摘要慢性肝病及其并发症负担沉重，肝穿刺活组织检查的局限性促使无创评估成为临床迫切需求。超声新技术通过获取弹性、黏性、脂肪定量及微血流成像等多参数，为肝纤维化分期、炎症活动监测及脂肪变性量化提供了可靠手段，在慢性肝病早期诊断、病情监测及预后管理中展现出重要潜力。尽管各技术价值显著，但面临诊断阈值非普适性、混杂因素干扰及技术标准化缺失等挑战，未来多参数融合及人工智能模型可能是突破方向。

abstractsChronic liver disease and its complications impose a heavy burden，and the limits of liver biopsy tests have rendered non-invasive assessment an urgent clinical need. Multiple novel parameters，such as elasticity，viscosity，fat quantification，and micro-flow imaging，have been established as reliable methods for staging liver fibrosis，monitoring inflammatory activity，and quantifying steatosis，providing considerable potential for diagnosis，disease monitoring，and prognostic management of chronic liver diseases via ultrasonically technology at an early stage. Challenges such as the non-universal nature of diagnostic thresholds，interference from confounding factors，and a lack of technical standardization remain，despite the considerable value of each technology. Therefore，the integration of multiple parameters and artificial intelligence models may be a breakthrough direction in the future.