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Enhancement of MRI histogram in the identification of children with medulloblastoma and ependymoma |
WANG Wei-jian, CHENG Jing-liang, ZHANG Yong, GUO Ya-fei |
Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China |
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Abstract Objective: To investigate the diagnostic value of the histogram analysis derived from enhancement MR imaging in differentiating medulloblastomas from ependymoma. Methods and Materials: Retrospective analysis of pathologically confirmed 36 cases of posterior fossa tumors, including 20 cases of medulloblastoma, 16 cases of ependymoma, were performed. T1, T2 and enhanced T1 weighted magnetic resonance images were collected, tumor region of interest were extracted by the software of MaZda(region of interest, ROI), histogram analysis for the maximum level of tumor region of interest was undergone, the average value, variance, skewness, kurtosis, the 1, 10, 50, 90, 99 percentile characteristics were selected to find out the significant differences between the two kinds of tumors. Result: 9 texture parameters from histogram were with statistical significance(1 percent), and in the C1 ROC curve, the maximum area under ROC curve is 0.82, 46.5 as cut-off value specificity and sensitivity were 82% and 75%. Conclusion: Histogram analysis can provide more quantitative information characteristics, which provides a new method for the differential diagnosis of children with medulloblastoma and ependymoma.
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Received: 20 July 2017
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[1]Heijmen L, Verstappen MC, Ter Voert EE, et al. Tumour response prediction by diffusion-weighted MR imaging: ready for clinical use?[J]. Crit Rev Oncol Hematol, 2012, 83(2): 194-207.
[2]Erdem E, Zimmerman RA, Haselgrove JC, et al. Diffusion-weighted imaging and fluid attenuated inversion recovery imaging in the evaluation of primitive neuroectodermal tumors[J]. Neuroradiology, 2001, 43(11): 927-933.
[3]Yamasaki F, Kurisu K, Satoh K, et al. Apparent diffusion coefficient of human brain tumors at MR imaging[J]. Radiology, 2005, 235(3): 985-991.
[4]Schneider JF, Confort-Gouny S, Viola A, et al. Multiparametric differentiation of posterior fossa tumors in children using diffusion-weighted imaging and short echo-time 1H-MR spectroscopy[J]. J Magn Reson Imaging, 2007, 26(6): 1390-1398.
[5]Rumboldt Z, Camacho DL, Lake D, et al. Apparent diffusion coefficients for differentiation of cerebellar tumors in children[J]. Am J Neuroradiol, 2006, 27(6): 1362-1369.
[6]林帆,李扬彬. 表观扩散系数在诊断小脑原发肿瘤的应用价值[J]. 中国临床医学影像杂志,2008,19(5):315-318.
[7]卜春晓,张勇,程敬亮,等. ADC值在儿童常见小脑肿瘤鉴别诊断中的应用[J]. 实用放射学杂志,2015,31(6):998-1001.
[8]Bull JG, Saunders DE, Clark CA. Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms[J]. Eur Radiol, 2012, 22(2): 447-457.
[9]陈鑫,魏新华,杨蕊梦,等. 常规MRI纹理分析鉴别脑胶质母细胞瘤和单发转移瘤的价值[J]. 中华放射学杂志,2016,50(3):186-190.
[10]金观桥,苏丹柯,罗殿中,等. 表观扩散系数直方图预测局部晚期乳腺癌患者新辅助化疗疗效的价值[J]. 中华放射学杂志,2015,49(7):491-494.
[11]林宇宁,李辉,陈自谦,等. 采用MR扩散加权成像表观扩散系数值直方图诊断ⅠB期宫颈癌的价值[J]. 中华放射学杂志,2015,49(5):349-353.
[12]王君鑫,赵文露,杨毅,等. 动态增强MRI三维定量参数直方图诊断前列腺癌的价值[J]. 中华放射学杂志,2016,50(8):609-614.
[13]Rodriguez Gutierrez D, Awwad A, Meijer L, et al. Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors[J]. Am J Neuroradiol, 2014, 35(5): 1009-1015. |
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