期刊文献+

磁共振图像的纹理分析在儿童常见后颅窝肿瘤鉴别诊断中的应用 被引量:8

Utility of texture analysis of magnetic resonance imaging in differential diagnosis of common pediatric cerebellar tumors in children
原文传递
导出
摘要 目的通过对3种儿童常见后颅窝肿瘤的磁共振图像进行纹理分析,并用支持向量机(SVM)评价纹理特征。方法回顾性分析2008年5月至2015年8月郑州大学第一附属医院经手术病理证实的76例儿童后颅窝肿瘤,对提取的三种肿瘤的感兴趣区进行纹理分析。结果利用灰度共生矩阵提取出的5个纹理参数中至少有3个参数在上述两种不同类别的数据集之间具有统计学意义(P〈0.05),对于所有不同类别的数据集,ROI区域灰度值的方差参数均有统计学意义。室管膜瘤与髓母细胞瘤、室管膜瘤与星形细胞瘤、髓母细胞瘤与星形细胞瘤具有统计学差异特征的SVM测试准确率分别为86.15%±4.16%、73.63%±5.82%、74.32%±5.85%。结论纹理特征的分析可以提供更多量化信息特征,为儿童后颅窝肿瘤影像学的鉴别诊断提供了新的思路和方法。 Objective To analyze magnetic resonance images of the posterior cranial fossa tumors, and evaluate the texture characteristics of three kinds of children's posterior cranial fossa tumors by support vector machine (SVM). Methods From May 2008 to August 2015, a total of 76 patients with children's posterior cranial fossa tumors in First Affiliated Hospital of Zhengzhou University were retrospectively analyzed, texture analysis was performed on the three types of tumors. Results The 5 texture parameters extracted from the gray level co-occurrence matrix had at least 3 parameters which had statistically significant difference between the two different classes of data sets (P 〈0.05). For all kinds of data sets, the variance parameters of gray value of ROI region had statistically significant differences. The accuracy rate of SVM test in the remarkable difference of the ependymomas and medulloblastomas, the ependymomas and astrocytomas and the medulloblastomas and astrocytomas was 86.15% ± 4.16% , 73.63% ±5.82% and 74.32% ± 5.85%, respectively. Condusion The analysis of texture features can provide more quantitative information which could provide a new thought and method for the differential diagnosis of tumors in the posterior cranial fossa.
出处 《中华医学杂志》 CAS CSCD 北大核心 2016年第23期1853-1855,共3页 National Medical Journal of China
基金 基金项目:国家自然联合基金(52110953)
关键词 颅窝 脑肿瘤 磁共振成像 Cranial fossa, posterior Brain neoplasms Magnetic resonance imaging
  • 相关文献

参考文献9

  • 1Poretti A, Mended A, Huisman TA. Neuroimaging of pediatric posterior fossa tumors including review of the literature [ J ]. J Magn Reson Imaging,2012,35 ( 1 ) :32-47.
  • 2Fetit AE, Novak J, Peet AC, et al. Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain turnouts [ J ]. NMR Biomed, 2015,28 ( 9 ) : 1174- 1184.
  • 3Orphanidou-Vlachou E, Vlaehos N, Davies NP, et al. Texture analysis of T1 - and T2 -weighted MR images and use of probabilistic neural network to discriminate posterior fossa tumours in children[J ]. NMR Biomed, 2014,27 ( 6 ) : 6324539.
  • 4夏翃,刘卫芳,王旭,童隆正.阿尔茨海默病患者脑MR图像二维及三维纹理分析比较研究[J].北华大学学报(自然科学版),2013,14(5):553-556. 被引量:6
  • 5Mtiller KR, Mika S, Ritsch G, et al. An introduction to kernel- based learning algorithms[ J]. IEEE Trans Neural Netw,2001,12 ( 2 ) : 181-20.
  • 6Arai K,Sato N, Aoki J, et al. MR signal of the solid portion of pilocytic astrocytoma on T2-weighted images: is it useful for differentiation from medulloblastoma? [ J]. Neuroradiology,2006, 48(4) :233-237.
  • 7Jaremko JL,Jans LB, Coleman LT, et al. Value and limitations of diffusion-weighted imaging in grading and diagnosis of pediatric posterior fossa tumors [ J ]. AJNR Am J Neuroradio1,2010,31 (9) : 1613-1616.
  • 8Kassner A, Thornhill RE. Texture analysis : a review of neurologic MR imaging applications [ J ]. AJNR Am J Neuroradiol, 2010,31 ( 5 ) : 809-816.
  • 9Rodriguez Gutierrez D, Awwad A, Meijer L, et al. Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors [ J ]. AJNR Am J Neuroradiol, 2014,35 (5) : 1009-1015.

二级参考文献12

  • 1谢晟,武鸿坤,肖江喜,王荫华,蒋学祥.胼胝体压部FA值在轻度Alzheimer病中的诊断价值[J].实用放射学杂志,2006,22(9):1025-1027. 被引量:9
  • 2Elisa Canu, Federica Agosta, Edoardo G Spinelli, et al.White Matter Microstruetural Damage in Alzheimer's Disease at Different Ages of Onset [J]. Neurobiology of Aging, 2013. DOI-http://dx. doi. org/10. 1016/j. neurobiolaging. 2013.03. 026.
  • 3M S de Oliveira,M L F Bahhazar, A D Abreu, et al. MR Imaging Texture Analysis of' the Corpus Calinsum and Thalamus in Amnestic Mild Cognitive Impairment and Mild Alzheimer Disease [J]. AJNR,2011,32:60-66.
  • 4Castellano G, Bonilha L,Li I,M,et al. Texture Analysis of Medical hnages [ J ]. Clinical Radiology, 2004,59 ( 12 ) : 1061-1069.
  • 5J P Georgiadis, D Cavouras, I Kalatzis, et al. Enhancing the Discrimination Accuracy between Metastases,Gliomas and Meningiomas on Brain MR! by Volumetric Textural Feamres and Ensemble Pattern Recognition Methods [ J . Magnetic Resonance hnaging,2009,27:120-130.
  • 6E1-Baz A, Casanova M F, Gimelthrb (,, et al. Autism Diagnostics by 3D Texture Analysis of Cerebral White Matter Gyrification [J]. Med hnage Comput Assist Interv, 2007,10 ( 2 ) : 882-890.
  • 7Mahmoud-Ghoneima D,'lussaintb G, Constans J M, et al. Three Dimensional Texture Analysis in MRI: a Preliminary Evaluation in Gliomas [J]. Magnetic Resonance hnaging,2003,21:983-987.
  • 8Dong-Hui Xu,Arati S Kurani, J D Furst,et al. Run-length Encoding for Volumetric Texture [ C ]//Marbella : Proceedings of the 4th IASTED International Contrence on Visualization ,hnaging,and Image Processing,2004:6-8.
  • 9Wang P J,Saykin A J, Flashman L A. Regionally Specific Atrophy of the Corpus Callosum in AD, MCI and Cognitive Complaints [J] Neurobiology of Aging,2006, 27:1613-1617.
  • 10Margherita Di Paola, Eileen l.uders, Fulvia Di lulio, et al. Callosal Atrophy in Mild Cognitive Impairment and Alzheimer's Disease: Difren! Effe|s in Dit[eren| Stages [ J]. Neuro hnage ,2010,49 : 141-149.

共引文献5

同被引文献39

引证文献8

二级引证文献49

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