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FLAIR 信号及纹理分析在外侧间脑癫痫中的应用。

FLAIR signal and texture analysis for lateralizing mesial temporal lobe epilepsy.

机构信息

Department of Diagnostic Radiology, Henry Ford Hospital, Detroit, MI 48202, USA.

出版信息

Neuroimage. 2010 Jan 15;49(2):1559-71. doi: 10.1016/j.neuroimage.2009.08.064. Epub 2009 Sep 8.

Abstract

Standard magnetic resonance (MR) imaging analysis in several cases of mesial temporal lobe epilepsy (mTLE) either fail to show an identifiable hippocampal asymmetry or provide only subtle distinguishing features that remain inconclusive. A retrospective analysis of hippocampal fluid-attenuated inversion recovery (FLAIR) MR images was performed in cases of mTLE addressing, particularly, the mean and standard deviation of the signal and its texture. Preoperative T1-weighted and FLAIR MR images of 25 nonepileptic control subjects and 36 mTLE patients with Engel class Ia outcomes were analyzed. Patients requiring extraoperative electrocorticography (ECoG) with intracranial electrodes and thus judged to be more challenging were studied as a separate cohort. Hippocampi were manually segmented on T1-weighted images and their outlines were transposed onto FLAIR studies using an affine registration. Image intensity features including mean and standard deviation and wavelet-based texture features were determined for the hippocampal body. The right/left ratios of these features were used with a linear classifier to establish laterality. Whole hippocampal within-subject volume ratios were assessed for comparison. Mean and standard deviation of FLAIR signal intensities lateralized the site of epileptogenicity in 98% of all cases, whereas analysis of wavelet texture features and hippocampal volumetry each yielded correct lateralization in 94% and 83% of cases, respectively. Of patients requiring more intensive study with extraoperative ECoG, 17/18 were lateralized effectively by the combination of mean and standard deviation ratios despite a ratio of mean signal intensity near one in some. The analysis of mean and standard deviation of FLAIR signal intensities provides a highly sensitive method for lateralizing the epileptic focus in mTLE over that of volumetry or texture analysis of the hippocampal body.

摘要

在一些内侧颞叶癫痫 (mTLE) 病例中,标准磁共振 (MR) 成像分析要么未能显示可识别的海马不对称,要么仅提供仍不确定的细微鉴别特征。对 mTLE 病例的海马液衰减反转恢复 (FLAIR) MR 图像进行了回顾性分析,特别是分析了信号及其纹理的均值和标准差。分析了 25 例非癫痫对照受试者和 36 例 Engel Ⅰa 级结果的 mTLE 患者的术前 T1 加权和 FLAIR MR 图像。对需要额外的皮质脑电图 (ECoG) 检查并因此被认为更具挑战性的患者进行了单独研究。手动在 T1 加权图像上分割海马体,并使用仿射配准将其轮廓转移到 FLAIR 研究上。确定了海马体的图像强度特征,包括均值和标准差以及基于小波的纹理特征。使用线性分类器对这些特征的右/左比值进行了侧化。评估了整个海马体的个体内体积比进行比较。FLAIR 信号强度的均值和标准差在所有病例中均能定位致痫灶,而小波纹理特征和海马体体积分析分别在 94%和 83%的病例中正确定位。需要额外的皮质脑电图检查以进行更深入研究的患者中,17/18 例的侧化效果明显,尽管在某些病例中,平均信号强度比接近 1。FLAIR 信号强度均值和标准差的分析为 mTLE 中癫痫灶的侧化提供了一种比海马体体积分析或纹理分析更敏感的方法。

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本文引用的文献

1
Evaluation of atlas-based segmentation of hippocampi in healthy humans.
Magn Reson Imaging. 2009 Oct;27(8):1104-9. doi: 10.1016/j.mri.2009.01.008. Epub 2009 Mar 4.
2
Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation.
Neuroimage. 2009 Jul 1;46(3):749-61. doi: 10.1016/j.neuroimage.2009.02.013. Epub 2009 Feb 21.
3
Influence of subtraction ictal SPECT on surgical management in focal epilepsy of indeterminate localization: a prospective study.
Epilepsy Res. 2008 Dec;82(2-3):190-3. doi: 10.1016/j.eplepsyres.2008.08.007. Epub 2008 Oct 1.
4
PET imaging of brain 5-HT1A receptors in the preoperative evaluation of temporal lobe epilepsy.
Brain. 2008 Oct;131(Pt 10):2751-64. doi: 10.1093/brain/awn220. Epub 2008 Sep 12.
5
On the selection of an optimal wavelet basis for texture characterization.
IEEE Trans Image Process. 2000;9(12):2043-50. doi: 10.1109/83.887972.
6
Contrast-enhanced perfusion and diffusion MRI accurately lateralize temporal lobe epilepsy: a pilot study.
J Clin Neurosci. 2007 Sep;14(9):841-9. doi: 10.1016/j.jocn.2006.07.003. Epub 2007 Jun 26.
7
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: a proof-of-principle study.
Neuroimage. 2007 May 15;36(1):38-47. doi: 10.1016/j.neuroimage.2007.02.031. Epub 2007 Mar 24.
8
The value of interictal diffusion-weighted imaging in lateralizing temporal lobe epilepsy.
Neurology. 2007 Jan 9;68(2):122-7. doi: 10.1212/01.wnl.0000250337.40309.3d.
9
T2-weighted and T2 relaxometry images in patients with medial temporal lobe epilepsy.
J Neuroimaging. 2006 Jul;16(3):260-5. doi: 10.1111/j.1552-6569.2006.00051.x.
10
Radon transform orientation estimation for rotation invariant texture analysis.
IEEE Trans Pattern Anal Mach Intell. 2005 Jun;27(6):1004-8. doi: 10.1109/TPAMI.2005.126.

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