人工智能与影像组学在肝纤维化及肝硬化中的研究进展

摘要/Abstract

摘要： 肝纤维化是肝脏受到各种损伤后细胞外基质弥漫性过度沉积与异常分布的修复反应,是各种慢性肝病向肝硬化发展的病理过程。肝纤维化虽不是一种独立的疾病状态,但需要精准评估和动态监测,一旦进展至肝硬化阶段,病程将很难逆转。代偿期肝硬化患者常无明显临床症状,而失代偿期肝硬化以门静脉高压和肝功能损伤为特征,患者常因腹水、消化道出血、肝性脑病等并发症而死亡,导致个人和社会较为沉重的医疗负担。准确评估肝纤维化分期及肝硬化进展、识别危重症患者对此病的诊断、临床管理及预后均十分重要。而人工智能(artifical intelligence, AI)与影像组学作为近年发展迅猛的新兴技术,在疾病诊断、风险评估、转归预测等医学领域均得到了一定的应用,本文旨在对人工智能与影像组学在肝纤维化及肝硬化中的研究进展做一综述。

关键词: 人工智能, 影像组学, 肝纤维化, 肝硬化, 并发症

张舒, 张蒙, 刘雨萌, 黄小平, 甘建和. 人工智能与影像组学在肝纤维化及肝硬化中的研究进展[J]. 肝脏, 2022, 27(10): 1143-1145.

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