Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Ylitalo, Tuomo
dc.contributor.author Finnilä, Mikko A.J.
dc.contributor.author Gahunia, Harpal K.
dc.contributor.author Karhula, Sakari S.
dc.contributor.author Suhonen, Heikki
dc.contributor.author Valkealahti, Maarit
dc.contributor.author Lehenkari, Petri
dc.contributor.author Hæggström, Edward
dc.contributor.author Pritzker, Kenneth P.H.
dc.contributor.author Saarakkala, Simo
dc.contributor.author Nieminen, Heikki J.
dc.date.accessioned 2019-04-02T06:58:08Z
dc.date.available 2019-04-02T06:58:08Z
dc.date.issued 2019-04-01
dc.identifier.citation Ylitalo , T , Finnilä , M A J , Gahunia , H K , Karhula , S S , Suhonen , H , Valkealahti , M , Lehenkari , P , Hæggström , E , Pritzker , K P H , Saarakkala , S & Nieminen , H J 2019 , ' Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses ' JOURNAL OF ORTHOPAEDIC RESEARCH , pp. 1-12 . https://doi.org/10.1002/jor.24245 en
dc.identifier.issn 0736-0266
dc.identifier.other PURE UUID: e1dcbea7-2287-45ef-9790-d8f14416dc70
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/quantifying-complex-microtopography-of-degenerated-articular-cartilage-surface-by-contrastenhanced-microcomputed-tomography-and-parametric-analyses(e1dcbea7-2287-45ef-9790-d8f14416dc70).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85062571677&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/32624546/Ylitalo_et_al_2019_Journal_of_Orthopaedic_Research_.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/37398
dc.description.abstract One of the earliest changes in osteoarthritis (OA) is a surface discontinuity of the articular cartilage (AC), and these surface changes become gradually more complex with OA progression. We recently developed a contrast enhanced micro-computed tomography (μCT) method for visualizing AC surface in detail. The present study aims to introduce a μCT analysis technique to parameterize these complex AC surface features and to demonstrate the feasibility of using these parameters to quantify degenerated AC surface. Osteochondral plugs (n = 35) extracted from 19 patients undergoing joint surgery were stained with phosphotungstic acid and imaged using μCT. The surface micro-topography of AC was analyzed with developed method. Standard root mean square roughness (R q ) was calculated as a reference, and the Area Under Curve (AUC) for receiver operating characteristic analysis was used to compare the acquiredquantitative parameters with semi-quantitative visual grading of μCT image stacks. The parameters quantifying the complex micro-topography of AC surface exhibited good sensitivity and specificity in identifying surface continuity (AUC: 0.93, [0.80 0.99]), fissures (AUC: 0.94, [0.83 0.99]) and fibrillation (AUC: 0.98, [0.88 1.0]). Standard R q was significantly smaller compared with the complex roughness (CR q ) already with mild surface changes with all surface reference parameters − continuity, fibrillation, and fissure sum. Furthermore, only CR q showed a significant difference when comparing the intact surface with lowest fissure sum score. These results indicate that the presented method for evaluating complex AC surfaces exhibit potential to identify early OA changes in superficial AC and is dynamic throughout OA progression. en
dc.format.extent 1-12
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher John Wiley and Sons Inc.
dc.relation.ispartofseries JOURNAL OF ORTHOPAEDIC RESEARCH en
dc.rights openAccess en
dc.subject.other Orthopedics and Sports Medicine en
dc.subject.other 217 Medical engineering en
dc.title Quantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analyses en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department University of Oulu
dc.contributor.department Orthopedic Science Consulting Services
dc.contributor.department University of Helsinki
dc.contributor.department University of Toronto
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.subject.keyword 3D imaging
dc.subject.keyword articular cartilage
dc.subject.keyword microcomputed X-ray tomography
dc.subject.keyword surface roughness
dc.subject.keyword topography
dc.subject.keyword Orthopedics and Sports Medicine
dc.subject.keyword 217 Medical engineering
dc.identifier.urn URN:NBN:fi:aalto-201904022529
dc.identifier.doi 10.1002/jor.24245
dc.type.version publishedVersion


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