首页> 外文会议>6th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2003) Pt.II; Nov 15-18, 2003; Montreal, Canada >Age and Treatment Related Local Hippocampal Changes in Schizophrenia Explained by a Novel Shape Analysis Method
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Age and Treatment Related Local Hippocampal Changes in Schizophrenia Explained by a Novel Shape Analysis Method

机译:新型形状分析方法解释了精神分裂症的年龄和与治疗有关的局部海马改变

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Volume reduction of the hippocampus observed with MRI is one of the most consistently described structural abnormalities in patients with schizophrenia. However, the timing, the association with treatment, and an intuitive explanation of morphologic changes in terms of shape differences are not known. This study analyzed subtle changes of the hippocampal structure in schizophrenics as compared to matched controls. The effect of age, duration of illness and treatment effects to local shape changes was studied with a new shape representation technique and an exploratory statistical analysis. Shape representation was based on a sampled medial model (M-rep) describing each shape by an 8 by 3 mesh with local position and width at each node. This model allows an independent analysis of shape deformation and of local atrophy. The exploratory statistical model was a repeated measures ANOVA, cast as a general linear multivariate model. The new procedure overcomes the problem of testing a very large number of correlated observations, which is a significant limitation of many other shape discrimination schemes. As a novel contribution not shown before, it models shape in combination with patient variables to answer important clinical questions in regard to drug response and longitudinal change in order to assess developmental and degenerative processes. The exploratory nature of the analysis means that our results must be replicated in a hypothesis driven independent patient study in order to provide full confidence in the conclusions.
机译:MRI观察到的海马体积减少是精神分裂症患者中最一致描述的结构异常之一。然而,时机,与治疗的联系以及就形状差异而言形态变化的直观解释尚不清楚。这项研究分析了与对照相比,精神分裂症患者海马结构的细微变化。使用新的形状表示技术和探索性统计分析研究了年龄,疾病持续时间和治疗效果对局部形状变化的影响。形状表示基于采样的中间模型(M-rep),该模型通过8 x 3网格描述每个形状,每个节点处都有局部位置和宽度。该模型允许对形状变形和局部萎缩进行独立分析。探索性统计模型是重复测量方差分析,被转换为一般的线性多元模型。新程序克服了测试大量相关观测值的问题,这是许多其他形状判别方案的重要限制。作为以前未曾展示过的新颖贡献,它结合患者变量对人体模型进行建模,以回答有关药物反应和纵向变化的重要临床问题,从而评估发育和退化过程。分析的探索性性质意味着我们的结果必须在假设驱动的独立患者研究中进行复制,以便对结论提供完全的信心。

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