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表观弥散系数值在鉴别胶质瘤复发与放射性脑损伤中的价值 被引量:10

Application Value of Apparent Diffusion Coefficient in Differentiation of Brain radiation-injuries and Glioma Recurrence
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摘要 目的分析表观弥散系数(ADC)值在鉴别脑胶质瘤复发与放射性脑损伤中的作用。方法采用3.0T磁共振扫描机,对23例脑胶质瘤术后放疗后的患者(随访中出现异常强化灶)行脑部常规MRI检查及弥散加权成像(DWI)检查,23例患者均经二次手术或随访证实为胶质瘤复发或放射性脑损伤。DWI原始数据采用Functool软件进行ADC值测量,感兴趣区(ROIs)放置在病灶中DWI信号均匀处,并参考增强T1WI以避开出血及液化坏死区。所选ROI的ADC值由Functool自动计算出,为了减少误差,在强化病灶内测量10处ADC值,得到平均值、最大值及最小值。结果胶质瘤复发及放射性脑损伤病灶中均常见出血、坏死、水肿等,导致ADC值具有较大差异。胶质瘤复发组平均ADC值及最大ADC值均小于放射性脑损伤组,但差异无统计学意义,而胶质瘤复发组最小ADC值明显小于放射性脑损伤组(P=0.016)。结论最小ADC值在鉴别胶质瘤复发与放射性脑损伤中有一定的意义。 Objective To evaluate application value of apparent diffusion coefficient (ADC) in di-fferentiating brain radiation-injuries and glioma recurrence. Methods Totally 23 patients [ 18 men and 5 women aged 32 to 67 years (mean: 47 years) ] with previously resected and irradiated glioma were examined by using a 3.0T MR Scanner, including conventional and diffusion weighted image (DWI) sequences. All the cases were proved by pathology or clinical follow-up. Postprocessing of ADC maps was performed by using Functool software ( AW 4.3, GE Healthcare), and the regions of interest (ROIs) were manually drawn onADC maps in the area corresponding to the contrast-enhancing area on post-contrast axial Tl-weighted images, avoiding the hemorrhage or necrosis. The ADC values were calculated automatically. ADC values were meas- ured 10 times in order to reduce errors, and mean ADC value, maximum ADC value, and minimum ADC value were acquired. Results Both recurrent glioma and irradiated necrosis tended to have hemorrhage, necrosis, and edema. The mean ADC value and maximum ADC value were lower in the recurrent tumor group than in the radiation-injuries group, but no statistical difference was achieved. However, the minimum ADC value was sig- nificantly lower in the recurrent tumor group than in the radiation-injuries group (P = 0. 016). Conclusion The minimum ADC value can be used as an useful tool in differentiating tumor recurrence from radiation-injuries.
出处 《中国医学科学院学报》 CAS CSCD 北大核心 2012年第4期396-400,共5页 Acta Academiae Medicinae Sinicae
关键词 弥散加权成像 磁共振成像 表观弥散系数 放射性脑损伤 胶质瘤复发 diffusion weighted imaging magnetic resonance imaging apparent diffusion coefficient radiation injuries glio-ma recurrence
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参考文献12

  • 1Rabinov JD,Lee PL,Barker FG,et al. In vivo 3-T MR spectroscopy in the distinction of recurrent glioma versus radiation effects: initial experience [J]. Radiology,2002,225(3):871-879.
  • 2Preul MC,Leblanc R,Caramanos Z,et al. Magnetic resonance spectroscopy guided brain tumor resection: differentiation between recurrent glioma and radiation change in two diagnostically difficult cases [J]. Can J Neurol Sci,1998,25(1):13-22.
  • 3Brunberg JA,Chenevert TL,McKeever PE,et al. In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres [J]. AJNR Am J Neuroradiol,1995,16(2):361-371.
  • 4Castillo M,Smith JK,Kwock L,et al. Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas [J]. AJNR Am J Neuroradiol,2001,21(1):60-64.
  • 5Tsui EY,Chan JH,Ramsey RG,et al. Late temporal lobe necrosis in patients with nasaopharyngeal carcinoma: evaluation with compbined multi-section diffusion weighted and perfusion weighted MR imaging [J]. Eur J Radiol,2001,39(3):133-138.
  • 6Sugahara T,Korogi Y,Kochi M,et al. Usefulness of diffusion weighted imaging with echo-planar technique in the evaluation of cellularity in gliomas [J]. J Magn Reson Imaging,1999,9(1):53-60.
  • 7Krabbe K,Gideon P,Wagn P,et al. MR diffusion imaging of human intracranial tumours [J]. Neuroradiology,1997,39(7):483-489.
  • 8Schaefer PW,Ozsunar Y,He J,et al. Assessing tissue viability with MR diffusion and perfusion imaging [J]. AJNR Am J Neuroradiol,2003,24(3):436-443.
  • 9Stadnik TW,Chaskis C,Michotte A,et al. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings [J]. AJNR Am J Neuroradiol,2001,22(5):969-976.
  • 10Chen ZY,Ma L,Lou X,et al. Diagnostic value of minimum apparent diffusion coefficient values in prediction of neuroepithelial tumor grading [J]. J Magn Reson Imaging,2010,31(6):1331-1338.

同被引文献86

  • 1朱妍,回树新,郝继山,焦德让.放射性脑损伤的诊断[J].中华神经医学杂志,2005,4(4):391-393. 被引量:5
  • 2邱幸生,陈龙华,陈永清.非小细胞肺癌脑转移低分割放疗疗效分析[J].第一军医大学学报,2005,25(11):1375-1378. 被引量:4
  • 3金晓,朱君明,陈书达,张卫华,郑劼,毛德旺,狄幸波,许励.3T多体素MRS在放射性脑损伤和胶质瘤复发鉴别诊断中的应用[J].中华神经外科杂志,2007,23(3):210-213. 被引量:10
  • 4Forsyth PA, Petrov E, Mahallati H, et al. Prospective study ofpostoperative magnetic resonance imaging in patients with malignantgliomas[J]. J Clin Oncol, 1997, 15(5): 2076-2081.
  • 5Albert FK,Forsting M, Sartor K, et al. Early postoperative magneticresonajice imaging after resection of malignant glioma: objectiveevaluation of residual tumor and its influence on regrowth andprognosis[J]. Neurosurgery, 1994,34(1): 45-60.
  • 6Jeffries, B.F, Kishore PR,Singh KS, et al. Contrast enhancement inthe postoperative brain[J]. Radiology, 1981, 139(2): 409-413.
  • 7Di Costanzo A, Soarabino T,Trojsi Fi,et al. Multiparametric 3T MRapproach to the assessment of cerebral gliomas: tumor extent andmalignancy[J]. Neuroradiology, 2006, 48(9): 622-631.
  • 8Arvinda HR, Kesavadas C, Sarma PS, et al. Glioma grading:sensitivity, specificity, positive and negative predictive values ofdiffusion and perfusion imaging[J]. J Neurooncol, 2009, 94(1): 87-96.
  • 9Simon D, Fritzsche KH, Thieke C, et al. Diffusion-weightedimaging-based probabilistic segmentation of high-and low-proliferative areas in high-grade gliomas[J]. Cancer Imaging, 2012,12: 89-99.
  • 10Server A, Kulle B, Gadmar 0B,et al. Measurements of diagnosticexamination performance using quantitative apparent diffusioncoefficient and proton MR spectroscopic imaging in the preoperativeevaluation of tumor grade in cerebral gliomas[J]. Eur J Radiol, 2011,80(2): 462-470.

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