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扩散张量纤维束成像在大鼠胶质瘤中描绘皮质脊髓束的价值:通过相关组织学进行验证

The value of diffusion tensor tractography delineating corticospinal tract in glioma in rat: validation via correlation histology.

作者信息

Jia Xiaoxiong, Su Zhiyong, Hu Junlin, Xia Hechun, Ma Hui, Wang Xiaodong, Yan Jiangshu, Ma Dede

机构信息

Neurosurgery, General Hospital of NingXia Medical University, Yinchuan, China.

Incubation Base of National Key Laboratory for Cerebrocranial Diseases, Ningxia Medical University, Yinchuan, China.

出版信息

PeerJ. 2019 Feb 13;7:e6453. doi: 10.7717/peerj.6453. eCollection 2019.

DOI:10.7717/peerj.6453
PMID:30783577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6377590/
Abstract

BACKGROUND

An assessment of the degree of white matter tract injury is important in neurosurgical planning for patients with gliomas. The main objective of this study was to assess the injury grade of the corticospinal tract (CST) in rats with glioma using diffusion tensor imaging (DTI).

METHODS

A total 17 rats underwent 7.0T MRI on day 10 after tumor implantation. The apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were acquired in the tumor, peritumoral and contralateral areas, and the ADC ratio (ipsilateral ADC/contralateral ADC) and rFA (relative FA = ipsilateral FA/contralateral FA) in the peritumoral areas were measured. The CST injury was divided into three grades and delineated by diffusion tensor tractography reconstruction imaging. The fiber density index (FDi) of the ipsilateral and contralateral CST and rFDi (relative FDi = ipsilateral FDi/contralateral FDi) in the peritumoral areas were measured. After the mice were sacrificed, the invasion of glioma cells and fraction of proliferating cells were observed by hematoxylin-eosin and Ki67 staining in the tumor and peritumoral areas. The correlations among the pathology results, CST injury grade and DTI parameter values were calculated using a Spearman correlation analysis. One-way analysis of variance was performed to compare the different CST injury grade by the rFA, rFDi and ADC ratio values.

RESULTS

The tumor cells and proliferation index were positively correlated with the CST injury grade ( = 0.8857, 0.9233, < 0.001). A negative correlation was demonstrated between the tumor cells and the rFA and rFDi values in the peritumoral areas ( = -0.8571, -0.5588), and the proliferation index was negatively correlated with the rFA and rFDi values ( = -0.8571, -0.5588), while the ADC ratio was not correlated with the tumor cells or proliferation index. The rFA values between the CST injury grades (1 and 3, 2 and 3) and the rFDi values in grades 1 and 3 significantly differed ( < 0.05).

CONCLUSIONS

Diffusion tensor imaging may be used to quantify the injury degrees of CST involving brain glioma in rats. Our data suggest that these quantitative parameters may be used to enhance the efficiency of delineating the relationship between fiber tracts and malignant tumor.

摘要

背景

在胶质瘤患者的神经外科手术规划中,评估白质束损伤程度很重要。本研究的主要目的是使用扩散张量成像(DTI)评估胶质瘤大鼠皮质脊髓束(CST)的损伤等级。

方法

总共17只大鼠在肿瘤植入后第10天接受7.0T磁共振成像(MRI)检查。在肿瘤、瘤周和对侧区域获取表观扩散系数(ADC)和分数各向异性(FA),并测量瘤周区域的ADC比值(同侧ADC/对侧ADC)和相对FA(rFA =同侧FA/对侧FA)。将CST损伤分为三个等级,并通过扩散张量纤维束成像重建进行描绘。测量瘤周区域同侧和对侧CST的纤维密度指数(FDi)以及相对FDi(rFDi =同侧FDi/对侧FDi)。小鼠处死后,通过苏木精-伊红染色和Ki67染色观察肿瘤和瘤周区域的胶质瘤细胞侵袭和增殖细胞比例。使用Spearman相关分析计算病理结果、CST损伤等级和DTI参数值之间的相关性。进行单因素方差分析以比较不同CST损伤等级的rFA、rFDi和ADC比值。

结果

肿瘤细胞和增殖指数与CST损伤等级呈正相关(= 0.8857,0.9233,< 0.001)。瘤周区域的肿瘤细胞与rFA和rFDi值呈负相关(= -0.8571,-0.5588),增殖指数与rFA和rFDi值呈负相关(= -0.8571,-0.5588),而ADC比值与肿瘤细胞或增殖指数无关。CST损伤等级(1和3、2和3)之间的rFA值以及1级和3级的rFDi值有显著差异(< 0.05)。

结论

扩散张量成像可用于量化大鼠脑胶质瘤累及的CST损伤程度。我们的数据表明,这些定量参数可用于提高描绘纤维束与恶性肿瘤之间关系的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/d72977864b3a/peerj-07-6453-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/93c9c5ecb18f/peerj-07-6453-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/5269378cdd97/peerj-07-6453-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/e5403e1ce364/peerj-07-6453-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/c979c61db16f/peerj-07-6453-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/d72977864b3a/peerj-07-6453-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/93c9c5ecb18f/peerj-07-6453-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/5269378cdd97/peerj-07-6453-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/e5403e1ce364/peerj-07-6453-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/c979c61db16f/peerj-07-6453-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f07/6377590/d72977864b3a/peerj-07-6453-g005.jpg

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