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Myelin quantification with MRI: A systematic review of accuracy and reproducibility.
van der Weijden, Chris W J; García, David Vállez; Borra, Ronald J H; Thurner, Patrick; Meilof, Jan F; van Laar, Peter-Jan; Dierckx, Rudi A J O; Gutmann, Ingomar W; de Vries, Erik F J.
Affiliation
  • van der Weijden CWJ; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands. Electronic address: c.w.j.van.der.weijden@umcg.nl.
  • García DV; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherland
  • Borra RJH; Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands. Electronic address: r.j.h.borra@umcg.nl.
  • Thurner P; Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090 Wien, Austria. Electronic address: patrick.thurner@meduniwien.ac.at.
  • Meilof JF; Multiple Sclerosis Center Noord Nederland, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands. Electronic address: j.f.meilof@umcg.nl.
  • van Laar PJ; Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Zorggroep Twente, Zilvermeeuw 1, 7609 PP Almelo, the Netherlands. Electronic address: p.j.van.laar@umcg.nl.
  • Dierckx RAJO; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands. Electronic address: r.a.dierckx@umcg.nl.
  • Gutmann IW; Physics of Functional Material, Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria. Electronic address: ingomar.gutmann@univie.ac.at.
  • de Vries EFJ; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands. Electronic address: e.f.j.de.vries@umcg.nl.
Neuroimage ; 226: 117561, 2021 02 01.
Article in En | MEDLINE | ID: mdl-33189927
ABSTRACT

OBJECTIVES:

Currently, multiple sclerosis is treated with anti-inflammatory therapies, but these treatments lack efficacy in progressive disease. New treatment strategies aim to repair myelin damage and efficacy evaluation of such new therapies would benefit from validated myelin imaging techniques. Several MRI methods for quantification of myelin density are available now. This systematic review aims to analyse the performance of these MRI methods.

METHODS:

Studies comparing myelin quantification by MRI with histology, the current gold standard, or assessing reproducibility were retrieved from PubMed/MEDLINE and Embase (until December 2019). Included studies assessed both myelin histology and MRI quantitatively. Correlation or variance measurements were extracted from the studies. Non-parametric tests were used to analyse differences in study methodologies.

RESULTS:

The search yielded 1348 unique articles. Twenty-two animal studies and 13 human studies correlated myelin MRI with histology. Eighteen clinical studies analysed the reproducibility. Overall bias risk was low or unclear. All MRI methods performed comparably, with a mean correlation between MRI and histology of R2=0.54 (SD=0.30) for animal studies, and R2=0.54 (SD=0.18) for human studies. Reproducibility for the MRI methods was good (ICC=0.75-0.93, R2=0.90-0.98, COV=1.3-27%), except for MTR (ICC=0.05-0.51).

CONCLUSIONS:

Overall, MRI-based myelin imaging methods show a fairly good correlation with histology and a good reproducibility. However, the amount of validation data is too limited and the variability in performance between studies is too large to select the optimal MRI method for myelin quantification yet.
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Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Cord / Brain / Magnetic Resonance Imaging / Multiple Sclerosis / Myelin Sheath Type of study: Systematic_reviews Limits: Animals / Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Cord / Brain / Magnetic Resonance Imaging / Multiple Sclerosis / Myelin Sheath Type of study: Systematic_reviews Limits: Animals / Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article
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