体素内不相干运动扩散加权成像在颅内常见肿瘤中的应用研究
发布时间：2018-08-31 07:32
【摘要】：第一部分体素内不相干运动扩散加权成像在良性脑膜瘤中的初步研究研究目的： 应用多b值体素内不相干运动扩散加权磁共振成像(introvoxel incoherent motion MR imaging, IVIM MRI),探讨该序列生成的单、双指数模型在良性脑膜瘤中的应用价值。 研究方法： 搜集临床疑为良性脑膜瘤的患者60例,所有检查者均签署知情同意书,同意接受术前磁共振平扫、强化及多b值的IVIM序列扫描,本研究获得本机构伦理委员会批准,最终纳入22例手术病理证实为良性脑膜瘤的患者。扫描序列IVIM序列由14个b值组成(自0至1000s/mm2),扫描完成后得到的IVIM序列原始数据经后处理软件分析,分别拟合为单、双指数模型,并各自得到单、双指数模型衰减曲线,同时生成对应的参数图(单指数扩散系数ADC图、双指数扩散系数D图、灌注分数f图、灌注系数D*图)。在各自所得不同的参数图上结合平扫及强化图像,分别测量肿瘤实质区及正常脑白质的单指数模型的扩散系数ADC值以及双指数模型的扩散系数D值、灌注分数f值、灌注系数D*值,然后采用配对样本t检验,取a=0.05为检验水准进行统计学分析,以P0.05为差异有统计学意义。 结果： 22例病人颅内肿瘤病灶在各扫描序列均清晰显示,在IVIM序列所生产的各参数图中病变与正常脑组织分界清。肿瘤实质区的信号衰减在单、双指数模型衰减曲线上随b值的增大而减小。经所测得数据分析肿瘤实质区平均ADC值、平均D值、平均D*值、平均f值分别为(0.87±0.13)μm2/ms、(0.79±0.10)μm2/ms、(58.68±27.52)μm2/ms、(7.68±3.59)%；正常脑白质的平均ADC值、平均D值、平均D*值、平均f值分别为(0.74±0.06)μm2/ms、(0.69±0.04)μm2/ms、(93.43±31.64)μm2/ms、(4.48±2.39)%。经统计学分析,在单指数模型中的肿瘤实质区ADC值与正常脑白质ADC值两者比较差异有统计学意义(t=5.793,P0.05)；双指数模型中,肿瘤实质与正常脑白质D、f、D*值分别进行比较,其中肿瘤实质的D、f值较正常脑白质的D、f值增高(t=4.384,P0.05和t=3.349,P0.05)；在肿瘤实质D*值中,其较正常脑白质D*值减低(t=-3.559,P0.05),两者比较有统计学意义。肿瘤实质区单指数模型ADC值与双指数模型D值两者差异有统计学意义,且单指数模型ADC值显著高于双指数模型D值(t=6.492,P0.05)。 结论： 基于常规DWI序列的多b值IVIM双指数模型不仅可以定量描述良性脑膜瘤的扩散信息,有助于同正常脑实质相鉴别,且较单指数模型更准确；同时双指数模型可非侵入性地获得良性脑膜瘤的灌注信息,扩大了灌注技术的临床应用范围。 第二部分体素内不相干运动扩散加权成像在胶质瘤中的初步研究 研究目的： 应用多b值体素内不相干运动扩散加权磁共振成像(introvoxel incoherent motion MR imaging, IVIM MRI),探讨该序列生成的单、双指数模型在颅内胶质瘤中的应用价值。 研究方法： 搜集临床怀疑颅内胶质瘤的患者48例,所有检查者均签署知情同意书,且同意接受术前磁共振平扫、强化及多b值的IVIM序列扫描,研究获得本机构伦理委员会批准,最终纳入25例手术病理证实为颅内胶质瘤的患者。IVIM序列由14个b值构成(从0至1000s/mm2),扫描完成后所得IVIM序列原始数据经后处理软件处理分析,各自拟合为单、双指数模型,并分别得到单、双指数模型衰减曲线,同时生成相应的参数图(单指数扩散系数ADC图、双指数扩散系数D图、灌注分数f图、灌注系数D*图)。在各自所得不同的参数图上结合平扫及强化图像,分别测量肿瘤实质区及正常脑白质的单指数模型的扩散系数ADC值以及双指数模型中的扩散系数D值、灌注分数f值、灌注系数D*值,采用配对样本t检验,取a=0.05为检验水准进行统计学分析,以P0.05为差异有统计学意义。 结果： 25例病人颅内胶质瘤病灶在各扫描序列均清晰显示,在IVIM序列所生产的各参数图中病变可同正常脑组织相区分。单、双指数模型衰减曲线上肿瘤实质区信号强度随b值的增大而衰减。胶质瘤实质区平均ADC值、平均D值、平均D*值、平均f值分别为(1.13±0.36)μm2/ms,(1.07±0.27)μm2/ms,(69.60±45.57)μm2/ms口(5.80±3.81)%；对侧正常脑白质平均ADC值、平均D值、平均D*值、平均f值分别为(0.77±0.08)μm2/ms,(0.72±0.06)μm2/ms、(73.27±32.22)μm2/ms和(4.09±1.58)%。单指数模型中肿瘤实质区ADC值与正常脑白质ADC值两者比较差异有统计学意义(t=-6.165,P0.05),且肿瘤实质区的ADC值显著较正常脑白质区的ADC值升高；双指数模型中肿瘤实质D、f、D*值分别与对侧正常脑白质D、f、D*值进行比较,肿瘤实质的D、f值均较正常脑白质高(t=5.430,P0.05和t=2.312,P0.05),而肿瘤实质区D*值与对侧正常脑白质D*值相比,两者差异无统计学意义(P0.05)。 结论： 基于常规DWI序列的多b值IVIM双指数模型不仅可以很好描述颅内胶质瘤的扩散信息,有助于同正常脑白质相鉴别；同时IVIM的双指数模型可无创性的获得颅内胶质瘤的灌注信息,大大提高了灌注技术的在颅内胶质瘤患者中的临床应用范围。
[Abstract]:The first part is the preliminary study of intravoxel incoherent motion diffusion weighted imaging in benign meningiomas.
To investigate the application value of single and double exponential models generated by this sequence in benign meningiomas, the multi-b-value intravoxel incoherent motion-weighted magnetic resonance imaging (IVIM MRI) was used.
Research methods:
