4.7 Article Proceedings Paper

Correlation of dynamic contrast enhancement MRI parameters with microvessel density and VEGF for assessment of angiogenesis in breast cancer

Journal

JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 18, Issue 4, Pages 467-477

Publisher

WILEY
DOI: 10.1002/jmri.10380

Keywords

dynamic contrast enhanced MRI; angiogenic biomarkers; tumor angiogenesis; breast cancer; hot spot and pixel-by-pixel analysis

Funding

  1. NCI NIH HHS [R01 CA90437] Funding Source: Medline

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Purpose: To investigate the association between parameters obtained from dynamic contrast enhanced MRI (DCE-MRI) of breast cancer using different analysis approaches, as well as their correlation with angiogenesis biomarkers (vascular endothelial growth factor and vessel density). Materials and Methods: DCE-MRI results were obtained from 105 patients with breast cancer (108 lesions). Three analysis methods were applied: 1) whole tumor analysis, 2) regional hot-soot analysis, and 3) intratumor pixel-by-pixel analysis. Early enhancement intensities and fitted pharmacokinetic parameters were studied. Paraffin blocks of 71 surgically resected specimens were analyzed by immunohistochemical staining to measure microvessel counts (with CD31) and vascular endothelial growth factor (VEGF) expression levels. Results: MRI parameters obtained from the three analysis methods showed significant correlations (P < 0.0001), but a substantial dispersion from, the linear regression line was noted (r = 0.72-0.97). The entire region of interest (ROI) vs. pixel population analyses had a significantly higher association compared to the entire ROI vs. hot-spot analyses. Cancer specimens with high VEGF expression had significantly higher CD31 microvessel densities than did specimens with low VEGF levels (P < 0.005). No significant association was found between MRI parameters obtained from the three analysis strategies and IHC based measurements of angiogenesis. Conclusion: A consistent analysis strategy was important in-the DCE-MRI study. In this series, none of these strategies yielded results for MRI based quantitation of tumor vascularity that were associated with IHC based measurements., Therefore, different analyses could not account for the lack of association.

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