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Published in: Hepatology International 5/2023

Open Access 26-06-2023 | Hepatocellular Carcinoma | Original Article

Liver fibrosis quantified by image morphometry predicts clinical outcomes in patients with non-alcoholic fatty liver disease

Authors: Zhengyi Wang, Gary P. Jeffrey, Yi Huang, Bastiaan De Boer, George Garas, Michael Wallace, Luis Bertot, Leon A. Adams

Published in: Hepatology International | Issue 5/2023

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Abstract

Background and aims

Liver fibrosis predicts adverse clinical outcomes, such as liver-related death (LRD) and hepatocellular carcinoma (HCC) in patients with non-alcoholic fatty liver disease (NAFLD). We aimed to investigate the accuracy of semi-automated quantification of collagen proportionate area (CPA) as an objective new method for predicting clinical outcomes.

Method

Liver biopsies from patients with NAFLD underwent computerized image morphometry of Sirius Red staining with CPA quantification performed by ImageScope. Clinical outcomes, including total mortality, LRD, and combined liver outcomes (liver decompensation, HCC, or LRD), were determined by medical records and population-based data-linkage. The accuracy of CPA for predicting outcomes was compared with non-invasive fibrosis tests (Hepascore, FIB-4, APRI).

Results

A total of 295 patients (mean age 50 years) were followed for a median (range) of 9 (0.2–25) years totalling 3253 person-years. Patients with CPA ≥ 10% had significantly higher risks for total death [hazard ratio (HR): 5.0 (1.9–13.2)], LRD [19.0 (2.0–182.0)], and combined liver outcomes [15.6 (3.1–78.6)]. CPA and pathologist fibrosis staging (FS) showed similar accuracy (AUROC) for the prediction of total death (0.68 vs. 0.70), LRD (0.72 vs. 0.77) and combined liver outcomes (0.75 vs. 0.78). Non-invasive serum markers Hepascore, APRI, and FIB-4 reached higher AUROC; however, they were not statistically significant compared to that of CPA except for Hepascore in predicting total mortality (0.86 vs. 0.68, p = 0.009).

Conclusion

Liver fibrosis quantified by CPA analysis was significantly associated with clinical outcomes including total mortality, LRD, and HCC. CPA achieved similar accuracy in predicting outcomes compared to pathologist fibrosis staging and non-invasive serum markers.
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Metadata
Title
Liver fibrosis quantified by image morphometry predicts clinical outcomes in patients with non-alcoholic fatty liver disease
Authors
Zhengyi Wang
Gary P. Jeffrey
Yi Huang
Bastiaan De Boer
George Garas
Michael Wallace
Luis Bertot
Leon A. Adams
Publication date
26-06-2023
Publisher
Springer India
Published in
Hepatology International / Issue 5/2023
Print ISSN: 1936-0533
Electronic ISSN: 1936-0541
DOI
https://doi.org/10.1007/s12072-023-10564-3

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