Sixty patients with clinically suspected benign meningiomas were enrolled in this study. All of them signed informed consent forms and agreed to undergo preoperative plain magnetic resonance imaging, enhanced and multi-b-value IVIM sequence scanning. This study was approved by the Ethics Committee of this institution, and eventually included 22 patients with pathologically proved benign meningiomas. The sequence of IVIM sequence was 14 B. Value composition (from 0 to 1000s/mm2), after scanning, the original IVIM sequence data were analyzed by post-processing software, and were fitted to single and double exponential models, and the attenuation curves of single and double exponential models were obtained respectively. At the same time, the corresponding parameter diagrams (single exponential diffusion coefficient ADC diagram, double exponential diffusion coefficient D diagram, perfusion fraction f diagram, perfusion coefficient D* The diffusion coefficient ADC values of the single-index model of tumor parenchyma and normal white matter, the diffusion coefficient D values of the double-index model, the perfusion fraction f values and the perfusion coefficient D* values were measured respectively on the parametric maps obtained by plain scan and contrast-enhanced images. Then the paired sample t-test was used and a=0.05 was taken as the test level for statistical analysis. The difference of P0.05 was statistically significant.
Result:
22 cases of intracranial tumor lesions were clearly displayed in each scan sequence. The lesions were clearly distinguished from normal brain tissue in the parametric maps produced by IVIM sequence. The signal attenuation of tumor parenchyma decreased with the increase of B value on the attenuation curve of single and double exponential model. The average values of D * and F * were (0.87.13) micron 2/ms, (0.79.10) micron 2/ms, (58.68.52) micron 2/ms, (7.68.59)% and (0.74.06) micron 2/ms, (0.69.04) micron 2/ms, (93.43 (31.64) micron 2/ms, (4.48.39)% respectively. The average values of ADC, D, D, and F 6550 The ADC values of tumor parenchyma and normal white matter were significantly different (t = 5.793, P 0.05); the D, f, D * values of tumor parenchyma and normal white matter were compared in double index model, in which the D, F values of tumor parenchyma were higher than those of normal white matter (t = 4.384, P 0.05 and T = 3.349, P 0.05); the D * values of tumor parenchyma were higher than those of normal white matter (t = 4.384, P 0.05 and T = 3.349, P 0.05). The D * value of normal white matter decreased (t = - 3.559, P 0.05), and the difference was statistically significant. The ADC value of single index model and double index model in tumor parenchyma was statistically significant, and the ADC value of single index model was significantly higher than that of double index model (t = 6.492, P 0.05).
Conclusion:
The multi-b-value IVIM bi-exponential model based on conventional DWI sequence can not only quantitatively describe the diffusion information of benign meningiomas, but also help to differentiate benign meningiomas from normal brain parenchyma, and is more accurate than the single-exponential model.
The second part of voxel incoherent motion diffusion weighted imaging in gliomas: a preliminary study
Research purposes:
To investigate the application value of single and double exponential models of intracranial gliomas produced by this sequence, we applied multi-b-value intravoxel incoherent motion-weighted magnetic resonance imaging (IVIM MRI).
