Clinical practice and challenges from simple models to precise integration for serological evaluation of a non-invasive diagnosis of liver fibrosis
10.3760/cma.j.cn501113-20250809-00322
- VernacularTitle:肝纤维化无创诊断的血清学评价：从简单模型到精准整合的临床实践与挑战
- Author:
Rui JIN
1
;
Wenjing NI
1
;
Fajuan RUI
1
;
Jie LI
1
Author Information
1. 南京大学医学院附属鼓楼医院感染性疾病科，南京 210008
- Publication Type:Journal Article
- Keywords:
Liver fibrosis;
Non-invasive diagnosis;
Serology;
Marker;
Artificial intelligence
- From:
Chinese Journal of Hepatology
2025;33(10):934-944
- CountryChina
- Language:Chinese
-
Abstract:
Liver fibrosis is a key pathological process in the progression of chronic liver disease, and its early stage and accurate diagnosis are crucial for improving patient prognosis. In recent years, the non-invasive diagnosis of liver fibrosis has gradually shifted from the traditional model based on conventional serological indicators to an evaluation system that integrates new biomarkers and multi-omics technologies. This article systematically reviews the evolution of the serological evaluation system for non-invasive diagnosis of liver fibrosis, introduces the application progress of serological models, novel biomarkers, and the introduction of multimodal integration and artificial intelligence technology, and analyzes their advantages and limitations, with aim of providing novel ideas for achieving accurate diagnosis and assisting in clinical management of patients.
