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中华神经创伤外科电子杂志 ›› 2016, Vol. 02 ›› Issue (04) : 231 -234. doi: 10.3877/cma.j.issn.2095-9141.2016.04.010

所属专题: 文献

专题笔谈

弥散张量成像在意识障碍诊断中的应用
杨艺1, 吴月奎1, 夏小雨1, 张昊驹1, 尹霄霄1, 何江弘1,(), 戴宜武1, 徐如祥1   
  1. 1. 100700 北京,陆军总医院附属八一脑科医院
  • 收稿日期:2016-02-28 出版日期:2016-08-15
  • 通信作者: 何江弘

Diffusion tensor imaging in the diagnosis of disorder of consciousness

Yi Yang1, Yuekui Wu1, Xiaoyu Xia1, haoju Zhang1, Xiaoxiao Yi1, Jianghong He1,(), Yiwu Dai1, Ruxiang Xu1   

  1. 1. The Affiliated Bayi Brain Hospital, PLA Army General Hospital, Beijing 100700, China
  • Received:2016-02-28 Published:2016-08-15
  • Corresponding author: Jianghong He
  • About author:
    Corresponding author: He Jianghong, Email:
引用本文:

杨艺, 吴月奎, 夏小雨, 张昊驹, 尹霄霄, 何江弘, 戴宜武, 徐如祥. 弥散张量成像在意识障碍诊断中的应用[J]. 中华神经创伤外科电子杂志, 2016, 02(04): 231-234.

Yi Yang, Yuekui Wu, Xiaoyu Xia, haoju Zhang, Xiaoxiao Yi, Jianghong He, Yiwu Dai, Ruxiang Xu. Diffusion tensor imaging in the diagnosis of disorder of consciousness[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2016, 02(04): 231-234.

弥散张量成像(DTI)是一种非侵袭性的核磁成像技术,能够识别传统CT和MRI难以发现的脑微观结构改变,特别是神经纤维束变化和方向,目前DTI已成熟地应用于基础实验和临床研究中,能为严重脑损伤患者发现物标志物并且预测预后提供参考,DTI也在意识障碍的诊断和预后预测领域进行了很多探索研究。

Diffusion tensor imaging (DTI) is a kind of noninvasive MRI, to identify the traditional CT and MRI finding of cerebral microstructure change, especially the nerve fiber bundles and direction change, at present, the DTI has applied in basic experiment and clinical study, for patients with severe brain injury finding markers and provide reference for predicting prognosis, DTI is also in the field of consciousness disorder diagnosis and prognosis prediction for a lot of exploration research.

