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• Clinical Article •
Correlation of microarchitecture and apparent diffusion coefficient value in astrocytoma
LIU Ying  ZENG Fei-yan  WANG Chang-xin  XU Yun-jun 

DOI:10.3969/j.issn.1674-8034.2011.01.012.


[Abstract] Objective: To analyze the difference of ADC in astrocytomas with different grade and the relationship between microarchitecture and ADC value using DWI at 3T.Materials and Methods: Seventeen patients with astrocytoma (including 5 I/II grade astrocytomas, 5 III grade astrocytomas and 8 IV grade astrocytomas) were examined. ADC of each case was obtained. Statistical analysis were performed using SPSS 11.0 package. One-Way ANOVA was used to analyze the difference of ADCs in different grade astrocytomas. Pearson correlations were calculated between ADC value and microarchitecture.Results: ADC tended to reduce from low- to high-grade astrocytomas and the differences between I/II grade and III or IV grade astrocytoma were significant. Significant correlations were revealed between ADC and MVD (r=-0.516, P=0.013) and ADC and cell density (r=-0.618, P=0.025).Conclusion: ADCs are different between low- and high-grade astrocytoma and can represent the microarchitecture in astrocytoma. DWI is helpful in preoperative grading of astrocytomas.
[Keywords] Astrocytoma；Apparent diffusion coefficient；Cell density；Microvessel density；Magnetic resonance imaging

LIU Ying* Department of MRI, Anhui Provincial Hospital, Hefei 230001, China

ZENG Fei-yan Department of MRI, Anhui Provincial Hospital, Hefei 230001, China

WANG Chang-xin Department of MRI, Anhui Provincial Hospital, Hefei 230001, China

XU Yun-jun Department of MRI, Anhui Provincial Hospital, Hefei 230001, China

*Correspondence to: Liu Y, E-mail: felice828@126.com

Conflicts of interest   None.

Received  2010-05-25
Accepted  2010-10-14
DOI: 10.3969/j.issn.1674-8034.2011.01.012
DOI:10.3969/j.issn.1674-8034.2011.01.012.

[1]
Wang W, Steward CE, Desmond PM. Diffusion tensor imaging in glioblastoma multiforme and brain metastases: The Role of p, q, L, and Fractional Anisotropy. AJNR Am J Neuroradiol, 2009, 30(1):203-208.
[2]
Mamata H, Jolesz FA, Maier SE. Characterization of central nervous system structures by magnetic resonance diffusion anisotropy. Neurochem Int, 2004, 45(4):553-560.
[3]
陈星荣，沈天真．学习2007年版WHO中枢神经系统肿瘤的病理分类．中国医学计算机成像杂志, 2009,15(3): 201-208.
[4]
Basser PJ, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B, 1994, 103(3):247-254.
[5]
刘影，张凯，李传福，等．星形细胞瘤各项异数分数值与其内部微结构的相关性分析．中华放射学杂志, 2007, 41(4): 355-357.
[6]
Hartmann M, Junkers R, Herold-Mende C, et al. Pseudonormalization of diffusion weighted images: magnetic resonance imaging in an animal model (C6-glioma). Rofo, 2005, 177(1):114-118.
[7]
Ryuji M, Takeshi S, Hideo N, et al. Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology, 2007, 243(5):493-499.
[8]
杨玲，胡春洪，郭亮，等．胶质瘤的扩散图像与微观病理状态的关系的研究．临床放射学杂志，2004,23(7):549-552.

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