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- Title
Quantification of viable tumor microvascular characteristics by multispectral analysis.
- Authors
Berry, Leanne R.; 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 A.D.
- Abstract
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, T2 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 Ktrans 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 Ktrans 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. Magn Reson Med, 2008. © 2008 Wiley-Liss, Inc.
- Publication
Magnetic Resonance in Medicine, 2008, Vol 60, Issue 1, p64
- ISSN
0740-3194
- Publication type
Article
- DOI
10.1002/mrm.21470