摘要
目的:在结肠癌裸鼠皮下移植瘤模型中探讨磁共振动态增强扫描(DCE-MRI)联合扩散加权成像(DWI)技术无创性评价肿瘤血管生成的应用价值。方法:20只结肠癌裸鼠皮下移植瘤模型连续4d行DCE-MRI、DWI及常规MRI扫描,动态观察信号最大上升斜率(MSI)、微血管转运常数(K^(trans))、反流速率常数(K^(ep))及各类表观扩散系数值等参数的变化,分别于第3、4天MRI扫描结束后各处死10只行病理免疫组化染色,并与MRI各参数行相关性分析。结果:随着观察时间的延长,K^(trans)及K_(ep)值逐渐增加,ADC_(3b)及ADC_(10b)值逐渐减低(P<0.05)。K^(trans)、K_(ep)、MSI及ADC_(perf) 4个参数间相互存在正相关性;而K^(trans)分别与ADC_(3b)及ADC_(10b)之间存在负相关性。K^(trans)、K_(ep)MSI及ADC_(perf)直分别与MVD计数及VEGF强度表达间具有很好的正相关性,其中以K^(trans)与MVD计数相关性最强(r=0.715,P=0.000)。结论:DCE-MRI及DWI技术获得的定量及半定量参数可以作为影像生物标记物无创性的评价肿瘤血管的生长,其中DCE-MRI中定量参数K^(trans)、K_(ep)更具有应用价值。
Purpose： To discuss dynamic contrast-enhanced （DCE-MRI） combined with diffusion- weighted MR imaging （DWl） for noninvasive evaluation of tumor angiogenesis in subcutaneous colon cancer xenograft model in nude mice. Methods： DCE-MRI, DWI and conventional MRI were performed for four consecutive days in 20 nude mice with subcutaneous colon cancer xenograft model. The following parameters were observed, including maximum slope of increase （MSI）, microvaseular permeability transfer constant （Ktrans）, microvascular permeability reflux constant （K^p）, and various types of apparent diffusion coefficient （ADC）. The correlation between above parameters and pathological immunohistoehemieal results was analyzed. Results：With the extension of the observation time, tumor Kt and Kcp were gradually increased, ADC3b and ADC^0b were gradually reduced （P〈0.05）. There was positive correlation between Kt and Kep, MSI, ADCpcrf. However, Kt was negatively correlated with ADC3b and ADCl0b. Some MRI parameters （ Kep, Kep, MSI and ADCpep ） were significantly correlated with microvessel density （MVD） and VEGF intensity of expression. Especially, Kt and MVD were with the strongest correlation （i- = 0.715, P = 0.000）. Conclusion： Quantitative and semi-quantitative parameters from DCE-MRI and DWI can be used as imaging biomarkers for noninvasive evaluation of tumor angiogenesis. In particular, the Kt and Kep have more practical value.
出处
《中国医学计算机成像杂志》
CSCD
北大核心
2012年第6期542-547,共6页
Chinese Computed Medical Imaging
基金
中国科学院上海营养科学研究所临床研究中心基金资助(CRC2010003)~~
