AJDRAJNR - American Journal of Neuroradiology

This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Müller, M.J.
Right arrow Articles by Fellgiebel, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Müller, M.J.
Right arrow Articles by Fellgiebel, A.

BRAIN

Distribution Characteristics, Reproducibility, and Precision of Region of Interest–Based Hippocampal Diffusion Tensor Imaging Measures

M.J. Müllera, M. Mazanekb, C. Weibrichb, P.R. Dellanib, P. Stoeterb and A. Fellgiebela

a Department of Psychiatry, University of Mainz, Germany
b Institute of Neuroradiology, University of Mainz, Germany

Address correspondence to Matthias J. Müller, MD, Department of Psychiatry, University of Mainz, Untere Zahlbacher Str. 8, D-55131 Mainz, Germany

BACKGROUND AND PURPOSE: For adequate interpretation of diffusion tensor imaging (DTI) parameters empirical distribution characteristics, precision, and reproducibility should be known. The present study investigated distribution and reliability parameters of hippocampal fractional anisotropy (FA) and mean diffusivity (MD).

METHODS: FA and MD values were averaged in hippocampal regions of interest in 20 subjects (10 women and 10 men; age range, 25–69 years). Regions of interest were manually placed bilaterally by one investigator at 2 occasions, and by a second independent investigator. Sample distributions of FA and MD values were compared with normal distributions. Intraclass coefficients (ICCs), standard errors of measurement (SEMs), and coefficients of variation (CVs) with confidence intervals (CI95s) were computed.

RESULTS: The results did not show any deviation of averaged FA (0.237 ± 0.017) and MD (775 ± 28 µm2/s) values from normal distribution. Intraobserver reliability (ICC ≥ 0.90) and precision (CV ≤ 3.5%) were high for all measures. Interobserver reliability reached values of ICC ≥ 0.84 and CV ≤ 4.1%. FA yielded lower precision (CV 2.2–4.1%) than MD (CV 1.3–2.5%), CI95s were around ±0.015–0.020 and ±25–30 µm2/s for FA and MD, respectively. FA differences of 0.020–0.030 and MD differences of 40–50 µm2/s can be assumed to reflect reliably distinct values in hippocampal regions.

CONCLUSION: The results are in line with previous reports on reliability of DTI measures by using different designs and methodology. Notwithstanding the difficulties associated with region of interest–derived DTI measurements in hippocampal regions, the present approach provides estimates of distribution characteristics and precision applicable to routine assessments of DTI parameters in clinical and research context.




This article has been cited by other articles:


Home page
Am. J. Roentgenol.Home page
G. Andreisek, L. M. White, A. Kassner, and M. S. Sussman
Evaluation of Diffusion Tensor Imaging and Fiber Tractography of the Median Nerve: Preliminary Results on Intrasubject Variability and Precision of Measurements
Am. J. Roentgenol., January 1, 2010; 194(1): W65 - W72.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
S. Bisdas, D.E. Bohning, N. Besenski, J.S. Nicholas, and Z. Rumboldt
Reproducibility, Interrater Agreement, and Age-Related Changes of Fractional Anisotropy Measures at 3T in Healthy Subjects: Effect of the Applied b-Value
AJNR Am. J. Neuroradiol., June 1, 2008; 29(6): 1128 - 1133.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
S.K. Schimrigk, B. Bellenberg, M. Schluter, B. Stieltjes, R. Drescher, J. Rexilius, C. Lukas, H.K. Hahn, H. Przuntek, and O. Koster
Diffusion Tensor Imaging-Based Fractional Anisotropy Quantification in the Corticospinal Tract of Patients with Amyotrophic Lateral Sclerosis Using a Probabilistic Mixture Model
AJNR Am. J. Neuroradiol., April 1, 2007; 28(4): 724 - 730.
[Abstract] [Full Text] [PDF]