B Vejdani Afkham, S Masjoodi, R Vosoughi, F Mosayebian, M Yousef Pour
MSc, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
J Biomed Phys Eng. 2020 Jun 1;10(3):283-290. doi: 10.31661/jbpe.v0i0.1176. eCollection 2020 Jun.
Many studies have used Cerebral Blood Volume (CBV) for gliomas grading and there has been in good agreement between CBV and tumor grade. Almost all of those studies have emphasized the importance of leakage correction due to the underestimation/overestimation of CBV caused by T1/T2* leakage effect in enhanced cases of tumors, especially high grade ones.
The aim of this study is to investigate two methods of CBV estimation in two groups of gliomas with the same grade and different appearance on post contrast T1 images (Enhanced vs. Non-enhanced ones).
In this retrospective study, eight glioma patients with histopatologically confirmed grade III were equally divided into two groups (with enhancement (group 1) and without enhancement (group 2)), and retrospectively studied. Imaging was performed on a 3 tesla MR Scanner and included gradient-echo DSC, 3D T1-weighted dataset and FLAIR images. The conventional method of CBV measurement (Integration over the whole curve of CTC- method 1) and the GVF fitting (method 2) was done using Matlab.
The observed mean rCBV in the tumor ROI was 2.85 and 2.12 for group 1 with method 1 and 2, respectively. Mean rCBV in the tumor ROI for group 2 was 1.24 and 1.11 with method 1 and 2, respectively.
In conclusion, this pilot study demonstrated that with combined use of pre-bolus and accounting for T2* effect, CBV could be considered as a criterion for the categorization of glioma tumors.
许多研究已将脑血容量（CBV）用于胶质瘤分级，且CBV与肿瘤分级之间存在良好的一致性。几乎所有这些研究都强调了渗漏校正的重要性，因为在肿瘤增强病例（尤其是高级别肿瘤）中，T1/T2*渗漏效应会导致CBV被低估/高估。
本研究旨在调查两组具有相同分级但在对比增强T1图像上表现不同（增强型与非增强型）的胶质瘤中两种CBV估计方法。
在这项回顾性研究中，八名组织病理学确诊为III级的胶质瘤患者被平均分为两组（增强组（第1组）和非增强组（第2组）），并进行回顾性研究。成像在3特斯拉磁共振扫描仪上进行，包括梯度回波DSC、三维T1加权数据集和FLAIR图像。使用Matlab完成CBV测量的传统方法（CTC方法1的整个曲线积分）和GVF拟合（方法2）。
第1组肿瘤感兴趣区（ROI）中，方法1和方法2观察到的平均相对脑血容量（rCBV）分别为2.85和2.12。第2组肿瘤ROI中，方法1和方法2的平均rCBV分别为1.24和1.11。
总之，这项初步研究表明，结合使用预注射期并考虑T2*效应，CBV可被视为胶质瘤分类的一个标准。
