Department of Radiology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Eur Radiol. 2009 Nov;19(11):2641-6. doi: 10.1007/s00330-009-1453-z. Epub 2009 May 27.
The purpose of this study was to evaluate a whole-organ perfusion protocol of the pancreas in patients with primary pancreas carcinoma and to analyse perfusion differences between normal and diseased pancreatic tissue. Thirty patients with primary pancreatic malignancy were imaged on a 320-slice CT unit. Twenty-nine cancers were histologically proven. CT data acquisition was started manually after contrast-material injection (8 ml/s, 350 mg iodine/ml) and dynamic density measurements in the right ventricle. After image registration, perfusion was determined with the gradient-relationship technique and volume regions-of-interest were defined for perfusion measurements. Contrast time-density curves and perfusion maps were generated. Statistical analysis was performed using the Kolmogorov-Smirnov test for analysis of normal distribution and Kruskal-Wallis test (nonparametric ANOVA) with Bonferroni correction for multiple stacked comparisons. In all 30 patients the entire pancreas was imaged, and registration could be completed in all cases. Perfusion of pancreatic carcinomas was significantly lower than of normal pancreatic tissue (P < 0.001) and could be visualized on colored perfusion maps. The 320-slice CT allows complete dynamic visualization of the pancreas and enables calculation of whole-organ perfusion maps. Perfusion imaging carries the potential to improve detection of pancreatic cancers due to the perfusion differences.
本研究旨在评估一种用于原发性胰腺癌患者的胰腺整体灌注方案,并分析正常胰腺组织和病变胰腺组织之间的灌注差异。30 名原发性胰腺恶性肿瘤患者在 320 层 CT 机上进行成像。29 例癌症经组织学证实。在右心室注射造影剂(8ml/s,350mg 碘/ml)后手动开始 CT 数据采集,并进行动态密度测量。图像配准后,采用梯度相关技术确定灌注,并为灌注测量定义体积感兴趣区。生成对比时间密度曲线和灌注图。采用 Kolmogorov-Smirnov 检验分析正态分布,采用 Kruskal-Wallis 检验(非参数 ANOVA)和 Bonferroni 校正进行多重堆叠比较,对统计分析进行检验。在所有 30 名患者中,均对整个胰腺进行成像,且所有病例均可完成配准。胰腺癌的灌注明显低于正常胰腺组织(P<0.001),并可在彩色灌注图上显示。320 层 CT 允许对胰腺进行完整的动态可视化,并可计算全器官灌注图。由于灌注差异,灌注成像有可能提高胰腺癌的检出率。