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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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

Fabian Preisner¹, Rouven Behnisch², Véronique Schwehr¹

¹Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

Frontiers in Neuroscience

|March 7, 2022

Summary

Different 3.0T MRI scanners show varying reproducibility for sciatic nerve quantitative MR neurography parameters. T2 and diffusion tensor imaging (DTI) parameters demonstrated good to excellent agreement, while proton spin density (PD) showed moderate agreement.

Keywords:

biomarkers magnetic resonance imaging magnetic resonance neurography peripheral nervous system reproducibility of results

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Area of Science:

Radiology
Neuroimaging
Biomarkers

Background:

Quantitative MR neurography (MRN) is increasingly used for peripheral nerve assessment.
The impact of different MRI scanner hardware on MRN parameters remains largely uncharacterized.

Purpose of the Study:

To evaluate the inter-scanner reproducibility of quantitative MR neurography parameters for the sciatic nerve.
To assess the influence of different 3.0T MRI scanners on derived imaging biomarkers.

Main Methods:

Ten healthy volunteers underwent MR neurography of the sciatic nerve on three different 3.0T MRI scanners.
Comparable imaging protocols, including diffusion tensor imaging (DTI) and T2 relaxometry, were used.
Inter-scanner agreement was quantified using intraclass correlation coefficients (ICCs) and standard error of measurement (SEM).

Main Results:

Good to excellent inter-scanner agreement was found for T2 relaxometry (ICC: 0.846) and quantitative DTI parameters like fractional anisotropy (FA) (ICC: 0.876).
Moderate agreement was observed for proton spin density (PD) (ICC: 0.51).
Significant inter-scanner differences were identified for FA, T2, and PD (p < 0.001 to 0.02).

Conclusions:

Measurement imprecision in peripheral nerve DTI and T2 relaxometry is associated with the use of different MRI scanners.
The study provides orientation values for scanner-associated fluctuations in MRN biomarkers under similar imaging conditions.