Evidence map›Paper›PMID 35802206›Full record

ArticleAnnals of biomedical engineering2022

Assessment of Ligament Viscoelastic Properties Using Raman Spectroscopy.

Andy Cui, Ervin Nippolainen, Rubina Shaikh, Jari Torniainen, Aapo Ristaniemi, Mikko Finnilä, Rami K Korhonen, Simo Saarakkala, Walter Herzog, Juha Töyräs and 1 more

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In one paragraph

Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

11 authors.

Andy CuiSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia. a.cui@uq.edu.au.ORCID http://orcid.org/0000-0002-0640-4597
Ervin NippolainenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Rubina ShaikhDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Jari TorniainenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Aapo RistaniemiDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Mikko FinniläResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Rami K KorhonenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Simo SaarakkalaResearch Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Walter HerzogHuman Performance Lab, Faculty of Kinesiology, University of Calgary, Calgary, Canada.
Juha TöyräsSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
Isaac O AfaraSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.

Funding

Academy of Finland 267551Academy of Finland 286526Academy of Finland 303786Academy of Finland 315820Academy of Finland 324529Kuopion Yliopistollinen Sairaala 5041744Kuopion Yliopistollinen Sairaala 5041750Suomen Kulttuurirahasto 00160079Suomen Kulttuurirahasto 00171194
6 · The paper itself

Abstract

Injuries to the ligaments of the knee commonly impact vulnerable and physically active individuals. These injuries can lead to the development of degenerative diseases such as post-traumatic osteoarthritis (PTOA). Non-invasive optical modalities, such as infrared and Raman spectroscopy, provide means for quantitative evaluation of knee joint tissues and have been proposed as potential quantitative diagnostic tools for arthroscopy. In this study, we evaluate Raman spectroscopy as a viable tool for estimating functional properties of collateral ligaments. Artificial trauma was induced by anterior cruciate ligament transection (ACLT) in the left or right knee joint of skeletally mature New Zealand rabbits. The corresponding contralateral (CL) samples were extracted from healthy unoperated joints along with a separate group of control (CNTRL) animals. The rabbits were sacrificed at 8 weeks after ACLT. The ligaments were then harvested and measured using Raman spectroscopy. A uniaxial tensile stress-relaxation testing protocol was adopted for determining several biomechanical properties of the samples. Partial least squares (PLS) regression models were then employed to correlate the spectral data with the biomechanical properties. Results show that the capacity of Raman spectroscopy for estimating the biomechanical properties of the ligament samples varies depending on the target property, with prediction error ranging from 15.78% for tissue cross-sectional area to 30.39% for stiffness. The hysteresis under cyclic loading at 2 Hz (RMSE = 6.22%, Normalized RMSE = 22.24%) can be accurately estimated from the Raman data which describes the viscous damping properties of the tissue. We conclude that Raman spectroscopy has the potential for non-destructively estimating ligament biomechanical properties in health and disease, thus enhancing the diagnostic value of optical arthroscopic evaluations of ligament integrity.

Indexed as

Anterior Cruciate Ligament InjuriesSpectrum Analysis, RamanAnimalsAnterior Cruciate LigamentBiomechanical PhenomenaKnee JointRabbitsLigamentMechanical propertiesRaman spectroscopyViscoelastic properties

Identifiers

PMID35802206
PMCPMC9363474

What Socratic holds

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LicenceCC BY
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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 Socratic graph.