Detection of early cartilage degeneration in the tibiotalar joint using 3 T gagCEST imaging: a feasibility study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-07-28

AUTHORS

Daniel B. Abrar, Christoph Schleich, Karl Ludger Radke, Miriam Frenken, Julia Stabinska, Alexandra Ljimani, Hans-Jörg Wittsack, Gerald Antoch, Bernd Bittersohl, Tobias Hesper, Sven Nebelung, Anja Müller-Lutz

ABSTRACT

ObjectiveTo establish and optimize a stable 3 Tesla (T) glycosaminoglycan chemical exchange saturation transfer (gagCEST) imaging protocol for assessing the articular cartilage of the tibiotalar joint in healthy volunteers and patients after a sustained injury to the ankle.MethodsUsing Bloch–McConnell simulations, we optimized the sequence protocol for a 3 T MRI scanner for maximum gagCEST effect size within a clinically feasible time frame of less than 07:30 min. This protocol was then used to analyze the gagCEST effect of the articular cartilage of the tibiotalar joint of 17 healthy volunteers and five patients with osteochondral lesions of the talus following ankle trauma. Reproducibility was tested with the intraclass correlation coefficient.ResultsThe mean magnetization transfer ratio asymmetry (MTRasym), i.e., the gagCEST effect size, was significantly lower in patients than in healthy volunteers (0.34 ± 1.9% vs. 1.49 ± 0.11%; p < 0.001 [linear mixed model]). Intra- and inter-rater reproducibility was excellent with an average measure intraclass correlation coefficient (ICC) of 0.97 and a single measure ICC of 0.91 (p < 0.01).DiscussionIn this feasibility study, pre-morphological tibiotalar joint cartilage damage was quantitatively assessable on the basis of the optimized 3 T gagCEST imaging protocol that allowed stable quantification gagCEST effect sizes across a wide range of health and disease in clinically feasible acquisition times. More... »

PAGES

249-260

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10334-020-00868-y

DOI

http://dx.doi.org/10.1007/s10334-020-00868-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1129713786

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32725359


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