A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation




TekijätMiitu K. M. Honkanen, Annina E. A. Saukko, Mikael J. Turunen, Wujun Xu, Goran Lovric, Juuso T. J. Honkanen, Mark W. Grinstaff, Vesa-Pekka Lehto, Juha Töyräs

KustantajaSPRINGER

Julkaisuvuosi2020

Lehti: Annals of Biomedical Engineering

Tietokannassa oleva lehden nimiANNALS OF BIOMEDICAL ENGINEERING

Lehden akronyymiANN BIOMED ENG

Vuosikerta48

Numero2

Aloitussivu556

Lopetussivu567

Sivujen määrä12

ISSN0090-6964

eISSN1573-9686

DOIhttps://doi.org/10.1007/s10439-019-02362-6

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/42654360


Tiivistelmä
Early degenerative changes of articular cartilage are detected using contrast-enhanced computed tomography (CT) with a cationic contrast agent (CA). However, cationic CA diffusion into degenerated cartilage decreases with proteoglycan depletion and increases with elevated water content, thus hampering tissue evaluation at early diffusion time points. Furthermore, the contrast at synovial fluid-cartilage interface diminishes as a function of diffusion time hindering accurate cartilage segmentation. For the first time, we employ quantitative dual-energy CT (QDECT) imaging utilizing a mixture of three CAs (cationic CA4+ and non-ionic gadoteridol which are sensitive to proteoglycan and water contents, respectively, and bismuth nanoparticles which highlight the cartilage surface) to simultaneously segment the articulating surfaces and determine of the cartilage condition. Intact healthy, proteoglycan-depleted, and mechanically injured bovine cartilage samples (n = 27) were halved and imaged with synchrotron microCT 2-h post immersion in triple CA or in dual CA (CA4+ and gadoteridol). CA4+ and gadoteridol partitions were determined using QDECT, and pairwise evaluation of these partitions was conducted for samples immersed in dual and triple CAs. In conclusion, the triple CA method is sensitive to proteoglycan depletion while maintaining sufficient contrast at the articular surface to enable detection of cartilage lesions caused by mechanical impact.

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