图1 弥散张量成像神经纤维束成像
图2 各向异性分数值预测意识障碍患者不良预后
图3 昏迷患者与正常对照组丘脑皮质连接和经胼胝体连接
图4 与健康对照组相比,意识障碍患者多个默认网络区各向异性分数值下降
[1]
Gerdes,JS,Walther EU,Jaganjac S, et al. Early detection of wide spread progressive brain injury after cardiac arrest: a single case DTI and post-mortem histology study[J]. PloS ONE, 2014, 9(3): e92103.
[2]
Edlow BL,Haynes RL,Takahashi E, et al. Disconnection of the ascending arousal system in traumatic coma[J]. J Neuropathol Exp Neurol, 2013, 72(6): 505-523.
[3]
Arfanakis K,Haughton VM.Carew JD, et al. Diffusion tensor MR imaging in diffuse axonal injury[J]. AJNR Am J Neuroradiol, 2002, 23(5): 794-802.
[4]
Dell’Acqua F,Catani M. Structural human brain networks: hot topics in diffusion tractography[J]. Curr Opin Neurol, 2012, 25(4): 375-383.
[5]
Bruno MA,Majerus S,Boly M, et al. Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients[J]. J Neurol, 2012, 259(6): 1087-1098.
[6]
Cercignani M,Bozzali M,Iannucci G, et al. Magnetisation transfer ratio and mean diffusivity of normal appearing white and grey matter from patients with multiple sclerosis[J]. J Neurol Neurosurg Psychiatry, 2001,70(3): 311-317.
[7]
Dell’Acqua F,Simmons A,Williams SC, et al. Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion[J]. Hum Brain Mapp, 2013, 34(10): 2464-2483.
[8]
Dinkel J,Drier A,Khalilzadeh O, et al. Long-Term white matter changes after severe traumatic brain injury: a 5-year prospective cohort[J]. AJNR Am J Neuroradiol, 2014, 35(1): 23-29.
[9]
Fernández-Espejo D,Bekinschtein T,Monti MM et al. Diffusion weighted imaging distinguishes the vegetative state from the minimally conscious state[J]. Neuroimage, 2011, 54(1): 103-112.
[10]
Newcombe V,Chatfield D,Outtrim J, et al. Mapping traumatic axonal injury using diffusion tensor imaging: correlations with functional outcome[J]. PloS ONE, 2011, 6(5): e19214.
[11]
Perlbarg V,Puybasset L,Tollard E, et al. Relation between brain lesion location and clinical outcome in patients with severe traumatic brain injury: a diffusion tensor imaging study using voxel-based approaches[J]. Hum Brain Mapp, 2009, 30(12): 3924-3933.
[12]
Okada T,Miki Y,Fushimi Y, et al. Diffusion-tensor fiber tractography: intraindividual comparison of 3.0-T and 1.5-T MR imaging[J]. Radiology, 2006, 238(2): 668-678.
[13]
Lin CP,Wedeen VJ,Chen JH, et al. Validation of diffusion spectrum magnetic resonance imaging with manganese-enhance drat optic tract sand ex vivo phantoms[J]. Neuroimage, 2003, 19(3): 482-495.
[14]
Soddu A,Vanhaudenhuyse A,Demertzi A, et al. Resting state activity in patients with disorders of consciousness[J]. funct Neurol, 2011, 26(1): 37-43.
[15]
Wang JW,Bakhadirov K,Devous MD Sr, et al. Diffusion tensor tractography of traumatic diffuse axonal injury[J]. Arch Neurol, 2008, 65(5): 619-626.
[16]
Smith SM,Jenkinson M,Johansen-Berg H, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data[J]. Neuroimage, 2006, 31(4): 1487-1505.
[17]
Tshibanda L,Vanhaudenhuyse A,Galanaud D, et al. Magnetic resonance spectroscopy and diffusion tensor imaging in coma survivors: promises and pitfalls[J]. Prog Brain Res, 2009, 177: 215-229.
[18]
Fernández-Espejo D,Junque C,Cruse D, et al. A role for the default mode network in the bases of disorders of consciousness[J]. Ann Neurol, 2012, 72(3): 335-343.
[19]
Filler AG. The history development and impact of computed imaging in neurological diagnosis and neurosurgery: CT, MRI, and DTI[J]. Nat Proc, 2009, 7(1): 69.
[20]
Wu O,Batista LM,Lima FO, et al. Predicting clinical outcome in comatose cardiac arrest patients using early noncontrast computed tomography[J]. Stroke, 2011, 42(4): 985-992.
[21]
Luyt CE,Galanaud D,Perlbarg V, et al. Diffusion tensor imaging to predict long-term outcome after cardiac arrest: a bicentric pilots tudy[J]. Anesthesiology, 2014, 117(6): 1311-1321.
[22]
Grossi D,Soricelli A,Ponari M, et al. Structural connectivity in a single case of progressive prosopagnosia: the role of the right inferior longitudinal fasciculus[J]. Cortex, 2012, 56: 111-120.
[23]
Hess CP,Mukherjee P,Han ET, et al. Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis[J]. Magn Reson Med, 2006, 56(1): 104-117.
[24]
Huisman TA,Schwamm LH,Schaefer PW, et al. Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury[J]. AJNR Am J Neuroradiol, 2004, 25(3): 370-376.
[25]
Hulkower MB,Poliak DB,Rosenbaum SB, et al. A decade of DTI intraumatic brain injury: 10 years and 100 articles later[J]. AJNR Am J Neuroradiol, 2013, 34(11): 2064-2074.
[26]
Jang SH,Kim SH,Lim HW, et al. Injury of the lower ascending reticular activating system in patients with hypoxic-ischemic brain injury: diffusion tensor imaging study[J]. Neuroradiology, 2014, 56(11): 965-970.
[27]
Jones DK,Knösche TR,Turner R. White matter integrity, fiber count, and other fallacies: the do’s and don’ts of diffusion MRI[J]. Neuroimage, 2013, 73: 239-254.
[28]
Jones DK,Simmons A,Williams S, et al. Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI[J]. Magn Reson Med, 2000, 42(1): 37-41.
[29]
Kraus MF,Susmaras T,Caughlin BP, et al. White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study[J]. Brain, 2007, 130(Pt 10): 2508-2519.
[30]
LeBihan D,Poupon C,Amadon A, et al. Artifacts and pitfalls in diffusion MRI[J]. J Magn Reson Imaging, 2006, 24(3): 478-488.
[31]
McNab JA,Edlow BL,Witzel T, et al. The human connectome project and beyond: initial applications of 300 mT/m gradients[J]. Neuroimage, 2013, 80: 234-245.
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