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Quantitative assessment of myelin density using [C-11]MeDAS PET in patients with multiple sclerosis

Authors :
Chris W. J. van der Weijden
Jan F. Meilof
Anouk van der Hoorn
Junqing Zhu
Chunying Wu
Yanming Wang
Antoon T. M. Willemsen
Rudi A. J. O. Dierckx
Adriaan A. Lammertsma
Erik F. J. de Vries
Damage and Repair in Cancer Development and Cancer Treatment (DARE)
​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
Molecular Neuroscience and Ageing Research (MOLAR)
Guided Treatment in Optimal Selected Cancer Patients (GUTS)
Radiology and nuclear medicine
AMS - Tissue Function & Regeneration
Amsterdam Neuroscience - Brain Imaging
Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
Source :
van der Weijden, C W J, Meilof, J F, van der Hoorn, A, Zhu, J, Wu, C, Wang, Y, Willemsen, A T M, Dierckx, R A J O, Lammertsma, A A & de Vries, E F J 2022, ' Quantitative assessment of myelin density using [11C]MeDAS PET in patients with multiple sclerosis : a first-in-human study ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 10, pp. 3492-3507 . https://doi.org/10.1007/s00259-022-05770-4, European Journal of Nuclear Medicine and Molecular Imaging, 49, 3492-3507. SPRINGER, European Journal of Nuclear Medicine and Molecular Imaging, 49(10), 3492-3507. Springer Verlag
Publication Year :
2022
Publisher :
SPRINGER, 2022.

Abstract

Purpose Multiple sclerosis (MS) is a disease characterized by inflammatory demyelinated lesions. New treatment strategies are being developed to stimulate myelin repair. Quantitative myelin imaging could facilitate these developments. This first-in-man study aimed to evaluate [11C]MeDAS as a PET tracer for myelin imaging in humans. Methods Six healthy controls and 11 MS patients underwent MRI and dynamic [11C]MeDAS PET scanning with arterial sampling. Lesion detection and classification were performed on MRI. [11C]MeDAS time-activity curves of brain regions and MS lesions were fitted with various compartment models for the identification of the best model to describe [11C]MeDAS kinetics. Several simplified methods were compared to the optimal compartment model. Results Visual analysis of the fits of [11C]MeDAS time-activity curves showed no preference for irreversible (2T3k) or reversible (2T4k) two-tissue compartment model. Both volume of distribution and binding potential estimates showed a high degree of variability. As this was not the case for 2T3k-derived net influx rate (Ki), the 2T3k model was selected as the model of choice. Simplified methods, such as SUV and MLAIR2 correlated well with 2T3k-derived Ki, but SUV showed subject-dependent bias when compared to 2T3k. Both the 2T3k model and the simplified methods were able to differentiate not only between gray and white matter, but also between lesions with different myelin densities. Conclusion [11C]MeDAS PET can be used for quantification of myelin density in MS patients and is able to distinguish differences in myelin density within MS lesions. The 2T3k model is the optimal compartment model and MLAIR2 is the best simplified method for quantification. Trial registration. NL7262. Registered 18 September 2018.

Details

Language :
English
ISSN :
16197089 and 16197070
Volume :
49
Database :
OpenAIRE
Journal :
European Journal of Nuclear Medicine and Molecular Imaging
Accession number :
edsair.doi.dedup.....542f77c94eba3f849eb908c94f305dcf