Statistical Evaluations of the Reproducibility and Reliability of 3-Tesla High Resolution Magnetization Transfer Brain Images: A Pilot Study on Healthy Subjects

Magnetization transfer imaging (MT) may have considerable promise for early detection and monitoring of subtle brain changes before they are apparent on conventional magnetic resonance images. At 3 Tesla (T), MT affords higher resolution and increased tissue contrast associated with macromolecules....

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Bibliographic Details
Published in:International journal of biomedical imaging 2010-01, Vol.2010 (1), p.618747-618747
Main Authors: Zou, Kelly H., Du, Hongyan, Sidharthan, Shawn, DeTora, Lisa M., Chen, Yunmei, Ragin, Ann B., Edelman, Robert R., Wu, Ying
Format: Article
Language:English
Subjects:
Agreements
Brain
Colleges & universities
Health Insurance Portability & Accountability Act 1996-US
Methods
Multiple sclerosis
Multivariate analysis
Neuroimaging
Physiological aspects
Statistical methods
Validation studies
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Summary:Magnetization transfer imaging (MT) may have considerable promise for early detection and monitoring of subtle brain changes before they are apparent on conventional magnetic resonance images. At 3 Tesla (T), MT affords higher resolution and increased tissue contrast associated with macromolecules. The reliability and reproducibility of a new high-resolution MT strategy were assessed in brain images acquired from 9 healthy subjects. Repeated measures were taken for 12 brain regions of interest (ROIs): genu, splenium, and the left and right hemispheres of the hippocampus, caudate, putamen, thalamus, and cerebral white matter. Spearman's correlation coefficient, coefficient of variation, and intraclass correlation coefficient (ICC) were computed. Multivariate mixed-effects regression models were used to fit the mean ROI values and to test the significance of the effects due to region, subject, observer, time, and manual repetition. A sensitivity analysis of various model specifications and the corresponding ICCs was conducted. Our statistical methods may be generalized to many similar evaluative studies of the reliability and reproducibility of various imaging modalities.
ISSN:1687-4188
1687-4196
DOI:10.1155/2010/618747