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首页> 外文期刊>Journal of Alzheimer's disease: JAD >Fully Automated Atlas-Based Hippocampal Volumetry for Detection of Alzheimer's Disease in a Memory Clinic Setting
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Fully Automated Atlas-Based Hippocampal Volumetry for Detection of Alzheimer's Disease in a Memory Clinic Setting

机译：全自动基于Atlas的海马容量测定仪，用于在记忆性诊所中检测阿尔茨海默氏病

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Hippocampal volume is a promising biomarker to enhance the accuracy of the diagnosis of dementia due to Alzheimer's disease (AD). However, whereas hippocampal volume is well studied in patient samples from clinical trials, its value in clinical routine patient care is still rather unclear. The aim of the present study, therefore, was to evaluate fully automated atlas-based hippocampal volumetry for detection of AD in the setting of a secondary care expert memory clinic for outpatients. One-hundred consecutive patients with memory complaints were clinically evaluated and categorized into three diagnostic groups: AD, intermediate AD, and non-AD. A software tool based on open source software (Statistical Parametric Mapping SPM8) was employed for fully automated tissue segmentation and stereotactical normalization of high-resolution three-dimensional T1-weighted magnetic resonance images. Predefined standard masks were used for computation of grey matter volume of the left and right hippocampus which then was scaled to the patient's total grey matter volume. The right hippocampal volume provided an area under the receiver operating characteristic curve of 84% for detection of AD patients in the whole sample. This indicates that fully automated MR-based hippocampal volumetry fulfills the requirements for a relevant core feasible biomarker for detection of AD in everyday patient care in a secondary care memory clinic for outpatients. The software used in the present study has been made freely available as an SPM8 toolbox. It is robust and fast so that it is easily integrated into routine workflow.
机译：海马体积是提高阿尔茨海默氏病（AD）痴呆症诊断准确性的有前途的生物标志物。然而，尽管在临床试验的患者样本中对海马体积进行了充分的研究，但其在临床常规患者护理中的价值仍不清楚。因此，本研究的目的是评估针对门诊患者的二级保健专家记忆诊所中基于全自动图谱的海马容量测定仪，以检测AD。连续对一百名患有记忆障碍的患者进行了临床评估，并将其分为三个诊断组：AD，中度AD和非AD。使用基于开源软件（统计参数映射SPM8）的软件工具对高分辨率三维T1加权磁共振图像进行全自动组织分割和立体定向归一化。使用预定义的标准口罩来计算左右海马体的灰质体积，然后将其缩放到患者的总灰质体积。右海马体积在接收器工作特征曲线下方提供了一个面积为84％的区域，用于检测整个样本中的AD患者。这表明基于MR的全自动海马容量测定仪满足了门诊二级保健记忆诊所在日常患者护理中检测AD的相关核心可行生物标记的要求。本研究中使用的软件已作为SPM8工具箱免费提供。它强大且快速，因此很容易集成到常规工作流程中。

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