Bergamino Maurizio, Saitta Laura, Barletta Laura, Bonzano Laura, Mancardi Giovanni Luigi, Castellan Lucio, Ravetti Jean Louis, Roccatagliata Luca
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, 16132 Genoa, Italy ; Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, 16132 Genoa, Italy.
Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, 16132 Genoa, Italy.
ISRN Neurosci. 2013 Feb 20;2013:905279. doi: 10.1155/2013/905279. eCollection 2013.
The purpose of this study was to assess the feasibility of measuring different permeability parameters with T1-weighted dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in order to investigate the blood brain-barrier permeability associated with different brain tumors. The Patlak algorithm and the extended Tofts-Kety model were used to this aim. Twenty-five adult patients with tumors of different histological grades were enrolled in this study. MRI examinations were performed at 1.5 T. Multiflip angle, fast low-angle shot, and axial 3D T1-weighted images were acquired to calculate T1 maps, followed by a DCE acquisition. A region of interest was placed within the tumor of each patient to calculate the mean value of different permeability parameters. Differences in permeability measurements were found between different tumor grades, with higher histological grades characterized by higher permeability values. A significant difference in transfer constant (K (trans)) values was found between the two methods on high-grade tumors; however, both techniques revealed a significant correlation between the histological grade of tumors and their K (trans) values. Our results suggest that DCE acquisition is feasible in patients with brain tumors and that K (trans) maps can be easily obtained by these two algorithms, even if the theoretical model adopted could affect the final results.
本研究的目的是评估采用T1加权动态对比增强（DCE）磁共振成像（MRI）测量不同通透性参数的可行性，以研究与不同脑肿瘤相关的血脑屏障通透性。为此使用了Patlak算法和扩展的Tofts-Kety模型。本研究纳入了25例不同组织学分级的成年肿瘤患者。MRI检查在1.5 T下进行。采集多翻转角、快速小角度激发和轴向3D T1加权图像以计算T1图，随后进行DCE采集。在每位患者的肿瘤内放置感兴趣区，以计算不同通透性参数的平均值。发现不同肿瘤分级之间的通透性测量存在差异，组织学分级越高，通透性值越高。在高级别肿瘤中，两种方法的转移常数（K（trans））值存在显著差异；然而，两种技术均显示肿瘤的组织学分级与其K（trans）值之间存在显著相关性。我们的结果表明，DCE采集在脑肿瘤患者中是可行的，并且即使采用的理论模型可能会影响最终结果，通过这两种算法也可以轻松获得K（trans）图。
