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本文引用的文献

1
Automated hippocampal segmentation in patients with epilepsy: available free online.癫痫患者的自动海马分割:可在线免费获取。
Epilepsia. 2013 Dec;54(12):2166-73. doi: 10.1111/epi.12408. Epub 2013 Oct 23.
2
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.步骤:传播分割的相似性和真实性估计及其在海马体分割和脑区划分中的应用。
Med Image Anal. 2013 Aug;17(6):671-84. doi: 10.1016/j.media.2013.02.006. Epub 2013 Mar 1.
3
Within-subject template estimation for unbiased longitudinal image analysis.基于个体的模板估计在无偏纵向影像分析中的应用。
Neuroimage. 2012 Jul 16;61(4):1402-18. doi: 10.1016/j.neuroimage.2012.02.084. Epub 2012 Mar 10.
4
FreeSurfer.FreeSurfer。
Neuroimage. 2012 Aug 15;62(2):774-81. doi: 10.1016/j.neuroimage.2012.01.021. Epub 2012 Jan 10.
5
Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities.自动海马分割在颞叶癫痫中的应用:发育异常的影响。
Neuroimage. 2012 Feb 15;59(4):3178-86. doi: 10.1016/j.neuroimage.2011.11.040. Epub 2011 Nov 25.
6
AFNI: what a long strange trip it's been.AFNI:这是一段漫长而奇妙的旅程。
Neuroimage. 2012 Aug 15;62(2):743-7. doi: 10.1016/j.neuroimage.2011.08.056. Epub 2011 Aug 27.
7
Temporal lobectomy: resection volume, neuropsychological effects, and seizure outcome.颞叶切除术:切除体积、神经心理学影响及癫痫发作结果。
Epilepsy Behav. 2009 Oct;16(2):311-4. doi: 10.1016/j.yebeh.2009.07.040. Epub 2009 Aug 22.
8
Hippocampal volume assessment in temporal lobe epilepsy: How good is automated segmentation?颞叶癫痫中海马体积评估:自动分割的效果如何?
Epilepsia. 2009 Dec;50(12):2586-92. doi: 10.1111/j.1528-1167.2009.02243.x. Epub 2009 Aug 13.
9
Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI.基于超高分辨率活体磁共振成像的海马亚区自动分割
Hippocampus. 2009 Jun;19(6):549-57. doi: 10.1002/hipo.20615.
10
Subcortical and cerebellar atrophy in mesial temporal lobe epilepsy revealed by automatic segmentation.通过自动分割显示的内侧颞叶癫痫中的皮质下和小脑萎缩。
Epilepsy Res. 2008 May;79(2-3):130-8. doi: 10.1016/j.eplepsyres.2008.01.006. Epub 2008 Mar 21.

自动与手动海马分割在术前和术后癫痫患者中的比较。

Automated versus manual hippocampal segmentation in preoperative and postoperative patients with epilepsy.

机构信息

Clinical Epilepsy Section, NINDS, NIH, Bethesda, Maryland, U.S.A.

出版信息

Epilepsia. 2014 Sep;55(9):1374-9. doi: 10.1111/epi.12694. Epub 2014 Jun 25.

DOI:10.1111/epi.12694
PMID:24965103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4167188/
Abstract

OBJECTIVE

To compare manual and automated preoperative and postoperative hippocampal volume measurements in patients with intractable epilepsy.

METHODS

We studied 34 patients referred to the Clinical Epilepsy Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH) for evaluation of intractable epilepsy and 21 normal volunteers who received 1.5 or 3 T GE Signa magnetic resonance imaging (MRI) scans. Hippocampal volumes were traced manually on each slice and assembled into three-dimensional volumes by investigators who were blinded to other data. Automated volumetric measurements were obtained using FreeSurfer. Statistical analysis was performed with GraphPad Prism.

RESULTS

Automated hippocampal volumes were larger than manual volumes in both patients and normal volunteers (p < 0.05). Right to left hemisphere hippocampal ratio and percent of hippocampus resected did not differ significantly by segmentation method. It was not possible to obtain accurate total resection volumes with the automated method.

SIGNIFICANCE

Values such as side-to-side ratio and percent resected may be more directly translatable between manual and automated methods than absolute measures of volume. Accurate determination of resection volumes is important for studies of the effects of surgery on both seizure control and postoperative neuropsychological deficits. Our preliminary data suggest that FreeSurfer may provide an accurate and simple method for quantitating hippocampal resections. However, it may be less valuable for large or extratemporal resections, or when distortions of normal anatomy are present. A PowerPoint slide summarizing this article is available for download in the Supporting Information section here.

摘要

目的

比较手动和自动术前及术后海马体积测量在难治性癫痫患者中的应用。

方法

我们研究了 34 名因难治性癫痫就诊于美国国立神经病学与卒中研究所(NINDS)国立卫生研究院(NIH)临床癫痫科的患者和 21 名接受 1.5 或 3T GE Signa 磁共振成像(MRI)扫描的正常志愿者。研究者在不知道其他数据的情况下,对每位患者的每个切片进行手动追踪,并将其组装成三维体积。使用 FreeSurfer 进行自动容积测量。使用 GraphPad Prism 进行统计分析。

结果

在患者和正常志愿者中,自动海马体积均大于手动体积(p<0.05)。左右半球海马比率和海马切除百分比不因分割方法而有显著差异。自动方法无法获得准确的全切除体积。

意义

与体积的绝对测量值相比,侧-侧比率和切除百分比等数值可能更直接地在手动和自动方法之间转换。准确确定切除体积对于研究手术对癫痫控制和术后神经认知缺陷的影响非常重要。我们的初步数据表明,FreeSurfer 可能为定量海马切除术提供一种准确而简单的方法。然而,对于较大或非颞叶切除,或存在正常解剖结构扭曲时,其价值可能较低。本文的幻灯片总结可在此处的支持信息部分下载。