Su Min-Ying, Cheung Yun-Chung, Fruehauf John P, Yu Hon, Nalcioglu Orhan, Mechetner Eugene, Kyshtoobayeva Ainura, Chen Shin-Cheh, Hsueh Swei, McLaren Christine E, Wan Yung-Liang
Center for Functional Onco-Imaging and Chao Family Comprehensive Cancer Center, University of California Irvine, USA.
J Magn Reson Imaging. 2003 Oct;18(4):467-77. doi: 10.1002/jmri.10380.
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).
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-spot 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.
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.
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.
探讨采用不同分析方法从乳腺癌动态对比增强磁共振成像（DCE-MRI）获得的参数之间的关联，以及它们与血管生成生物标志物（血管内皮生长因子和血管密度）的相关性。
从105例乳腺癌患者（108个病灶）获取DCE-MRI结果。应用了三种分析方法：1）全肿瘤分析，2）区域热点分析，3）肿瘤内逐像素分析。研究了早期增强强度和拟合的药代动力学参数。对71例手术切除标本的石蜡块进行免疫组织化学染色分析，以测量微血管计数（用CD31）和血管内皮生长因子（VEGF）表达水平。
从三种分析方法获得的MRI参数显示出显著相关性（P < 0.0001），但注意到与线性回归线有较大偏差（r = 0.72 - 0.97）。与全感兴趣区（ROI）与热点分析相比，全ROI与像素总体分析的关联性显著更高。VEGF高表达的癌标本的CD31微血管密度显著高于VEGF低水平的标本（P < 0.005）。从三种分析策略获得的MRI参数与基于免疫组织化学的血管生成测量之间未发现显著关联。
在DCE-MRI研究中，一致的分析策略很重要。在本系列研究中，这些策略均未得出基于MRI的肿瘤血管定量结果与基于免疫组织化学测量结果相关的结论。因此，不同的分析无法解释缺乏关联性的原因。
