Vascular perfusion of human lung cancer in a rat orthotopic model using dynamic contrast-enhanced magnetic resonance imaging
Vascular perfusion of human lung cancer in a rat orthotopic model using dynamic contrast-enhanced magnetic resonance imaging
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DOI：
10.1002/ijc.21857
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发表时间：
2006-07-15
影响因子：
6.4
通讯作者：
Furman-Haran, Edna
中科院分区：
文献类型：
--
作者：
Rosen, Yael;Ramniceanu, Gregory;Furman-Haran, Edna
肺癌是癌症中最主要的死亡原因。早期发现和诊断是努力提高肺癌患者存活率的主要目标。肿瘤血管生成活性和微血管灌注特性的改变可作为恶性肿瘤的标志。本研究的目的是利用MRI手段测量原位非小细胞肺癌的微血管血流参数，使用实验大鼠模型。在高空间分辨率下采集解剖和动态增强的肺部图像，并通过基于模型的算法逐个像素和全局地配准和分析。MRI输出产生彩色编码的参数图像，显示流入和流出的跨毛细血管传递常数，显示快速的微血管灌流。转移常数比其他肿瘤或非原位肺癌高出约一个数量级，内流常数中位数为0.42min(-1)，外排常数中位值为1.61min(-1)。快速血流灌注与毛细血管免疫染色相一致，提示肿瘤对现有肺泡血管的破坏。结果表明，高分辨率动态增强MRI是定量测量肺癌血流和血管时空变化的有效工具。(C)2006年Wiley-Liss，Inc.
Lung cancer is the leading cause of death among cancers. Early detection and diagnosis present a major goal in the efforts to improve survival rates of lung cancer patients. Changes in angiogenic activity and microvascular perfusion properties in cancers can serve as markers of malignancy. The aim of this study was to employ MRI means to measure the microvascular perfusion parameters of orthotopic nonsmall cell lung cancer, using the experimental rat model. Anatomical and dynamic contrast-enhanced lung images were acquired at high spatial resolution, and registered and analyzed, pixel by pixel and globally, by means of a model-based algorithm. The MRI output yielded color-coded parametric images of the influx and efflux transcapillary transfer constants that indicated rapid microvascular perfusion. The transfer constants were about 1 order of magnitude higher than those found in other tumors or in nonorthotopic lung cancer, with the influx constant median value of 0.42 min(-1) and the efflux constant median value of 1.61 min(-1). The rapid perfusion was in accord with the immunostaining of the capillaries, which suggested the tumor exploitation of the existing alveolar vessels. The results showed that high resolution, dynamic, contrast-enhanced MRI is an effective tool for the quantitative measurement of spatial and temporal changes in lung cancer perfusion and vasculature. (c) 2006 Wiley-Liss, Inc.