Non-invasive tests for early-stage liver fibrosis: Current advances and challenges

ABSTRACT: Early-stage liver fibrosis (F1-F2) constitutes a clinically silent yet pivotal phase during which therapeutic intervention may halt or reverse disease progression. However, its timely identification remains challenging given the limited sensitivity of currently non-invasive tests (NITs), including routine serological panels and elastography-based techniques. This review provides a comprehensive and systematic evaluation of the evolving diagnostic landscape aimed at addressing this unmet need. Established approaches are critically appraised alongside emerging next-generation NITs, including ultrasensitive serum biomarkers, molecular imaging probes targeting fibrogenic activity, and artificial intelligence (AI)-driven analysis of conventional imaging modalities. In addition, this review examines innovative diagnostic strategies based on alternative biofluids, including urine, exhaled breath, and saliva, as well as gut microbiota-derived biomarkers and multiomics-integrated models, all of which offer distinct pathophysiological insights and potential advantages in large-scale screening. Despite their considerable promise for improving the precision of early-stage fibrosis detection, these approaches face substantial barriers to clinical implementation, including challenges related to validation, standardization, and integration into existing diagnostic pathways. Addressing these limitations will be essential for establishing a robust, multidimensional diagnostic framework capable of enabling early detection, guiding timely intervention, and advancing the paradigm of hepatology toward effective disease prevention.

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Publication Details

Journal
Chinese Medical Journal
Published
2026-09-15
DOI
https://doi.org/10.1097/cm9.0000000000004311
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Non-invasive tests for early-stage liver fibrosis: Current advances and challenges

Ziyan Pan, Qiushuang Ji, Wenyue Wu, Wei Chen et al.
Chinese Medical Journal
Liver Disease Diagnosis and Treatment
article

Non-invasive tests for early-stage liver fibrosis: Current advances and challenges

Ziyan Pan, Qiushuang Ji, Wenyue Wu, Wei Chen, Wen Zhang, Hong You, Ruoyu Gao, Hong Li, Caihong Wang, Zhi Chen, Haodong Ma
article en

Abstract

ABSTRACT: Early-stage liver fibrosis (F1-F2) constitutes a clinically silent yet pivotal phase during which therapeutic intervention may halt or reverse disease progression. However, its timely identification remains challenging given the limited sensitivity of currently non-invasive tests (NITs), including routine serological panels and elastography-based techniques. This review provides a comprehensive and systematic evaluation of the evolving diagnostic landscape aimed at addressing this unmet need. Established approaches are critically appraised alongside emerging next-generation NITs, including ultrasensitive serum biomarkers, molecular imaging probes targeting fibrogenic activity, and artificial intelligence (AI)-driven analysis of conventional imaging modalities. In addition, this review examines innovative diagnostic strategies based on alternative biofluids, including urine, exhaled breath, and saliva, as well as gut microbiota-derived biomarkers and multiomics-integrated models, all of which offer distinct pathophysiological insights and potential advantages in large-scale screening. Despite their considerable promise for improving the precision of early-stage fibrosis detection, these approaches face substantial barriers to clinical implementation, including challenges related to validation, standardization, and integration into existing diagnostic pathways. Addressing these limitations will be essential for establishing a robust, multidimensional diagnostic framework capable of enabling early detection, guiding timely intervention, and advancing the paradigm of hepatology toward effective disease prevention.

Chinese Medical Journal
Capital Medical University (CN), China Academy of Chinese Medical Sciences (CN), Beijing Friendship Hospital (CN)
Openalex Percentile: Top 11%
Liver Disease Diagnosis and Treatment
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