Cited by 42Liver Disease Diagnosis and TreatmentLiver physiology and pathologyLiver Diseases and Immunity

Quantifying and monitoring fibrosis in non-alcoholic fatty liver disease using dual-photon microscopy

Wang, Yan, Wong, Grace Lai-Hung, He, Fang-Ping, Sun, Jian, Chan, Anthony Wing-Hung, Yang, Jinlian, Shu, Sally She-Ting, Liang, Xieer +5 more·2020·Gut

Abstract

Objective: Fibrosis stage is strongly associated with liver-related outcomes and is a key surrogate endpoint in drug trials for non-alcoholic steatohepatitis. Dual-photon microscopy allows automated quantification of fibrosis-related parameters (q-FPs) and may facilitate large-scale histological studies. We aim to validate the performance of q-FPs in a large histological cohort. Design: 344 patients with non-alcoholic fatty liver disease (NAFLD) underwent 428 liver biopsies (240 had paired transient elastography examination). Fibrosis stage was scored using the NASH Clinical Research Network system, and q-FPs were measured by dual-photon microscopy using unstained slides. Patients were randomly assigned to the training and validation cohorts to test the performance of individual q-FPs and derive optimal cut-offs. Results: Over 25 q-FPs had area under the receiver-operating characteristics curves >0.90 for different fibrosis stages. Among them, the perimeter of collagen fibres and number of long collagen fibres had the highest accuracy. At the best cut-offs, the two q-FPs had 88.3%–96.2% sensitivity and 78.1%–91.1% specificity for different fibrosis stages in the validation cohort. q-FPs and histological scoring had nearly identical correlations with liver stiffness measurement, suggesting that the accuracy of q-FPs approached that of histological assessment. Among patients with paired liver biopsies, changes in the same q-FPs were associated with changes in fibrosis stage. At a median follow-up of 5.6 years, baseline q-FPs predicted liver-related events. Conclusion: q-FP is highly accurate in the assessment of fibrosis in NAFLD patients. This automated platform can be used in future studies as objective and reliable evaluation of histological fibrosis.

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  • Several robust platforms using machine or deep learning have been established to quantify the amount of scar and structural features of extracellular matrix that may reflect progression or regression.

    “To improve the quantitative measurement of fibrosis in liver biopsies, several robust platforms have been established that leverage machine or deep learning to precisely quantify not only the amount of scar, but also structural features of the extracellular matrix that may reflect progression or regression (48, 258, 290, 291).”

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Authors
Wang, Y., Wong, G. L.-H., He, F.-P., Sun, J., Chan, A. W.-H., Yang, J., Shu, S. S.-T., Liang, X., Tse, Y. K., Fan, X.-T., Hou, J., Chan, H. L.-Y., & Wong, V. W.-S.
Affiliations
  • Nanfang Hospital (CN)
  • Chinese University of Hong Kong (HK)
  • Eighth Affiliated Hospital of Sun Yat-sen University (CN)
  • Xinjiang Medical University (CN)
Corresponding author
Wong, Vincent Wai-Sun
Venue
Gut
Publisher
BMJ
Published
2019-09-28
Volume
69
Issue
6
Pages
1116-1126
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
OpenAlex
W2976518963
Cited by
42
References
3
Citations by year
2026: 1 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 7 · 2021: 6 · 2020: 6
FWCI
3.62
Type
journal article
Language
en
Open access
closed
Locations
  • Gut (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Guangzhou Science and Technology Program key projects (201607020019)
  • National Natural Science Foundation of China (81670522)
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
Keywords
non-alcoholic fatty liver disease, liver fibrosis, fibrosis staging, quantitative histology, collagen fibers, transient elastography, liver stiffness, liver biopsy, fibrosis monitoring, liver-related events
MeSH terms
Biopsy, Female, Humans, Liver, Liver Cirrhosis, Longitudinal Studies, Male, Retrospective Studies, Reproducibility of Results, Absorptiometry, Photon, Automation, Laboratory, Non-alcoholic Fatty Liver Disease

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