Daniel B Abrar1, Christoph Schleich2, Sven Nebelung2, Anja Müller-Lutz2, Karl Ludger Radke2, Miriam Frenken2, Julia Stabinska2, Alexandra Ljimani2, Hans-Jörg Wittsack2, Gerald Antoch2, Bernd Bittersohl3, Tobias Hesper3. 1. Department of Diagnostic and Interventional Radiology, Medical Faculty, University Hospital Düsseldorf, University Dusseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. DanielBenjamin.Abrar@med.uni-duesseldorf.de. 2. Department of Diagnostic and Interventional Radiology, Medical Faculty, University Hospital Düsseldorf, University Dusseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. 3. Department of Orthopedic and Trauma Surgery, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
Abstract
OBJECTIVE: To 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. METHODS: Using 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. RESULTS: The 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). DISCUSSION: In 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.
OBJECTIVE: To 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. METHODS: Using 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. RESULTS: The 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). DISCUSSION: In 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.
Entities:
Keywords:
Cartilage; Magnetic resonance imaging; Molecular imaging; Osteoarthritis; Proteoglycans
Authors: David C Williamson; Johanna Närväinen; Penny L Hubbard; Risto A Kauppinen; Gareth A Morris Journal: J Magn Reson Date: 2006-09-18 Impact factor: 2.229
Authors: Karl Ludger Radke; Daniel B Abrar; Miriam Frenken; Lena Marie Wilms; Benedikt Kamp; Matthias Boschheidgen; Patrick Liebig; Alexandra Ljimani; Timm Joachim Filler; Gerald Antoch; Sven Nebelung; Hans-Jörg Wittsack; Anja Müller-Lutz Journal: Tomography Date: 2022-05-07
Authors: Carly A Lockard; Ingrid K Stake; Alex W Brady; Madeleine G DeClercq; Kira K Tanghe; Brenton W Douglass; Erik Nott; Charles P Ho; Thomas O Clanton Journal: Cartilage Date: 2020-12-03 Impact factor: 3.117
Authors: Alecio F Lombardi; Yajun Ma; Hyungseok Jang; Saeed Jerban; Qingbo Tang; Adam C Searleman; Robert Scott Meyer; Jiang Du; Eric Y Chang Journal: Int J Mol Sci Date: 2022-04-18 Impact factor: 6.208
Authors: Karl Ludger Radke; Lena Marie Wilms; Miriam Frenken; Julia Stabinska; Marek Knet; Benedikt Kamp; Thomas Andreas Thiel; Timm Joachim Filler; Sven Nebelung; Gerald Antoch; Daniel Benjamin Abrar; Hans-Jörg Wittsack; Anja Müller-Lutz Journal: Int J Mol Sci Date: 2022-06-22 Impact factor: 6.208
Authors: Marc Sebastian Huppertz; Justus Schock; Karl Ludger Radke; Daniel Benjamin Abrar; Manuel Post; Christiane Kuhl; Daniel Truhn; Sven Nebelung Journal: Life (Basel) Date: 2021-03-05
Authors: Benedikt Kamp; Miriam Frenken; Jan M Henke; Daniel B Abrar; Armin M Nagel; Lena V Gast; Georg Oeltzschner; Lena M Wilms; Sven Nebelung; Gerald Antoch; Hans-Jörg Wittsack; Anja Müller-Lutz Journal: Diagnostics (Basel) Date: 2021-12-08
Authors: Gustav Müller-Franzes; Teresa Nolte; Malin Ciba; Justus Schock; Firas Khader; Andreas Prescher; Lena Marie Wilms; Christiane Kuhl; Sven Nebelung; Daniel Truhn Journal: Diagnostics (Basel) Date: 2022-03-11