Quantification of viable tumor microvascular characteristics by multispectral analysis

@article{citeulike:2906623, 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. {\copyright} 2008 Wiley-Liss, Inc.}, address = {Department of Translational Oncology, Genentech, South San Francisco, California; Department of Tumor Biology and Angiogenesis, Genentech, South San Francisco, California; Ferrara Lab, Genentech, South San Francisco, California; Department of Protein Engineering, Genentech, South San Francisco, California; Department of Pathology, Genentech, South San Francisco, California}, author = {Berry, Leanne R. and Barck, Kai H. and Go, Mary A. and Ross, Jed and Wu, Xiumin and Williams, Simon P. and Gogineni, Alvin and Cole, Mary J. and Van Bruggen, Nicholas and Fuh, Germaine and Peale, Frank and Ferrara, Napoleone and Ross, Sarajane and Schwall, Ralph H. and Carano, Richard A. D. }, citeulike-article-id = {2906623}, doi = {http://dx.doi.org/10.1002/mrm.21470}, journal = {Magnetic Resonance in Medicine}, keywords = {angiogenesis, dce-mri, dw-mri, mri, t2}, number = {9999}, pages = {NA+}, posted-at = {2008-06-19 07:34:43}, priority = {5}, title = {Quantification of viable tumor microvascular characteristics by multispectral analysis}, url = {http://dx.doi.org/10.1002/mrm.21470}, volume = {9999}, year = {2008} }

TY - JOUR ID - citeulike:2906623 L3 - citeulike-article-id:2906623 TI - Quantification of viable tumor microvascular characteristics by multispectral analysis JF - Magnetic Resonance in Medicine VL - 9999 IS - 9999 SP - NA AD - Department of Translational Oncology, Genentech, South San Francisco, California; Department of Tumor Biology and Angiogenesis, Genentech, South San Francisco, California; Ferrara Lab, Genentech, South San Francisco, California; Department of Protein Engineering, Genentech, South San Francisco, California; Department of Pathology, Genentech, South San Francisco, California N2 - 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. KW - angiogenesis KW - dce-mri KW - dw-mri KW - mri KW - t2 AU - Berry, Leanne AU - Barck, Kai AU - Go, Mary AU - Ross, Jed AU - Wu, Xiumin AU - Williams, Simon AU - Gogineni, Alvin AU - Cole, Mary AU - Van Bruggen, Nicholas AU - Fuh, Germaine AU - Peale, Frank AU - Ferrara, Napoleone AU - Ross, Sarajane AU - Schwall, Ralph AU - Carano, Richard PY - 2008/// UR - http://dx.doi.org/10.1002/mrm.21470 ER -