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dc.contributor.authorBaer, K.en
dc.contributor.authorKieser, S.en
dc.contributor.authorSchon, B.en
dc.contributor.authorRajendran, K.en
dc.contributor.authorten Harkel, T.en
dc.contributor.authorRamyar, M.en
dc.contributor.authorLöbker, C.en
dc.contributor.authorBateman, Christopheren
dc.contributor.authorButler, A.en
dc.contributor.authorRaja, A.en
dc.contributor.authorHooper, G.en
dc.contributor.authorAnderson, N.en
dc.contributor.authorWoodfield, T.en
dc.date.accessioned2021-11-18T20:52:29Z
dc.date.available2021-04-01en
dc.date.issued2021-06en
dc.date.submitted2021-02-22en
dc.identifier.issn2473-2877en
dc.identifier.urihttps://hdl.handle.net/10182/14416
dc.description.abstractDetection of early osteoarthritis to stabilize or reverse the damage to articular cartilage would improve patient function, reduce disability, and limit the need for joint replacement. In this study, we investigated nondestructive photon-processing spectral computed tomography (CT) for the quantitative measurement of the glycosaminoglycan (GAG) content compared to destructive histological and biochemical assay techniques in normal and osteoarthritic tissues. Cartilage-bone cores from healthy bovine stifles were incubated in 50% ioxaglate (Hexabrix®) or 100% gadobenate dimeglumine (MultiHance®). A photon-processing spectral CT (MARS) scanner with a CdTe-Medipix3RX detector imaged samples. Calibration phantoms of ioxaglate and gadobenate dimeglumine were used to determine iodine and gadolinium concentrations from photon-processing spectral CT images to correlate with the GAG content measured using a dimethylmethylene blue assay. The zonal distribution of GAG was compared between photon-processing spectral CT images and histological sections. Furthermore, discrimination and quantification of GAG in osteoarthritic human tibial plateau tissue using the same contrast agents were demonstrated. Contrast agent concentrations were inversely related to the GAG content. The GAG concentration increased from 25 μg/ml (85 mg/ml iodine or 43 mg/ml gadolinium) in the superficial layer to 75 μg/ml (65 mg/ml iodine or 37 mg/ml gadolinium) in the deep layer of healthy bovine cartilage. Deep zone articular cartilage could be distinguished from subchondral bone by utilizing the material decomposition technique. Photon-processing spectral CT images correlated with histological sections in healthy and osteoarthritic tissues. Post-imaging material decomposition was able to quantify the GAG content and distribution throughout healthy and osteoarthritic cartilage using Hexabrix® and MultiHance® while differentiating the underlying subchondral bone.en
dc.format.extent10en
dc.language.isoenen
dc.publisherAIP Publishingen
dc.relationThe original publication is available from - AIP Publishing - https://doi.org/10.1063/5.0035312en
dc.relation.urihttps://doi.org/10.1063/5.0035312en
dc.rights© 2021 Author(s).en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectosteoarthritisen
dc.subjectcomputed tomography (CT)en
dc.subjectcontrast agentsen
dc.subjectglycosaminoglycan (GAG)en
dc.titleSpectral CT imaging of human osteoarthritic cartilage via quantitative assessment of glycosaminoglycan content using multiple contrast agentsen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitLincoln Agritechen
dc.identifier.doi10.1063/5.0035312en
dc.relation.isPartOfAPL Bioengineeringen
pubs.issue2en
pubs.organisational-group/LU
pubs.organisational-group/LU/Lincoln Agritech
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublisheden
pubs.volume5en
dc.identifier.eissn2473-2877en
dc.rights.licenceAttributionen
dc.rights.licenceAttributionen
lu.identifier.orcid0000-0002-7512-5583
pubs.article-number026101en
dc.subject.anzsrc2020510502 Medical physicsen
dc.subject.anzsrc2020400308 Medical devicesen
dc.subject.anzsrc2020400304 Biomedical imagingen
dc.subject.anzsrc2020510203 Nonlinear optics and spectroscopyen
dc.subject.anzsrc20204203 Health services and systemsen


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