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MRI 3D-ASL Combined With DTI In The Diagnosis Of Common Intracranial Tumors And Glioma Grading

Posted on:2021-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:S X ZengFull Text:PDF
GTID:2404330629952226Subject:Imaging and nuclear medicine
Abstract/Summary:
Objective: Compare the differences between magnetic resonance diffusion tensor imaging(DTI)and three-dimensional arterial spin labeling imaging(3D-ASL)alone and the two methods in common intracranial tumors and their value for grading gliomas.Explore DTI Application value of 3D-ASL technology in preoperative diagnosis and classification of common intracranial tumors.Materials and methods: A total of 40 patients with brain tumors confirmed by neurosurgery and pathology during the first affiliated hospital of Shihezi University School of Medicine from August 2018 to December 2019 were collected,including 9 meningiomas and 22 gliomas(WHO grade I 7 cases of grade Ⅱ and grade II gliomas,15 cases of WHO grade III and grade IV gliomas)and 9 cases of metastatic tumors.All patients underwent conventional magnetic resonance imaging scans(SET1WI,FSET2 WI,three-plane TIWI enhancement),three-dimensional spin-labeled perfusion imaging(3D-ASL)scanning,and diffusion tensor imaging(DTI)scanning before surgery.By measuring TBF,r TBF value,FAmean value,r FAmean value,FAmax value,FAmin value,ADCmean value,r ADCmean value,ADCmin value,and FAmean value and ADCmean value of the peritumor edema area by using the relevant statistical analysis method,Analyze whether there is a difference between the measured values and determine whether there is value in the diagnosis of different brain tumors and glioma classification.The fiber bundle tracking function of the DTI post-processing workstation was used to perform three-dimensional reconstruction of the white matter fiber bundles surrounding the lesion,and the relationship between tumors and white matter fiber bundles was observed.Results: 1.TBF(146.42 ± 33.63),TBF / contralateral CBF(3.716 ± 0.556),TBF / contralateral white matter CBF(4.614 ± 0.323),TBF / contralateral gray matter CBF(2.791 ± 0.179)in high-grade glioma group were higher than those in the low-grade glioma group(73.33 ± 32.54,1.771 ± 0.327,2.677 ± 0.781,1.184 ± 0.300),and the differences were statistically significant(P <0.05);but Compared with meningioma group(146.17 ± 40.00,4.070 ± 0.793,4.732 ± 1.080,2.843 ± 0.446)and metastatic tumor group(166.88 ± 26.09,4.100 ± 0.507,4.839 ± 0.653,2.892 ± 0.274),there was no statistical difference(P> 0.05).2.The FAmax value of the parenchymal area of the high-grade glioma group was(0.452 ± 0.084)higher than that of the low-grade glioma group(0.362 ± 0.110).The difference was statistically significant(P <0.05),but it was different from that of the meningiomas group.(0.495 ± 0.073)and metastatic tumor group(0.409 ± 0.055)showed no significant difference.The FAmean value and rFAmean value of the tumor parenchymal area in the low grade glioma group(0.201 ± 0.036,0.287 ± 0.055)and metastatic tumor group(0.177 ± 0.050,0.256 ± 0.064)were lower than those in the high grade glioma group(0.250 ± 0.018,0.376 ± 0.043),meningiomas group(0.268 ± 0.051,0.378 ± 0.070),the difference was statistically significant(P <0.05),while between the low-grade glioma group and the metastatic tumor group,the high-grade glioma group and the There was no significant difference between meningioma groups(P> 0.05).3.The ADCmin values in the parenchymal area of the high-grade glioma group(0.696 ± 0.069),meningiomas group(0.706 ± 0.053),and metastatic tumor group(0.715 ± 0.086)were lower than those in the low-grade glioma group(0.840 ± 0.061),the difference is statistically significant(P <0.05),there is no statistical difference between the high-grade glioma group,meningiomas group,and metastatic tumor group;the low-grade glioma group(1.315 ± 0.293,1.801 ± 0.569)The ADCmean value and r ADCmean value were higher than those in high-grade glioma group(1.143 ± 0.079,1.503 ± 0.088),meningiomas group(0.867 ± 0.096,1.172 ± 0.118),and metastatic tumor group(1.072 ± 0.198,1.422 ± 0.227).Among the glioma group,meningiomas group,and metastatic tumor group,the meningiomas group was lower than the high-grade glioma group and metastatic tumor group,and the difference was statistically significant(P <0.05).4.The meningiomas(0.167 ± 0.016)had higher FA values than the high-grade gliomas(0.134 ± 0.016)and metastatic tumors(0.129 ± 0.024).The difference was statistically significant(P <0.05).There was no statistically significant difference between tumors and metastatic tumors(P> 0.05);ADC values in edema areas between high-grade gliomas(1.575 ± 0.157),meningiomas(1.673 ± 0.189),and metastatic tumors(1.666 ± 0.129).No significant difference was found(P> 0.05).Conclusion 1.Quantitative parameters of DTI FA and ADC can accurately reflect the diffusion of water molecules in the diseased area from the micro level.DTI fiber bundle tracking technology can intuitively reflect the damage and infiltration of fiber bundles.The measurement of DTI quantitative parameters and fiber display Trace technology has certain application value in the diagnosis of common brain tumors and the classification of gliomas.2.3D-ASL is a new method for intracranial tumor perfusion imaging,which is safe and reliable.It can quantitatively reflect the perfusion level of intracranial tumor microcirculation without the use of contrast agents,which greatly reduces the risk of contrast agent injection and can be objective.It reflects the perfusion of brain tumors,the formation of microvessels in tumor tissues,and the degree of invasion.It has high application value in the diagnosis of common brain tumors and the classification of gliomas.3.The two methods of DTI and 3D-ASL reflect the microscopic condition of the tumor from two different aspects of molecular diffusion and blood flow perfusion.The two methods have complementary advantages.The combined use of the two methods can provide us with more comprehensive information about tumors.Improve the application value of common brain tumor diagnosis and glioma classification.
Keywords/Search Tags:Brain tumor, Glioma, Diffusion tensor imaging, Three-dimensional arterial spin-labeled imaging
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