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在多发性硬化症中使用常规的MRI序列分割胆管的全自动方法.

Loredana Storelli1, Elisabetta Pagani1, Martina Rubin1,2

  • 1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Journal of magnetic resonance imaging : JMRI
|August 2, 2023
PubMed
概括
此摘要是机器生成的。

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这项研究提出了一种快速的,自动的方法,用于在多发性硬化症 (MS) 患者中使用核磁共振 (MRI) 来细分胆 (CP) 体积. 开发的技术准确地测量了CP体积,与疾病严重程度相关,并为神经炎症评估提供了一个新的工具.

科学领域:

  • 神经成像是一种神经成像.
  • 放射学 放射学是一门学科.
  • 生物医学工程 生物医学工程

背景情况:

  • 胆管 (CP) 体积是多发性硬化症 (MS) 中神经炎症的潜在生物标志物.
  • 对于临床应用,需要准确和高效的CP体积测量方法.

研究的目的:

  • 开发和验证一种快速的,自动化的方法,用于使用标准T1加权和FLAIRMRI序列对CP进行细分.
  • 将拟议方法的性能与手动细分和现有的自动化技术进行比较.

主要方法:

  • 一项回顾性研究,涉及55名多发性硬化患者和60名健康对照人群 (HC).
  • 使用了3.0T 3D T1加权和 FLAIR MRI 序列.
  • 使用高斯混合模型 (GMM) 开发了一种自动化细分算法,并将其与手动细分和Freesurfer (FS/FS-GMM) 进行比较.

主要成果:

  • 与FS (DSC=0.37) 和FS-GMM (DSC=0.58) 相比,提出的自动方法实现了高分段精度 (DSC=0.65).
  • 与手动细分体积 (R=0.70) 有着强烈的相关性.
  • 在MS患者中显示了CP体积和扩展残疾状态量表 (EDSS) 分数之间的显著相关性 (R=0.2).
  • 拟议方法的计算时间比FS和FS-GMM快得多.
关键词:
自动细分自动细分自动细分冠状动脉脉 (choroid plexuses) 的一个部分.这是一种炎症炎症炎症炎症.多发性硬化症多发性硬化症

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结论:

  • 通过使用T1加权和FLAIRMRI成功开发了一种准确,快速和易于实施的自动化方法,用于MS中CP细分.
  • 这种自动化方法有望用于评估MS中神经炎症的常规临床使用.