Quantification of viable tumor microvascular characteristics by multispectral analysis Academic Article uri icon

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  • Tumor heterogeneity complicates the quantification of tumor microvascular characteristics assessed by dynamic contrast-enhanced MRI (DCE-MRI). To address this issue a novel approach was developed that combines DCE-MRI with diffusion-based multispectral (MS) analysis to quantify the microvascular characteristics of specific tumor tissue populations. Diffusion-based MS segmentation (feature space: apparent diffusion coefficient, T(2) and proton density) was performed to identify tumor tissue populations and the DCE-MRI characteristics were determined for each tissue class. The ability of this MS DCE-MRI technique to detect microvascular changes due to treatment with an antibody (G6-31) to vascular endothelial growth factor-A (VEGF) was evaluated in a tumor xenograft mouse model. Anti-VEGF treatment resulted in a significant reduction in K(trans) for the MS viable tumor tissue class (-0.0034 +/- 0.0022 min(-1), P < 0.01) at 24 hr posttreatment that differ significantly from the change observed in the control group (0.0002 +/- 0.0025 min(-1)). Viable tumor K(trans) for the anti-VEGF group was also reduced 62% relative to the pretreatment values (P < 0.01). Necrotic tissue classes were found to add only noise to DCE-MRI estimates. This approach provides a means to measure physiological parameters within the viable tumor and address the issue of tumor heterogeneity that complicates DCE-MRI analysis.


  • Berry, Leslie Roy
  • Barck, Kai H
  • Go, Mary Ann
  • Ross, Jed
  • Wu, Xiumin
  • Williams, Simon P
  • Gogineni, Alvin
  • Cole, Mary J
  • Van Bruggen, Nicholas
  • Fuh, Germaine
  • Peale, Frank
  • Ferrara, Napoleone
  • Ross, Sarajane
  • Schwall, Ralph H
  • Carano, Richard AD

publication date

  • July 2008