Research methods:
A total of 48 patients with clinically suspected intracranial gliomas were enrolled in the study. All the examiners signed informed consents and agreed to undergo preoperative plain magnetic resonance imaging, enhanced and multi-b-value IVIM sequence scanning. The study was approved by the Ethics Committee of the Institute and eventually included 25 patients with pathologically confirmed intracranial gliomas. From 0 to 1000s/mm2, the original data of IVIM sequence after scanning were processed and analyzed by post-processing software. The decay curves of single-exponential and double-exponential models were fitted respectively, and the corresponding parameter diagrams (single-exponential diffusion coefficient ADC diagram, double-exponential diffusion coefficient D diagram, perfusion fraction f diagram, perfusion coefficient D* diagram) were generated. The ADC values of the single-index model of tumor parenchyma and normal white matter, the D values of perfusion fraction f and D * values of the double-index model were measured respectively from the obtained parametric maps with plain and enhanced images. The paired sample t test was used and a=0.05 was taken as the test level for statistical analysis. The P 0. 05, the difference was statistically significant.
Result:
The intracranial glioma lesions of 25 patients were clearly displayed in each scan sequence, and the lesions could be distinguished from normal brain tissues in the parametric maps produced by IVIM sequence. The signal intensity of the tumor parenchyma decreased with the increase of B value on the attenuation curve of single and double exponential model. The average ADC value, D value and D * value of the contralateral normal white matter were (1.13 +0.36) micron 2/ms, (1.07 +0.27) micron 2/ms, (69.60 +45.57) micron 2/ms, (5.80 +3.81)% and (0.77 +0.08) micron 2/ms, (0.72 +0.06) micron 2/ms, (73.27 +32.22) micron 2/ms and (4.09 +1.58)% respectively. The ADC values of tumor parenchyma were significantly higher than those of normal white matter (t = - 6.165, P 0.05), and the D, f, D * values of tumor parenchyma were significantly higher than those of normal white matter (t = 5.430, P 0.05 and T = 2.312, P 0.05). However, there was no significant difference between the D* value of tumor parenchyma and the D* value of contralateral normal white matter (P0.05).
Conclusion:
The multi-b-value IVIM bi-exponential model based on conventional DWI sequence can not only describe the diffusion information of intracranial gliomas, but also help to differentiate them from normal white matter. At the same time, the bi-exponential model of IVIM can obtain the perfusion information of intracranial gliomas noninvasively, which greatly improves the clinical application of perfusion technology in patients with intracranial gliomas. Circumference.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R739.41
本文编号：2214313
[Abstract]:The first part is the preliminary study of intravoxel incoherent motion diffusion weighted imaging in benign meningiomas.
To investigate the application value of single and double exponential models generated by this sequence in benign meningiomas, the multi-b-value intravoxel incoherent motion-weighted magnetic resonance imaging (IVIM MRI) was used.
Research methods:
Sixty patients with clinically suspected benign meningiomas were enrolled in this study. All of them signed informed consent forms and agreed to undergo preoperative plain magnetic resonance imaging, enhanced and multi-b-value IVIM sequence scanning. This study was approved by the Ethics Committee of this institution, and eventually included 22 patients with pathologically proved benign meningiomas. The sequence of IVIM sequence was 14 B. Value composition (from 0 to 1000s/mm2), after scanning, the original IVIM sequence data were analyzed by post-processing software, and were fitted to single and double exponential models, and the attenuation curves of single and double exponential models were obtained respectively. At the same time, the corresponding parameter diagrams (single exponential diffusion coefficient ADC diagram, double exponential diffusion coefficient D diagram, perfusion fraction f diagram, perfusion coefficient D* The diffusion coefficient ADC values of the single-index model of tumor parenchyma and normal white matter, the diffusion coefficient D values of the double-index model, the perfusion fraction f values and the perfusion coefficient D* values were measured respectively on the parametric maps obtained by plain scan and contrast-enhanced images. Then the paired sample t-test was used and a=0.05 was taken as the test level for statistical analysis. The difference of P0.05 was statistically significant.
Result:
22 cases of intracranial tumor lesions were clearly displayed in each scan sequence. The lesions were clearly distinguished from normal brain tissue in the parametric maps produced by IVIM sequence. The signal attenuation of tumor parenchyma decreased with the increase of B value on the attenuation curve of single and double exponential model. The average values of D * and F * were (0.87.13) micron 2/ms, (0.79.10) micron 2/ms, (58.68.52) micron 2/ms, (7.68.59)% and (0.74.06) micron 2/ms, (0.69.04) micron 2/ms, (93.43 (31.64) micron 2/ms, (4.48.39)% respectively. The average values of ADC, D, D, and F 6550 The ADC values of tumor parenchyma and normal white matter were significantly different (t = 5.793, P 0.05); the D, f, D * values of tumor parenchyma and normal white matter were compared in double index model, in which the D, F values of tumor parenchyma were higher than those of normal white matter (t = 4.384, P 0.05 and T = 3.349, P 0.05); the D * values of tumor parenchyma were higher than those of normal white matter (t = 4.384, P 0.05 and T = 3.349, P 0.05). The D * value of normal white matter decreased (t = - 3.559, P 0.05), and the difference was statistically significant. The ADC value of single index model and double index model in tumor parenchyma was statistically significant, and the ADC value of single index model was significantly higher than that of double index model (t = 6.492, P 0.05).
