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Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme.

Publication ,  Journal Article
Paldino, MJ; Barboriak, D; Desjardins, A; Friedman, HS; Vredenburgh, JJ
Published in: J Magn Reson Imaging
May 2009

PURPOSE: To quantify the repeatability of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) in patients with glioblastoma multiforme. MATERIALS AND METHODS: IRB approval and informed consent were obtained for this Health Insurance Portability and Accountability Act-compliant study. Sixteen patients with glioblastoma multiforme underwent MR imaging at two time points without interval intervention. ADC and FA maps were registered to the contrast-enhanced and fluid-attenuated inversion recovery (FLAIR) image volumes. Volumes of tumor-related enhancement (TRE) and FLAIR signal abnormality (FSA) were defined using a semiautomated segmentation technique. RESULTS: Repeated observations of mean ADC and mean FA were highly consistent within both TRE (ADC: r = 0.947,P < 0.0001; FA: r = 0.947, P < 0.0001) and FSA (ADC: r = 0.979, P < 0.0001; FA: r = 0.972, P < 0.0001). Within TRE, repeatability coefficients and 95% confidence intervals (CIs) for change measured 0.104 x 10(-3) mm(2)S(-1) and 7.4% (ADC) and 0.0196 and 13.9% (FA), respectively. Within FSA, repeatability coefficients and 95% CI for change measured 0.071 x 10(-3) mm(2)S(-1) and 5.2% (ADC) and 0.0159 and 8.7% (FA), respectively. To detect 10% changes in mean ADC, sample sizes of nine (TRE) and six (FSA) patients would be required. The same change in mean FA would require sample sizes of 21 (TRE) and 10 (FSA) patients, respectively. CONCLUSION: Changes after therapy greater than the repeatability coefficient or 95% CI for change are unlikely to be related to variability in the measurement of ADC and FA.

Duke Scholars

Published In

J Magn Reson Imaging

DOI

ISSN

1053-1807

Publication Date

May 2009

Volume

29

Issue

5

Start / End Page

1199 / 1205

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Glioblastoma
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Paldino, M. J., Barboriak, D., Desjardins, A., Friedman, H. S., & Vredenburgh, J. J. (2009). Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme. J Magn Reson Imaging, 29(5), 1199–1205. https://doi.org/10.1002/jmri.21732
Paldino, Michael J., Daniel Barboriak, Annick Desjardins, Henry S. Friedman, and James J. Vredenburgh. “Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme.J Magn Reson Imaging 29, no. 5 (May 2009): 1199–1205. https://doi.org/10.1002/jmri.21732.
Paldino MJ, Barboriak D, Desjardins A, Friedman HS, Vredenburgh JJ. Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme. J Magn Reson Imaging. 2009 May;29(5):1199–205.
Paldino, Michael J., et al. “Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme.J Magn Reson Imaging, vol. 29, no. 5, May 2009, pp. 1199–205. Pubmed, doi:10.1002/jmri.21732.
Paldino MJ, Barboriak D, Desjardins A, Friedman HS, Vredenburgh JJ. Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme. J Magn Reson Imaging. 2009 May;29(5):1199–1205.
Journal cover image

Published In

J Magn Reson Imaging

DOI

ISSN

1053-1807

Publication Date

May 2009

Volume

29

Issue

5

Start / End Page

1199 / 1205

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
  • Glioblastoma
  • Female