Sampo YlisiuruaResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
Miika T NieminenResearch Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
Heikki KrögerDepartment of Orthopaedics and Traumatology, Kuopio University Hospital, Kuopio, Finland.
Brian D SnyderDepartment of Orthopedic Surgery, Boston Children's Hospital, Boston, USA.
Anisha JoenathanDepartments of Biomedical Engineering and Chemistry, Boston University, Boston, USA.
Mark W GrinstaffDepartments of Biomedical Engineering and Chemistry, Boston University, Boston, USA.
Hanna MatikkaDiagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Rami K KorhonenDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.
Janne T A MäkeläDepartment of Technical Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.

Funding

Competitive State Research Funding of the Kuopio University Hospital Catchment Area 5041795Competitive State Research Funding of the Kuopio University Hospital Catchment Area 5063579Instrumentariumin Tiedesäätiö 190021Regional Council of Pohjois-Savo A74798Research Council of Finland 324529Research Council of Finland 348410Research Council of Finland 357787
6 · The paper itself

Abstract

The ability of articular cartilage to withstand significant mechanical stresses during activities, such as walking or running, relies on its distinctive structure. Integrating detailed tissue properties into subject-specific biomechanical models is challenging due to the complexity of analyzing these characteristics. This limitation compromises the accuracy of models in replicating cartilage function and impacts predictive capabilities. To address this, methods revealing cartilage function at the constituent-specific level are essential. In this study, we demonstrated that computational modeling derived individual constituent-specific biomechanical properties could be predicted by a novel nanoparticle contrast-enhanced computer tomography (CECT) method. We imaged articular cartilage samples collected from the equine stifle joint (n = 60) using contrast-enhanced micro-computed tomography (µCECT) to determine contrast agents' intake within the samples, and compared those to cartilage functional properties, derived from a fibril-reinforced poroelastic finite element model. Two distinct imaging techniques were investigated: conventional energy-integrating µCECT employing a cationic tantalum oxide nanoparticle (Ta

Indexed as

Cartilage, ArticularFinite Element AnalysisNanoparticlesAnimalsContrast MediaHorsesModels, BiologicalX-Ray MicrotomographyContrast MediaComputational modelingConstituent-specific behaviorContrast-enhanced computed tomographyDual-contrast agentOsteoarthritisPhoton-counting detector

Identifiers

PMID39012563
PMCPMC11329549

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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.