Clinical evaluation of liver fibrosis regression： A multimodal precision strategy based on histology， serology， and imaging
- VernacularTitle:肝纤维化逆转的临床评估： 基于组织学、血清学与影像学的多模态精准策略
- Author:
Yizhou LIU
1
;
Qiannan JIANG
1
;
Hong YOU
1
;
Xiaoning WU
1
Author Information
- Publication Type:Review
- Keywords: Hepatic Fibrosis; Histology; Serology; Imaging
- From: Journal of Clinical Hepatology 2026;42(7):1683-1687
- CountryChina
- Language:Chinese
- Abstract: Liver fibrosis is a key pathological stage in the progression of chronic liver diseases to liver cirrhosis， and effective etiological control or therapeutic interventions can help to achieve varying degrees of liver fibrosis regression in some patients. Accordingly， accurate assessment of the degree of liver fibrosis regression has gradually become an important concern in clinical management and the development of novel therapeutic agents. Conventional assessment methods mainly focus on fibrosis staging and have certain limitations in reflecting structural remodeling and dynamic changes of the liver. This article systematically reviews the recent research advances in the assessment of liver fibrosis regression from various aspects such as histological and digital pathology， serological and multi-omics biomarkers， and functional and molecular imaging modalities and discusses their respective advantages and limitations in assessing liver fibrosis regression. On this basis， this article discusses a multimodal integrated evaluation strategy based on artificial intelligence， in order to provide new ideas for accurate assessment of liver fibrosis regression， individualized therapeutic monitoring， and optimization of clinical trial endpoints.
