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

dc.contributorAalto Universityen
dc.contributor.authorYlitalo, Tuomoen_US
dc.contributor.authorFinnilä, Mikko A.J.en_US
dc.contributor.authorGahunia, Harpal K.en_US
dc.contributor.authorKarhula, Sakari S.en_US
dc.contributor.authorSuhonen, Heikkien_US
dc.contributor.authorValkealahti, Maariten_US
dc.contributor.authorLehenkari, Petrien_US
dc.contributor.authorHæggström, Edwarden_US
dc.contributor.authorPritzker, Kenneth P.H.en_US
dc.contributor.authorSaarakkala, Simoen_US
dc.contributor.authorNieminen, Heikki J.en_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.organizationUniversity of Ouluen_US
dc.contributor.organizationOrthopedic Science Consulting Servicesen_US
dc.contributor.organizationUniversity of Helsinkien_US
dc.contributor.organizationUniversity of Torontoen_US
dc.description.abstractOne 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 acquired quantitative 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.description.versionPeer revieweden
dc.identifier.citationYlitalo, 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, vol. 37, no. 4, pp. 855-866 . https://doi.org/10.1002/jor.24245en
dc.identifier.otherPURE UUID: e1dcbea7-2287-45ef-9790-d8f14416dc70en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/e1dcbea7-2287-45ef-9790-d8f14416dc70en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85062571677&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/32624546/Ylitalo_et_al_2019_Journal_of_Orthopaedic_Research_.pdfen_US
dc.publisherJohn Wiley and Sons Inc.
dc.relation.ispartofseriesJOURNAL OF ORTHOPAEDIC RESEARCHen
dc.subject.keyword3D imagingen_US
dc.subject.keywordarticular cartilageen_US
dc.subject.keywordmicrocomputed X-ray tomographyen_US
dc.subject.keywordsurface roughnessen_US
dc.titleQuantifying Complex Micro-Topography of Degenerated Articular Cartilage Surface by Contrast-Enhanced Micro-Computed Tomography and Parametric Analysesen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi