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

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 hamperi...

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Autores principales: Honkanen, Miitu K. M., Saukko, Annina E. A., Turunen, Mikael J., Xu, Wujun, Lovric, Goran, Honkanen, Juuso T. J., Grinstaff, Mark W., Lehto, Vesa-Pekka, Töyräs, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949199/
https://www.ncbi.nlm.nih.gov/pubmed/31576504
http://dx.doi.org/10.1007/s10439-019-02362-6
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author Honkanen, Miitu K. M.
Saukko, Annina E. A.
Turunen, Mikael J.
Xu, Wujun
Lovric, Goran
Honkanen, Juuso T. J.
Grinstaff, Mark W.
Lehto, Vesa-Pekka
Töyräs, Juha
author_facet Honkanen, Miitu K. M.
Saukko, Annina E. A.
Turunen, Mikael J.
Xu, Wujun
Lovric, Goran
Honkanen, Juuso T. J.
Grinstaff, Mark W.
Lehto, Vesa-Pekka
Töyräs, Juha
author_sort Honkanen, Miitu K. M.
collection PubMed
description 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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spelling pubmed-69491992020-01-23 Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation Honkanen, Miitu K. M. Saukko, Annina E. A. Turunen, Mikael J. Xu, Wujun Lovric, Goran Honkanen, Juuso T. J. Grinstaff, Mark W. Lehto, Vesa-Pekka Töyräs, Juha Ann Biomed Eng Original Article 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. Springer US 2019-10-01 2020 /pmc/articles/PMC6949199/ /pubmed/31576504 http://dx.doi.org/10.1007/s10439-019-02362-6 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Honkanen, Miitu K. M.
Saukko, Annina E. A.
Turunen, Mikael J.
Xu, Wujun
Lovric, Goran
Honkanen, Juuso T. J.
Grinstaff, Mark W.
Lehto, Vesa-Pekka
Töyräs, Juha
Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title_full Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title_fullStr Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title_full_unstemmed Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title_short Triple Contrast CT Method Enables Simultaneous Evaluation of Articular Cartilage Composition and Segmentation
title_sort triple contrast ct method enables simultaneous evaluation of articular cartilage composition and segmentation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949199/
https://www.ncbi.nlm.nih.gov/pubmed/31576504
http://dx.doi.org/10.1007/s10439-019-02362-6
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