Xu Huayan, Zhuang Hua, Yang Zhigang, Li Yuan, Shi Ke
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Apr;33(2):332-336.
This research is to explore the perfusion time-intensity curve parameters of a lung adenocarcinoma xenograft into nude mouse model with contrast enhanced ultrasonography(CEUS);and to investigate the angiogenesis features of tumor at different growth time.Twenty one lung adenocarcinoma xenografted nude mice were divided into three groups and inculcated with human lung adenocarcinoa.Time window for examining CEUS were respectively in7-day,14-day and 28-day.The perfusion parameters including rise time(RT),peak intensity(PI),area under the curve(AUC)of lung tumor were obtained on CEUS images by using off-line software Q lab.Immunohistochemically staining for CD34 was used to observe the microvessel density(MVD).The 7-day group had the highest AUC and PI;AUC and PI of 14-day and 28-day group decreased gradually(P<0.05).RT was increased as tumor growth.In tumor with necrosis,AUC and PI of non-necrosis part were also larger than necrosis part(P<0.05).Immunohistochemically staining for CD34 of all tumors reflected that the density of microvessels in necrosis tumor was significantly higher than those without necrosis(7.50±3.44 vs.12.44±5.74,P=0.034).Pearson correlation indicated that PI was positively related with MVD(r=0.668,P=0.008).Lung adenocarcinoma perfusion characteristic can be accessed from time-intensity curve parameters by using noninvasively and non-radiative contrast enhanced ultrasonography.Time-intensity curve parameters including AUC,PI and RT may reflect tumor angiogenesis.
本研究旨在通过超声造影(CEUS)探讨肺腺癌裸鼠移植瘤的灌注时间-强度曲线参数;并研究肿瘤在不同生长时间的血管生成特征。将21只肺腺癌移植裸鼠分为三组,接种人肺腺癌。CEUS检查的时间窗分别为7天、14天和28天。使用离线软件Q lab在CEUS图像上获取肺肿瘤的灌注参数,包括上升时间(RT)、峰值强度(PI)、曲线下面积(AUC)。采用CD34免疫组织化学染色观察微血管密度(MVD)。7天组的AUC和PI最高;14天和28天组的AUC和PI逐渐降低(P<0.05)。RT随肿瘤生长而增加。在有坏死的肿瘤中,非坏死部分的AUC和PI也大于坏死部分(P<0.05)。所有肿瘤的CD34免疫组织化学染色显示,坏死肿瘤中的微血管密度明显高于无坏死肿瘤(7.50±3.44对12.44±5.74,P=0.034)。Pearson相关性分析表明,PI与MVD呈正相关(r=0.668,P=0.008)。使用无创、无辐射的超声造影通过时间-强度曲线参数可评估肺腺癌灌注特征。包括AUC、PI和RT在内的时间-强度曲线参数可能反映肿瘤血管生成。