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在病毒性肝炎患者中模拟肝纤维化进展,使用机器学习工具子类型和阶段推断 (SuStaIn).

Akiyoshi Suzuki1, Katsuhiro Sano1, Yuya Saito1

  • 1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, JPN.

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概括

这项研究揭示了B型肝炎病毒 (HBV) 和C型肝炎病毒 (HCV) 患者肝纤维化进展中的生物标志物变化序列. 血清标志物首先发生变化,其次是成像生物标志物,导致肝缩.

关键词:
肝硬化是肝硬化的一种疾病.乙型肝炎病毒的感染.肝炎c病毒病毒的病毒.肝脏纤维化 肝脏纤维化子类型和阶段推断推断.维护 维持 维持

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科学领域:

  • 肝病学 肝病学是一种肝病学.
  • 生物标志物发现发现
  • 机器学习在医学中的应用

背景情况:

  • 肝纤维化进展和生物标志物变化尚未完全理解.
  • 乙型肝炎病毒 (HBV) 和乙型肝炎病毒 (HCV) 是导致肝病的主要原因.
  • 需要新的工具来阐明疾病进展模式.

研究的目的:

  • 在HBV和HCV患者中调查肝纤维化进展.
  • 在疾病进展过程中识别生物标志物变化的模式.
  • 使用机器学习工具子类型和阶段推理 (SuStaIn).

主要方法:

  • 168名患者的回顾性研究 (HBV,HCV,对照).
  • 从MRI中收集了血清生物标志物 (APRI,FIB-4) 和成像生物标志物 (Q-LSC,CEI,RV/TV).
  • 将SuStaIn应用于z得分的生物标志物以确定进展序列.

主要成果:

  • 建立了一个一致的生物标志物转换顺序:APRI,FIB-4,CEI,Q-LSC,RV/TV.
  • 这一序列在HBV和HCV患者中一致.
  • SuStaIn确定了肝纤维化进展的不同阶段.

结论:

  • 血清生物标志物的异常会先于肝脏达酸吸收的变化.
  • 肝叶缩是纤维化进展的晚期表现.
  • SuStaIn为病毒性肝炎中肝纤维化进展提供了新的见解.