Jia Zhong Zheng, Shi Wei, Shi Jin Long, Shen Dan Dan, Gu Hong Mei, Zhou Xue Jun
Department of Radiology, Affiliated Hospital of Nantong University, No. 20 Xisi Road Nantong 226001, Jiangsu, People's Republic of China.
Department of Neurosurgery, Affiliated Hospital of Nantong University, 20 Xisi Road, Nantong 226001, Jiangsu, People's Republic of China.
Eur J Radiol. 2017 Feb;87:120-124. doi: 10.1016/j.ejrad.2016.12.016. Epub 2016 Dec 19.
Perfusion computed tomography (PCT) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) provide independent measurements of biomarkers related to tumor perfusion. The aim of this study was to compare the two techniques in assessing glioblastoma microvasculature.
Twenty-five patients diagnosed with glioblastoma (14 males and 11 females; 51±11years old, ranging from 33 to 70 years) were includede in this prospective study. All patients underwent both PCT and DCE-MRI. Imaging was performed on a 256-slice CT scanner and a 3-T MRI system. PCT yielded permeability surface-area product (PS) using deconvolution physiological models; meanwhile, DCE-MRI determined volume transfer constant (K) using the Tofts-Kermode compartment model. All cases were submitted to surgical intervention, and CD105-microvascular density (CD105-MVD) was measured in each glioblastoma specimen. Then, Spearman's correlation coefficients and Bland-Altman plots were obtained for PS, K and CD105-MVD. P<0.05 was considered statistically significant.
Tumor PS and K values were correlated with CD105-MVD (r=0.644, P<0.001; r=0.683, P<0.001). In addition, PS was correlated with K in glioblastoma (r=0.931, P<0.001). Finally, Bland-Altman plots showed no significant differences between PS and K (P=0.063).
PCT and DCE-MRI measurements of glioblastoma perfusion biomarkers have similar results, suggesting that both techniques may have comparable utility. Therefore, PCT may serve as an alternative modality to DCE-MRI for the in vivo evaluation of glioblastoma microvasculature.
灌注计算机断层扫描(PCT)和动态对比增强磁共振成像(DCE-MRI)可独立测量与肿瘤灌注相关的生物标志物。本研究旨在比较这两种技术在评估胶质母细胞瘤微血管系统方面的效果。
本前瞻性研究纳入了25例诊断为胶质母细胞瘤的患者(14例男性和11例女性;年龄51±11岁,范围为33至70岁)。所有患者均接受了PCT和DCE-MRI检查。成像在256层CT扫描仪和3-T MRI系统上进行。PCT使用去卷积生理模型得出通透表面积乘积(PS);同时,DCE-MRI使用Tofts-Kermode房室模型确定容积转移常数(K)。所有病例均接受手术干预,并在每个胶质母细胞瘤标本中测量CD105微血管密度(CD105-MVD)。然后,得出PS、K和CD105-MVD的Spearman相关系数和Bland-Altman图。P<0.05被认为具有统计学意义。
肿瘤PS和K值与CD105-MVD相关(r=0.644,P<0.001;r=0.683,P<0.001)。此外,胶质母细胞瘤中PS与K相关(r=0.931,P<0.001)。最后,Bland-Altman图显示PS和K之间无显著差异(P=0.063)。
PCT和DCE-MRI对胶质母细胞瘤灌注生物标志物的测量结果相似,表明这两种技术可能具有相当的效用。因此,PCT可作为DCE-MRI的替代方法,用于胶质母细胞瘤微血管系统的体内评估。