ArticlePloS one2018
Second harmonic generation microscopy provides accurate automated staging of liver fibrosis in patients with non-alcoholic fatty liver disease.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 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
- Tropifexor for nonalcoholic steatohepatitis: an adaptive, randomized, placebo-controlled phase 2a/b trial.Nature medicine · 2023Trial
- Machine Learning-Assisted SHG Morphometry Reveals Distinct Collagen Microarchitectures of Trabecular Bone and Fibrosis in Bone Marrow Biopsies.International journal of molecular sciences · 2026Article
- AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models.Nature communications · 2026Article
- 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
- Effect of liver biopsy size on MASLD fibrosis assessment by second-harmonic generation/two-photon excitation fluorescence microscopy.JHEP reports : innovation in hepatology · 2025Article
- Machine learning for automated classification of lung collagen in a urethane-induced lung injury mouse model.Biomedical optics express · 2024Article
- Advanced glycation end products mediate biomineralization disorder in diabetic bone disease.Cell reports. Medicine · 2024Article
- Liver fibrosis analysis using digital pathology.Medical molecular morphology · 2024Review
- Investigating cartilage-related diseases by polarization-resolved second harmonic generation (P-SHG) imaging.APL bioengineering · 2024Article
- 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
- Quantification of collagen fiber properties in alcoholic liver fibrosis using polarization-resolved second harmonic generation microscopy.Scientific reports · 2023Article
- Non-alcoholic fatty liver disease: the pathologist's perspective.Clinical and molecular hepatology · 2023Review
- Collagen co-localized with macrovesicular steatosis better differentiates fibrosis progression in non-alcoholic fatty liver disease mouse models.Frontiers in medicine · 2023Article
- FASN inhibition targets multiple drivers of NASH by reducing steatosis, inflammation and fibrosis in preclinical models.Scientific reports · 2022Article
- Histological assessment based on liver biopsy: the value and challenges in NASH drug development.Acta pharmacologica Sinica · 2022Review
- Assessment of Ultra-Early-Stage Liver Fibrosis in Human Non-Alcoholic Fatty Liver Disease by Second-Harmonic Generation Microscopy.International journal of molecular sciences · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssessment of severity of liver fibrosis is essential in the management of non-alcoholic fatty liver disease (NAFLD). Second Harmonic Generation (SHG) microscopy is a novel optical tissue imaging system that provides automated quantification of fibrosis based on unique architectural features of collagen. This study aims to develop and validate a SHG-based index for automated staging of liver fibrosis in patients with NAFLD.
methodsSHG microscopy was performed on archived liver biopsy specimens from 83 patients with NAFLD. A unique algorithm was developed to identify specific SHG parameters that correlated with fibrosis stage. The accuracy of the algorithm was compared against clinical assessment by experienced liver histopathologists using the Brunt fibrosis staging and further validated using the leave-one-out cross-validation method.
resultsMean age of the study cohort was 51.8 ± 11.7 years, with 41% males. A fibrosis index (SHG B-index) was developed comprising 14 unique SHG-based collagen parameters that correlated with severity of NAFLD fibrosis in a continuous fashion. The SHG B-index had excellent correlation with Brunt fibrosis stage (Spearman's correlation 0.820, p<0.001). AUROCs for prediction of Brunt fibrosis stages 1, 2, 3 and 4 were 0.853, 0.967, 0.985 and 0.941 respectively. In the cross-validation analysis, the SHG B-index demonstrated high specificity for diagnosis of all grades of fibrosis. A SHG B-index score of >1.76 had an overall diagnostic accuracy of 98.5% for prediction of presence of bridging fibrosis (Brunt stage ≥3) with sensitivity of 87.5%, specificity 98.0%, positive predictive value 96.6% and negative predictive value 92.6%.
conclusionThe SHG B-index is a unique SHG-based index that provides accurate automated assessment of fibrosis stage in NAFLD patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.