Automated hippocampal segmentation in patients with epilepsy: available free online.

Automated hippocampal segmentation in patients with epilepsy: available free online.
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DOI:
10.1111/epi.12408
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发表时间:
2013-12
期刊:
影响因子:
5.6
通讯作者:
Ourselin S
Ourselin S
中科院分区:
医学1区
文献类型:
--
作者:
Winston GP;Cardoso MJ;Williams EJ;Burdett JL;Bartlett PA;Espak M;Behr C;Duncan JS;Ourselin S

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海马区硬化症是难治性局灶性癫痫的常见原因,需要进行海马区体积测量以进行准确的诊断和手术计划。手动分段非常耗时,并受评核人/评核人内部变化的影响。自动算法在颞叶癫痫患者中表现不佳。我们验证了一种新的自动化方法,并在网上免费提供。在876,3T磁共振扫描和202,1.5T扫描上进行手动海马区分割。使用400个高质量人工分割的模板数据库,使用基于多图谱的分割传播方法对所有扫描进行自动分割,该方法适用于基于局部相似性的标签融合,以确保准确的分割而不考虑病理。通过重叠程度(Dice系数)和比较海马体体积来评估手动分割和自动分割之间的一致性。自动分割算法在3T扫描上提供了稳健的海马区描绘,与不同的人类评分者之间的差异不大(骰子系数:评价者之间的0.832,手动与自动0.847)。此外,该算法在1.5T扫描(Dice系数0.827)中提供了出色的结果,即使在较小的硬化性海马区,自动分割仍保持准确。手动和自动海马体体积之间有很强的相关性(在3T扫描中,皮尔逊相关系数左侧为0.929,右侧为0.941)。我们证明了在海马区硬化症患者中可靠地识别出海马区萎缩,这对于癫痫的临床治疗是至关重要的,特别是如果正在考虑手术治疗的话。我们提供免费的在线Web服务,使海马体体积测量在全球范围内可用,从而极大地改善了对癫痫患者的评估。
Hippocampal sclerosis, a common cause of refractory focal epilepsy, requires hippocampal volumetry for accurate diagnosis and surgical planning. Manual segmentation is time-consuming and subject to interrater/intrarater variability. Automated algorithms perform poorly in patients with temporal lobe epilepsy. We validate and make freely available online a novel automated method. Manual hippocampal segmentation was performed on 876, 3T MRI scans and 202, 1.5T scans. A template database of 400 high-quality manual segmentations was used to perform automated segmentation of all scans with a multi-atlas–based segmentation propagation method adapted to perform label fusion based on local similarity to ensure accurate segmentation regardless of pathology. Agreement between manual and automated segmentations was assessed by degree of overlap (Dice coefficient) and comparison of hippocampal volumes. The automated segmentation algorithm provided robust delineation of the hippocampi on 3T scans with no more variability than that seen between different human raters (Dice coefficients: interrater 0.832, manual vs. automated 0.847). In addition, the algorithm provided excellent results with the 1.5T scans (Dice coefficient 0.827), and automated segmentation remained accurate even in small sclerotic hippocampi. There was a strong correlation between manual and automated hippocampal volumes (Pearson correlation coefficient 0.929 on the left and 0.941 on the right in 3T scans). We demonstrate reliable identification of hippocampal atrophy in patients with hippocampal sclerosis, which is crucial for clinical management of epilepsy, particularly if surgical treatment is being contemplated. We provide a free online Web-based service to enable hippocampal volumetry to be available globally, with consequent greatly improved evaluation of those with epilepsy.
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