Quantitative imaging of excised osteoarthritic cartilage using spectral CT

dc.contributor.authorRajendran, K
dc.contributor.authorLöbker, C
dc.contributor.authorSchon, BS
dc.contributor.authorBateman, CJ
dc.contributor.authorYounis, RA
dc.contributor.authorde Ruiter, NJA
dc.contributor.authorChernoglazov, AI
dc.contributor.authorRamyar, M
dc.contributor.authorHooper, GJ
dc.contributor.authorButler, APH
dc.contributor.authorWoodfield, TBF
dc.contributor.authorAnderson, NG
dc.coverage.spatialGermany
dc.date.accessioned2017-07-30T23:55:21Z
dc.date.available2016-05-10
dc.date.issued2017-01
dc.date.submitted2016-04-18
dc.description.abstractObjectives To quantify iodine uptake in articular cartilage as a marker of glycosaminoglycan (GAG) content using multi-energy spectral CT. Methods We incubated a 25-mm strip of excised osteoarthritic human tibial plateau in 50 % ionic iodine contrast and imaged it using a small-animal spectral scanner with a cadmium telluride photon-processing detector to quantify the iodine through the thickness of the articular cartilage. We imaged both spectroscopic phantoms and osteoarthritic tibial plateau samples. The iodine distribution as an inverse marker of GAG content was presented in the form of 2D and 3D images after applying a basis material decomposition technique to separate iodine in cartilage from bone. We compared this result with a histological section stained for GAG. Results The iodine in cartilage could be distinguished from subchondral bone and quantified using multi-energy CT. The articular cartilage showed variation in iodine concentration throughout its thickness which appeared to be inversely related to GAG distribution observed in histological sections. Conclusions Multi-energy CT can quantify ionic iodine contrast (as a marker of GAG content) within articular cartilage and distinguish it from bone by exploiting the energy-specific attenuation profiles of the associated materials. Key points • Contrast-enhanced articular cartilage and subchondral bone can be distinguished using multi-energy CT. • Iodine as a marker of glycosaminoglycan content is quantifiable with multi-energy CT. • Multi-energy CT could track alterations in GAG content occurring in osteoarthritis.
dc.format.extentpp.384-392
dc.format.mediumPrint-Electronic
dc.identifier10.1007/s00330-016-4374-7
dc.identifierhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000389350100043&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.citationRajendran et al. (2017). Quantitative imaging of excised osteoarthritic cartilage using spectral CT. European Radiology, 27, 384-392. doi:10.1007/s00330-016-4374-7
dc.identifier.doi10.1007/s00330-016-4374-7
dc.identifier.eissn1432-1084
dc.identifier.issn0938-7994
dc.identifier.other27165137 (pubmed)
dc.identifier.urihttps://hdl.handle.net/10182/8374
dc.languageen
dc.language.isoen
dc.publisherSpringer Verlag on behalf of European Society of Radiology (ESR)
dc.relationThe original publication is available from Springer Verlag on behalf of European Society of Radiology (ESR) - https://doi.org/10.1007/s00330-016-4374-7 - http://dx.doi.org/10.1007/s00330-016-4374-7
dc.relation.isPartOfEuropean Radiology
dc.relation.urihttps://doi.org/10.1007/s00330-016-4374-7
dc.rights© European Society of Radiology
dc.subjectosteoarthritis
dc.subjectarticular cartilage
dc.subjectspectral CT
dc.subjectglycosaminoglycan
dc.subjectionic contrast media
dc.subject.anzsrcANZSRC::110320 Radiology and Organ Imaging
dc.subject.anzsrc2020ANZSRC::3202 Clinical sciences
dc.subject.meshCartilage, Articular
dc.subject.meshTibia
dc.subject.meshHumans
dc.subject.meshOsteoarthritis
dc.subject.meshIodine
dc.subject.meshGlycosaminoglycans
dc.subject.meshContrast Media
dc.subject.meshTomography, X-Ray Computed
dc.subject.meshDissection
dc.subject.meshPhantoms, Imaging
dc.titleQuantitative imaging of excised osteoarthritic cartilage using spectral CT
dc.typeJournal Article
lu.contributor.unitLU
lu.contributor.unitLU|Lincoln Agritech
lu.contributor.unitLU|Research Management Office
lu.contributor.unitLU|Research Management Office|OLD QE18
lu.identifier.orcid0000-0002-7512-5583
pubs.issue1
pubs.publication-statusPublished
pubs.publisher-urlhttp://dx.doi.org/10.1007/s00330-016-4374-7
pubs.volume27
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