期刊文献+

扩散张量成像对脑脓肿与坏死囊变性胶质瘤的鉴别诊断价值 被引量:3

The Differential Diagnosis of Brain Abscess and Necrotic Cystic Glioma with DTI
下载PDF
导出
摘要 目的探讨磁共振扩散张量成像(DTI)对脑脓肿与坏死囊变性胶质瘤的鉴别诊断价值。资料与方法回顾性分析2例经手术病理、3例经临床复查证实的脑脓肿和10例经手术病理证实的坏死囊变性胶质瘤。所有病例均行常规MR平扫、增强及DTI检查。构建表观扩散系数(ADC)图和各向异性分数(FA)图。测量病灶的坏死囊变区及其周围水肿区的ADC和FA值,计算其平均值,并行组间统计学分析。结果脑脓肿脓腔扩散加权图像(DWI)表现为高信号者4例,低信号1例;胶质瘤坏死囊变区DWI表现为高信号者1例,混杂信号1例,低信号8例。脓腔、胶质瘤坏死囊变区ADC平均值分别为(0.79±0.11)×10-3mm2/s、(2.38±0.28)×10-3mm2/s,二者之间ADC值差异有统计学意义(t=6.45,P<0.01)。胶质瘤与脑脓肿周围水肿区ADC值分别为(1.65±0.13)×10-3mm2/s、(1.94±0.17)×10-3mm2/s,二者之间差异有统计学意义(t=1.98,P<0.05)。在FA图上,脓腔、胶质瘤坏死囊变区均表现为低信号,FA值分别为0.17±0.06、0.11±0.03,二者差异有统计学意义(t=2.42,P<0.05),二者周围水肿区FA值分别为0.21±0.04、0.19±0.08,二者之间差异无统计学意义(t=1.13,P>0.05)。结论DTI通过构建DWI图、ADC图和FA图能有效反映脓肿与坏死囊变性胶质瘤的不同液态性质。绝大多数脑脓肿的脓腔在DWI图上表现为高信号,ADC图上为低信号,而胶质瘤坏死囊变区则与之相反;脑脓肿周围水肿ADC值高于胶质瘤瘤周水肿。DTI对脑脓肿与坏死囊变性胶质瘤的鉴别诊断具有重要价值。 Objective To evaluate the value of diffusion tensor imaging (DTI) in differential diagnosis of brain abscess and necrotic cystic gliomas. Materials and Methods 5 brain abscesses, 10 gliomas confirmed clinically or pathologically underwent conventional MRI and DTI. Average diffusion coefficient(ADC) value, fractional anisotropy(FA) value and maps were measured in the portion and surrounding edema regions, then statistical analysis was made. Result On the DWI maps, 4 cases of brain abscesses showed hypefintensity signal, 1 cases showed hypointensity; 1 case of glioma displayed hypefintensity signal, 1 case showed mixed signal, 8 cases showed hypointensity signal. Significant differences of ADC value ( t = 6.45, P 〈 0.01 ) were found in the portion between abscess [ (0.79 ± 0. 11 ) ×10^-3mm^2/s ] and glioma [ (2.38 ±0.28) ×10^-3mm^2/s]. Significant differences ofADC value(t =2. 42,P 〈0.05) were also found in surrounding edema regions between abscess[ ( 1.65 ± 0.13) ×10^-3mm^2/s] and glioma[ ( 1.94 ± 0. 17) ×10^-3mm^2/s]. On FA maps, the portion of them displayed hypointensity. Significant differences of FA value ( t = 1.98 ,P 〈 0.05 ) were found in necrotic regions between abscess (0. 17 ± 0.06 ) and glioma (0.11 ± 0.03 ). No significant differences of FA value ( t = 1.13, P 〉0.05) were found in the surrounding edema between abscess (0.21 ± 0.04) and glioma (0. 19 ± 0.08 ). Conclusion DTI can reflect efficiently the character of the liquid state between brain abscess and necrotic cystic glioma. Most of abscess display hypefintensity signal on DWI and hypointensity signal on ADC map, but it is opposite in glioma; The ADC value of edema in abscess is higher than that of glioma. DTI has significant diagnostic value between brain abscess and necrotic cystic glioma.
出处 《临床放射学杂志》 CSCD 北大核心 2007年第12期1185-1188,共4页 Journal of Clinical Radiology
关键词 扩散张量成像 脑脓肿 胶质瘤 鉴别诊断 Diffusion tensor imaging Brain abscess Glioma Differential diagnosis
  • 相关文献

