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Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis

机译:海马中的微观结构调制允许表征复发 - 延长与初级进步多发性硬化

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Whether gray matter (GM) regions are differentially vulnerable in Relapsing-Remitting and Primary Progressive Multiple Sclerosis (RRMS and PPMS) is still unknown. The objective of this study was to evaluate morphometric and microstructural properties based on structural and diffusion magnetic resonance imaging (dMRI) data in these MS phenotypes, and verify if selective intra-pathological alterations characterise GM structures- Diffusion Tensor Imaging (DTI) and 3D Simple Harmonics Oscillator based Reconstruction and Estimation (3D-SHORE) models were used to fit the dMRI signals, and several features were subsequently extracted from the regional values distributions (e.g., mean, median, skewness). Statistical analyses were conducted to test for group differences and possible correlations with physical disability scores. Results highlighted 3D-SHORE sensitivity to microstructural differences in hippocampus, which was also significantly correlated to physical disability. Conversely, morphometric measurements did not reach any statistical significance. Our study emphasized the potential of dMRI, and in particular the importance of advanced models such as 3D-SHORE with respect to DTI in characterizing the two MS types. In addition, hippocampus has been revealed as particularly relevant in the distinction of RRMS from PPMS and calls for further investigation.
机译:灰质(GM)区域是否差异易受复发延迟,初级进行多发性硬化(RRMS和PPMS)仍然未知。本研究的目的是基于这些MS表型中的结构和扩散磁共振成像(DMRI)数据来评估形态学和微观结构性质,并验证选择性内部的病理变化是否表征了GM结构 - 扩散张量成像(DTI)和3D简单基于谐波振荡器的重建和估计(3D-Shore)模型用于拟合DMRI信号,随后从区域值分布中提取了几个特征(例如,平均值,中值,偏斜)。进行统计分析以试验组差异和与物理残疾分数的可能相关性。结果突出了海马微观结构差异的3D肖氏敏感性,也与物理残疾显着相关。相反,形态测量测量没有达到任何统计学意义。我们的研究强调了DMRI的潜力,特别是在表征两毫秒类型的DTI方面的先进模型等高级模型的重要性。此外,海马已被揭示在PPMS的RRMS区别中特别相关,并要求进一步调查。

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