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Quantitative MR-Neurography at 3.0T: Inter-Scanner Reproducibility

Fabian Preisner, Rouven Behnisch, Véronique Schwehr, Tim Godel, Dániel Schwarz, Olivia Foesleitner, Philipp Bäumer, Sabine Heiland, Martin Bendszus, Moritz Kronlage

2022Frontiers in Neuroscience10 citationsDOIOpen Access PDF

Abstract

Background Quantitative MR-neurography (MRN) is increasingly applied, however, the impact of the MR-scanner on the derived parameters is unknown. Here, we used different 3.0T MR scanners and applied comparable MR-sequences in order to quantify the inter-scanner reproducibility of various MRN parameters of the sciatic nerve. Methods Ten healthy volunteers were prospectively examined at three different 3.0T MR scanners and underwent MRN of their sciatic nerve using comparable imaging protocols including diffusion tensor imaging (DTI) and T2 relaxometry. Subsequently, inter-scanner agreement was assessed for seven different parameters by calculating the intraclass correlation coefficients (ICCs) and the standard error of measurement (SEM). Results Assessment of inter-scanner reliability revealed good to excellent agreement for T2 (ICC: 0.846) and the quantitative DTI parameters, such as fractional anisotropy (FA) (ICC: 0.876), whereas moderate agreement was observed for proton spin density (PD) (ICC: 0.51). Analysis of variance identified significant inter-scanner differences for several parameters, such as FA ( p < 0.001; p = 0.02), T2 ( p < 0.01) and PD ( p = 0.02; p < 0.01; p = 0.02). Calculated SEM values were mostly within the range of one standard deviation of the absolute mean values, for example 0.033 for FA, 4.12 ms for T2 and 27.8 for PD. Conclusion This study quantifies the measurement imprecision for peripheral nerve DTI and T2 relaxometry, which is associated with the use of different MR scanners. The here presented values may serve as an orientation of the possible scanner-associated fluctuations of MRN biomarkers, which can occur under similar conditions.

Topics & Concepts

ReproducibilityScannerMagnetic resonance neurographyRelaxometryIntraclass correlationDiffusion MRIFractional anisotropyNuclear medicineStandard deviationRepeatabilityBiomedical engineeringMedicineNuclear magnetic resonanceMagnetic resonance imagingRadiologyPhysicsMathematicsSpin echoComputer scienceArtificial intelligenceStatisticsPeripheral Nerve DisordersAdvanced Neuroimaging Techniques and ApplicationsPain Mechanisms and Treatments
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