参考文献1

二级参考文献14

  • 1Gauvain KM, Mckinstry RC, Mukherjee P, et al. Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging[J]. AJR, 2001, 177(2): 449-454.
  • 2Wieshmann UC, Symms MR, Parker GJ, et al. Diffusion tensor imaging demonstrates deviation of fibers in normal appearing white matter adjacent to a brain tumour [J]. J Neurol Neurosurg Psychiatry, 2000, 68(4): 501-503.
  • 3Mori S, Frederiksen K, van Ziji PC, et al. Brain white matter anatomy of tumor patients evaluated with diffusion tensor imaging[J]. Ann Neurol, 2002, 51(3): 377-380.
  • 4Pierpaoli C, Jezzard P, Basser PJ, et al. Diffusion tensor MR Imaging of the human brain [J]. Radiology, 1996, 201(3):637-648.
  • 5Basser PJ, Mattiello J, Le Bihan D. MR Diffusion tensor spectmscopyand imaging[J]. BiophysJ, 1994, 66(1):259-267.
  • 6Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI [J]. J Magn Reson B, 1996, 111 (3): 209-219.
  • 7Tien RD, Felsberg GJ, Friedman H, et al. MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences [J]. AIR, 1994, 162(3):671-677.
  • 8Castillo M, Smith JK, Kwock L, et al. Apparent diffusion coefficients in the evaluation of high-grade cereral gliomas [J].AJNR, 2002, 22 (1): 60-64.
  • 9Kono K, Inoue Y, Nakayama K, et al. The role of diffusion-weighted imaging in patients with brain tumors [J].AJNR, 2001, 22(6): 1081-1088.
  • 10Lam WW, Poon WS, Metreweli C. Diffusion MR imaging in glioma: does it have any role in the pre-operation determination ofgrading of gliomas? [J]. Clin Radiol, 2002, 57(3): 219-225.

共引文献22

同被引文献31

  • 1程敬亮,吕涵青,杨运俊,张勇.磁共振扩散加权成像在早期脑梗死中的临床应用评价[J].河南大学学报(医学版),2005,24(1):6-8. 被引量:5
  • 2Bulakbasi N, Kocaogiu M, Ors F, et al. Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors[ J].AJNR Am J Neuroradiol, 2003, 24(2) : 225 -233.
  • 3Yang D, Korogi Y, Sugahara T, et al. Cerebral gliomas: prospective comparison of muhivoxel 2D chemical-shift imaging proton MR spectroscopy, echop]anar perfusion and diffusion-weighted MRI[ J]. Neuroradiology, 2002, 44 ( 8 ) : 656 - 666.
  • 4Law M, Yang S, Wang H, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging [ J ]. AJNR Am J Neuroradiol, 2003, 24(10) : 1989 -1998.
  • 5Di-Costanzo A, Scarabino T, Trojsi F, et al. Multiparametric 3T MR approach to the assessment of cerebral gliomas : tumor extent and malignancy[J]. Neuroradiology, 2006, 48(9) : 622 -631.
  • 6Bartha R, Megyesi J F, Wafting C J. Low-grade glioma: correlation of short echo time ^1H-MR spectroscopy with 23Na MR imaging [ J]. AJNR Am J Neuroradiol, 2008, 29 (3) : 464 -470.
  • 7Hoiodny A I, Ollenschlager M. Diffusion imaging in brain tumors[ J]. Neuroimaging Clin N Am, 2002, 12(1 ) : 107 -124, x.
  • 8Stadlbauer A, Ganslandt O, Buslei R, et al. Gliomas: histopathologic evaluation of changes in directionality and magnitude of water diffusion at diffusion-tensor MR imaging[J]. Radiology, 2006, 240(3) : 803 -810.
  • 9Inoue T, Ogasawara K, Beppu T, et al. Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas [ J ]. Clin Neurol Neurosurg, 2005, 107(3) : 174 - 180.
  • 10Moli N, Miki Y, Fushimi Y,et al. Cerebral infarction associated with moyamoya disease: histogram-based quantitative analysis of diffusion tensor imaging--a preliminary study[ J]. Magn Reson hnaging, 2008, 26 ( 6 ) : 835 - 840.

引证文献3

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部