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Reproducibility of quantitative structural and physiological MRI measurements
Stephen A McGuire1,2,3, S Andrea Wijtenburg4, Paul M Sherman1,3
1Aeromedical Research Department U.S. Air Force School of Aerospace Medicine Wright-Patterson AFB Dayton OH USA.
Brain and Behavior
|September 27, 2017
Summary
This study shows magnetic resonance imaging and spectroscopy (MRI/S) measurements are highly consistent in healthy individuals. Understanding this consistency is key for interpreting brain disorder progression and treatment effects.
Area of Science:
- Neuroimaging
- Quantitative MRI/S
Background:
- Longitudinal quantitative magnetic resonance imaging and spectroscopy (MRI/S) is crucial for assessing neurological disorders and treatment efficacy.
- Understanding the inherent technical and physiological consistency of MRI/S measurements is vital for accurate interpretation.
Purpose of the Study:
- To examine the variance and reproducibility of commonly used quantitative MRI/S measurements in healthy subjects.
- To control for physiological and technical parameters during longitudinal imaging.
- To establish a baseline for interpreting MRI/S data in clinical contexts.
Main Methods:
- Twenty-five healthy subjects underwent three imaging sessions over five days on a 3T Siemens Verio scanner.
- Structural (T1, T2-weighted, diffusion-weighted imaging) and physiological (arterial spin labeling, proton magnetic resonance spectroscopy) data were acquired.
- Reproducibility was assessed using mean relative difference, coefficient of variation, and intraclass correlation (ICC), alongside a "reproducibility rating".
Main Results:
- Most structural MRI/S measurements demonstrated excellent reproducibility (ICCs 0.872-0.998).
- Moderate-to-low reproducibility was noted for specific fractional anisotropy, gray matter thickness, and white matter lesion counts.
- Physiological measurements showed variable reproducibility, from excellent for spectroscopy to low for regional blood flow.
Conclusions:
- Quantitative MRI/S measurements exhibit high longitudinal consistency in healthy subjects, defining inherent variability.
- Identifies specific sequences and regions requiring cautious interpretation due to lower reproducibility.
- Provides a foundation for interpreting MRI/S data in neurological disease assessment and treatment monitoring.

