ArticleHepatology (Baltimore, Md.)2017
Dual-photon microscopy-based quantitation of fibrosis-related parameters (q-FP) to model disease progression in steatohepatitis.
Article in Hepatology (Baltimore, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 53 citations in OpenAlex.
- Digital quantitation of bridging fibrosis and septa reveals changes in natural history and treatment not seen with conventional histology.Liver international : official journal of the International Association for the Study of the Liver · 2024Trial
- AI-assisted fibrosis scoring in MASH: Exploring pathologist decision-making with an SHG-based AI digital pathology tool.JHEP reports : innovation in hepatology · 2026Article
- The Relationship Between Non-Invasive Tests and Digital Pathology for Quantifying Liver Fibrosis in MASLD.Diagnostics (Basel, Switzerland) · 2025Article
- Development of AI Based Fibrosis Detection Algorithm by SHG/TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH.Liver international : official journal of the International Association for the Study of the Liver · 2025Article
- Liver fibrosis progression analyzed with AI predicts renal decline.JHEP reports : innovation in hepatology · 2025Article
- Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions.Journal of hepatology · 2024Review
- Digital pathology for nonalcoholic steatohepatitis assessment.Nature reviews. Gastroenterology & hepatology · 2024Review
- Upregulation of GLT25D1 in Hepatic Stellate Cells Promotes Liver Fibrosis via the TGF-β1/SMAD3 PathwayJournal of clinical and translational hepatology · 2023Article
- Non-alcoholic fatty liver disease: the pathologist's perspective.Clinical and molecular hepatology · 2023Review
- Surveillance of the progression and assessment of treatment endpoints for nonalcoholic steatohepatitis.Clinical and molecular hepatology · 2023Review
- The role of altered lipid composition and distribution in liver fibrosis revealed by multimodal nonlinear optical microscopy.Science advances · 2023Article
- Automated quantitative assay of fibrosis characteristics in tuberculosis granulomas.Frontiers in microbiology · 2023Article
- Autofluorescence Label-Free Imaging of the Liver Reticular Structure.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Collagen co-localized with macrovesicular steatosis better differentiates fibrosis progression in non-alcoholic fatty liver disease mouse models.Frontiers in medicine · 2023Article
- Complexity of ballooned hepatocyte feature recognition: Defining a training atlas for artificial intelligence-based imaging in NAFLD.Journal of hepatology · 2022Article
- Histological assessment based on liver biopsy: the value and challenges in NASH drug development.Acta pharmacologica Sinica · 2022Review
- Current status and challenges in the drug treatment for fibrotic nonalcoholic steatohepatitis.Acta pharmacologica Sinica · 2022Review
- [New advances of artificial intelligence in the diagnosis of non-alcoholic fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022Review
- Efficacy and Safety of a Botanical Formula Fuzheng Huayu for Hepatic Fibrosis in Patients with CHC: Results of a Phase 2 Clinical Trial.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Developing a New qFIBS Model Assessing Histological Features in Pediatric Patients With Non-alcoholic Steatohepatitis.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
There is a need for further refinement of current histological systems for assessment of hepatic fibrosis in nonalcoholic fatty liver disease (NAFLD). This study evaluated hepatic fibrosis in NAFLD using dual-photon microscopy-based quantitation of fibrosis-related parameters (q-FPs). Fifty test cohort subjects and 42 validation cohort subjects with NAFLD and the full spectrum of fibrosis were studied. q-FPs were measured in specific predefined regions of interest (general, vessel, perisinusoid, and vascular septa). Seventy q-FPs had inter- and intraobserver concordance ≥0.8 and were related to the NASH Clinical Research Network fibrosis staging. Of these, 16 q-FPs with the strongest correlations (P < 0.001 for all) were entered in a principal component analysis model (odds ratio [OR] 7.8, P < 0.001), which separated any stage of fibrosis versus no fibrosis, and cirrhosis versus earlier stages with the areas under the receiver operating characteristic curves of 0.88 and 0.93 (P ≤ 0.01 for both), respectively. In an independent multivariable analysis, four q-FPs-the number of collagen strands (OR 8.5, P = 0.004), strand length (OR 12.0, P = 0.02), strand eccentricity (OR 8.3, P = 0.004), and strand solidity (OR 8.0, P = 0.003)-were independently associated with fibrosis stages and were used to model fibrosis along a continuous linear scale using desirability functions; this linear scale of fibrosis measurement was also related to fibrosis stage (P < 0.0001). The robustness of both the multivariable model and the linear scale of measurement was confirmed in the validation cohort.
conclusionThe q-FP model provides an accurate reproducible method to evaluate fibrosis in NAFLD along a quantitative and continuous scale. (Hepatology 2017;65:1891-1903).
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