Abdolmohammadi Jamil, Faeghi Fariborz, Arefan Douman, Zali Alireza, Haghighatkhah Hamidreza, Amiri Jamal
Department of Radiology, Faculty of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran. Email:
Asian Pac J Cancer Prev. 2018 Oct 26;19(10):2891-2895. doi: 10.22034/APJCP.2018.19.10.2891.
Introduction: Brain tumors if timely diagnosed are sure to be treated through shorter processes. MRI amongst others is of Para clinical methods greatly effective in diagnosis phase. Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps provide some information that could reflect tissue cellularity. Neurosurgeons, in particular to detect the tumor cellularity, must send the specimens taken through biopsy to the pathology unit. This study is aimed at determining the tumor cellularity in brain. Materials and Methods: In this cross-sectional study, 32 patients (18 males and 14 females of the range 18 – 77 y/o) between April 2014 and February 2016 who were referred to the neurosurgery department of Shohada-E Tajrish Hospital of Tehran participated. Imaging was made using single voxel MR Spectroscopy, ADC and T2W Multi Echo Pulse Sequence in addition to routine pulse sequences and the images were analyzed using MATLAB software to determine the cellularity of brain tumors in comparison to the biopsy. Results: findings showed that by decreasing T2 relaxation time, the amount of ADC, N-Acetyl Aspartate (NAA) and also, increase Choline metabolite, lead to registering tumors in the lower class on the designed table and these tumors have a higher degree of consistency and cellularity. T2 Relaxation time, the tumors will stand at higher class on the designed table. Also the results indicated that 85% diagnostic weight of T2 relaxation time and 83% diagnostic weight of ADC compared with biopsy could reveal the brain tumor cellularity (P>0.05). Conclusion: some cellular metabolite changes such as NAA and Choline, ADC value and T2 relaxation time feature could effectively be used to distinguish and illustrate the degree of cellularity of brain tumors especially Intra-axial brain tumors (with about 85%. vs. biopsy). We recommend to more data should be used to increase the accuracy percentage of this technique.
脑肿瘤若能及时诊断，必然可通过更短的流程进行治疗。磁共振成像（MRI）等是在诊断阶段极为有效的辅助临床方法。扩散加权成像（DWI）和表观扩散系数（ADC）图可提供一些能反映组织细胞密度的信息。神经外科医生尤其为检测肿瘤细胞密度，必须将通过活检获取的标本送至病理科。本研究旨在确定脑肿瘤中的肿瘤细胞密度。
在这项横断面研究中，2014年4月至2016年2月间转诊至德黑兰绍哈达 - 塔吉里什医院神经外科的32例患者（18例男性和14例女性，年龄范围18 - 77岁）参与其中。除常规脉冲序列外，还使用单体素磁共振波谱、ADC和T2加权多回波脉冲序列进行成像，并使用MATLAB软件分析图像，以与活检结果对比确定脑肿瘤的细胞密度。
研究结果显示，随着T2弛豫时间缩短、ADC值、N - 乙酰天门冬氨酸（NAA）含量降低，以及胆碱代谢物增加，在设计表格中肿瘤会被归为较低等级，且这些肿瘤具有更高的一致性和细胞密度。T2弛豫时间延长时，肿瘤在设计表格中会处于较高等级。结果还表明，与活检相比，T2弛豫时间的诊断权重为85%，ADC的诊断权重为83%，可揭示脑肿瘤细胞密度（P>0.05）。
一些细胞代谢物变化，如NAA和胆碱、ADC值以及T2弛豫时间特征，可有效用于区分和说明脑肿瘤尤其是脑内肿瘤的细胞密度程度（与活检相比约为85%）。我们建议使用更多数据以提高该技术的准确率。
