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An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab.

Publication ,  Journal Article
Ferl, GZ; Xu, L; Friesenhahn, M; Bernstein, LJ; Barboriak, DP; Port, RE
Published in: Magn Reson Med
May 2010

Here, we describe an automated nonparametric method for evaluating gadolinium-diethylene triamine pentaacetic acid (Gd-DTPA) kinetics, based on dynamic contrast-enhanced-MRI scans of glioblastoma patients taken before and after treatment with bevacizumab; no specific model or equation structure is assumed or used. Tumor and venous blood concentration-time profiles are smoothed, using a robust algorithm that removes artifacts due to patient motion, and then deconvolved, yielding an impulse response function. In addition to smoothing, robustness of the deconvolution operation is assured by excluding data that occur prior to the plasma peak; an exhaustive analysis was performed to demonstrate that exclusion of the prepeak plasma data does not significantly affect results. All analysis steps are executed by a single R script that requires blood and tumor curves as the sole input. Statistical moment analysis of the Impulse response function yields the area under the curve (AUC) and mean residence time (MRT). Comparison of deconvolution results to fitted Tofts model parameters suggests that AUCMRT and AUC of the Impulse response function closely approximate fractional clearance from plasma to tissue (K(trans)) and fractional interstitial volume (v(e)). Intervisit variability is shown to be comparable when using the deconvolution method (11% [AUCMRT] and 13%[AUC]) compared to the Tofts model (14%[K(trans)] and 24%[v(e)]). AUC and AUCMRT both exhibit a statistically significant decrease (P < 0.005) 1 day after administration of bevacizumab.

Duke Scholars

Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

May 2010

Volume

63

Issue

5

Start / End Page

1366 / 1375

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Metabolic Clearance Rate
  • Male
  • Kinetics
  • Imaging, Three-Dimensional
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ferl, G. Z., Xu, L., Friesenhahn, M., Bernstein, L. J., Barboriak, D. P., & Port, R. E. (2010). An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab. Magn Reson Med, 63(5), 1366–1375. https://doi.org/10.1002/mrm.22335
Ferl, Gregory Z., Lu Xu, Michel Friesenhahn, Lisa J. Bernstein, Daniel P. Barboriak, and Ruediger E. Port. “An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab.Magn Reson Med 63, no. 5 (May 2010): 1366–75. https://doi.org/10.1002/mrm.22335.
Ferl GZ, Xu L, Friesenhahn M, Bernstein LJ, Barboriak DP, Port RE. An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab. Magn Reson Med. 2010 May;63(5):1366–75.
Ferl, Gregory Z., et al. “An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab.Magn Reson Med, vol. 63, no. 5, May 2010, pp. 1366–75. Pubmed, doi:10.1002/mrm.22335.
Ferl GZ, Xu L, Friesenhahn M, Bernstein LJ, Barboriak DP, Port RE. An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab. Magn Reson Med. 2010 May;63(5):1366–1375.
Journal cover image

Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

May 2010

Volume

63

Issue

5

Start / End Page

1366 / 1375

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Metabolic Clearance Rate
  • Male
  • Kinetics
  • Imaging, Three-Dimensional