Conclusion:
The multi-b-value IVIM bi-exponential model based on conventional DWI sequence can not only quantitatively describe the diffusion information of benign meningiomas, but also help to differentiate benign meningiomas from normal brain parenchyma, and is more accurate than the single-exponential model.
The second part of voxel incoherent motion diffusion weighted imaging in gliomas: a preliminary study
Research purposes:
To investigate the application value of single and double exponential models of intracranial gliomas produced by this sequence, we applied multi-b-value intravoxel incoherent motion-weighted magnetic resonance imaging (IVIM MRI).
Research methods:
A total of 48 patients with clinically suspected intracranial gliomas were enrolled in the study. All the examiners signed informed consents and agreed to undergo preoperative plain magnetic resonance imaging, enhanced and multi-b-value IVIM sequence scanning. The study was approved by the Ethics Committee of the Institute and eventually included 25 patients with pathologically confirmed intracranial gliomas. From 0 to 1000s/mm2, the original data of IVIM sequence after scanning were processed and analyzed by post-processing software. The decay curves of single-exponential and double-exponential models were fitted respectively, and the corresponding parameter diagrams (single-exponential diffusion coefficient ADC diagram, double-exponential diffusion coefficient D diagram, perfusion fraction f diagram, perfusion coefficient D* diagram) were generated. The ADC values of the single-index model of tumor parenchyma and normal white matter, the D values of perfusion fraction f and D * values of the double-index model were measured respectively from the obtained parametric maps with plain and enhanced images. The paired sample t test was used and a=0.05 was taken as the test level for statistical analysis. The P 0. 05, the difference was statistically significant.
Result:
The intracranial glioma lesions of 25 patients were clearly displayed in each scan sequence, and the lesions could be distinguished from normal brain tissues in the parametric maps produced by IVIM sequence. The signal intensity of the tumor parenchyma decreased with the increase of B value on the attenuation curve of single and double exponential model. The average ADC value, D value and D * value of the contralateral normal white matter were (1.13 +0.36) micron 2/ms, (1.07 +0.27) micron 2/ms, (69.60 +45.57) micron 2/ms, (5.80 +3.81)% and (0.77 +0.08) micron 2/ms, (0.72 +0.06) micron 2/ms, (73.27 +32.22) micron 2/ms and (4.09 +1.58)% respectively. The ADC values of tumor parenchyma were significantly higher than those of normal white matter (t = - 6.165, P 0.05), and the D, f, D * values of tumor parenchyma were significantly higher than those of normal white matter (t = 5.430, P 0.05 and T = 2.312, P 0.05). However, there was no significant difference between the D* value of tumor parenchyma and the D* value of contralateral normal white matter (P0.05).
Conclusion:
The multi-b-value IVIM bi-exponential model based on conventional DWI sequence can not only describe the diffusion information of intracranial gliomas, but also help to differentiate them from normal white matter. At the same time, the bi-exponential model of IVIM can obtain the perfusion information of intracranial gliomas noninvasively, which greatly improves the clinical application of perfusion technology in patients with intracranial gliomas. Circumference.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R739.41
【参考文献】
相关期刊论文 前6条
1 李玉华;陆建平;段秀杰;张忠阳;;多b值DWI在儿童脑肿瘤中的初步研究[J];放射学实践;2012年02期
2 尹丹;邓利猛;王小宜;廖伟华;周建华;陈晨;;ADC值术前评价脑膜瘤病理级别的研究[J];临床放射学杂志;2006年06期
3 李茂;邓德茂;黄志碧;梁漱溟;;ADC值与rADC值诊断脑肿瘤的应用价值[J];临床放射学杂志;2008年09期
4 钱银锋,余永强,陈骏,郑斐群,张诚,柏亚,李旋,吴津民;MR灌注成像对星形胶质细胞瘤肿瘤血管通透性的评价研究[J];中华放射学杂志;2002年08期
5 施裕新,徐剑峰,池鸣鸣;CT灌注成像对脑膜瘤血流灌注的定量研究[J];中华放射学杂志;2004年12期
6 Petra G Kele;Eric J van der Jagt;;Diffusion weighted imaging in the liver[J];World Journal of Gastroenterology;2010年13期
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