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DCE-MRI参数与肿瘤新生血管的相关性的研究 被引量:12

Parameters of Dynamic Contrast-Enhanced MRI as Imaging Markers for Angiogenesis in Human Breast Cancer
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摘要 目的:研究DCE-MRI(dynamic contrast-enhanced magnetic resconance imaging,DCE-MRI)参数与肿瘤新生血管的相关性。方法:应用3.0T磁共振仪对124例乳腺肿瘤患者行DCE-MR检查,经手术病理证实恶性59例;良性65例。并计算血流动力学参数K^(trans)、K_(ep)、Ve以及ADC(apparent diffusion cofficient,ADC)值。运用Person检验分析磁共振各参数值与CD31、CD105表达的微血管密度(MVD)之间的相互关系,以及与细胞增殖Ki-67的相关性。结果:K^(trans)、K_(ep)以及ADC值在恶、良性病变、正常腺体组之间两两比较有统计学差异,K^(trans)、K_(ep)值在恶性病变组最高,高于正常组织、良性病变组(P<0.05)。而Ve值正常腺体、良性病变以及正常腺体组与恶性病变组两两比较有统计学意义(P<0.05),良性病变与恶性病变组比较无统计学差异(P>0.05)。并且K^(trans)和K_(ep)值在浸润性导管癌和导管原位癌组明显高于不典型增生组(P<0.001)。相反ADC值浸润性癌和导管原位癌低于不典型增生(P<0.001)。而Ve值在各组间无统计学差异(P>0.05)。另外CD105、Ki-67与磁共振参数K^(trans)、K_(ep)和ADC值之间具有相关性(P<0.05,r=0.563,r=-0.566)。结论:DCE-MRI成像中K^(trans)、K_(ep)和ADC值可以定量评估乳腺癌微血管密度。 Objective: Breast cancer is the most common malignancy and the leading cause of cancer death in women worldwide; yet, early diagnosis has been difficult due to its complex pathological structure. This study evaluated the value of morphological examination in conjunction with dynamic contrast-enhanced MRI (DCE-MRI) for more precise diagnosis of breast cancer, as well as their correlation with angiogenesis and proliferation biomarkers. Methods: DCE-MRI parameters (including Kmms, Kes Vc, and ADC) were obtained from 124 patients with breast cancer (128lesions). Microvessel density (MVD) was evaluated by the immunohistochemical analysis of tumor vessels for CD31 and CD105 expression.The proliferation was assessed by analyzing Ki67. Results: Ktrans values were in the order of malignant lesions 〉 normal glands 〉 benign lesions. Similar results were observed for I~,. The opposite changes were seen with Ve. Ktrms and Kep values were significantly higher in invasive ductal carcinoma (IDC) and duetal carcinoma in situ (DCIS) than in mammary ductal dysplasia. In sharp contrast, ADC values were lower in IDC and DCIS than in MDD, and Vo was not significantly different among the three groups. In addition, expression of CD105 and Ki67, the commonly recognized markers for angiogenesis and proliferation, respectively, were closely correlated with MRI parameters as revealed by Pearson analysis. Conelusiom: Determination of Ktrans, Kep and ADC values permits estimation of tumor angiogenesis and proliferation in breast cancer and DCE-MRI parameters can be used as imaging biomarkers to predict the biologic aggressiveness of the tumor and patient prognosis.
出处 《现代生物医学进展》 CAS 2016年第14期2687-2691,共5页 Progress in Modern Biomedicine
基金 黑龙江省教育厅项目(12531248) 黑龙江省卫生厅项目(2012-709)
关键词 磁共振动态增强成像 血管生成 细胞增殖 CD105 KI67 MRI Angiogenesis Proliferation CD105 Ki67
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  • 1Bluemke DA, Gatsonis CA, Chen MH, et al. Magnetic resonance imaging of the breast prior to biopsy[J]. JAMA, 2004, 292(22): 2735- 2742.
  • 2Liong YV, Hong GS, Teo JG, et al. Breast ductal carcinoma in situ presenting as recurrent non-purperal mastitis: case report and literature review[J]. World J Surg Oncol, 2013, 11(1): 17.
  • 3Hylton N, Yankeelov TE, Lepage M, et al. MR imaging for assessment of breast cancer response to neoadjuvant chemotherapy [J]. Magn Reson Imaging Clin N Am, 2006, 14(3): 383-389.
  • 4Charpin-Taranger C, Dales JP, Garcia S, et al. The immunohistochemical expression of CD105 is a marker for high metastatic risk and worse prognosis in breast cancers [J]. Bull Aead Natl Med, 2003, 187(22): 1129-1145.
  • 5Wang WQ, Liu L, Sun HC, et al. Tanshinone IIA inhibits metastasis after palliative resection of hepatocellular carcinoma and prolongs survival in part via vascular normalization[J]. Hematol Oncol, 2012, 5 (1): 69.
  • 6Yasukawa T, Kimura H, Tabata Y, et al. Active drug targeting with immunoconjugates to choroidal neovascularization [J]. Cur Eye Res, 2000, 21(8): 952-961.
  • 7Harrer JU, Parker GJ, Haroon HA, et al. Comparative study of methods for determing Vascular permeability and blood volume in human gliomas[J]. J Magn Reson Imaging, 2004, 20(5): 748-757.
  • 8Zaharchuk G, BernardoV, Canedo, et al. NH,. Theoretical basis of hemodynamic MR imaging techniques to measure cerebral blood volume, cerebral blood flow, and permeability [J]. AJNR Am J Neuraradiol, 2007, 28(10): 1850-1858.
  • 9Paschoal JP, Bernardo V, Canedo NH, et al. Microvascular density of regenerative nodule to small hepatocellular carcinoma by automated analysis using CD105 and CD34 immunoexpression[J]. BMC Cancer, 2014, 14(5): 72.
  • 10Grigore D, Simionescu CE, Stepan A, et al. Assessment of CD105, alpha-SMA and VEGF expression in gastric carcinomas [J]. Rom J Morphol Embryol, 2013, 54:701-707.

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