ArticleJournal of pathology informatics2015
Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C.
Article in Journal of pathology informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 15 citations in OpenAlex.
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- Autophagy of hepatic stellate cell induced by Clonorchis sinensis.Molecular biology reports · 2022Article
- Advanced septa size quantitation determines the evaluation of histological fibrosis outcome in chronic hepatitis B patients.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018Article
- Diagnosis and staging of fibrosis in patients with chronic hepatitis C: comparison and critical overview of current strategies.Hepatic medicine : evidence and research · 2018Review
- Evaluating segmental liver function using T1 mapping on Gd-EOB-DTPA-enhanced MRI with a 3.0 Tesla.BMC medical imaging · 2017Article
- A high throughput approach for analysis of cell nuclear deformability at single cell level.Scientific reports · 2016Article
- Repeatability, Reproducibility, Separative Power and Subjectivity of Different Fish Morphometric Analysis Methods.PloS one · 2016Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLiver fibrosis staging provides prognostic value, although hampered by observer variability. We used digital analysis to develop diagnostic morphometric scores for significant fibrosis, cirrhosis and fibrosis staging in chronic hepatitis C. MATERIALS AND
methodsWe automated the measurement of 44 classical and new morphometric descriptors. The reference was histological METAVIR fibrosis (F) staging (F0 to F4) on liver biopsies. The derivation population included 416 patients and liver biopsies ≥20 mm-length. Two validation population included 438 patients.
resultsIn the derivation population, the area under the receiver operating characteristic (AUROC) for clinically significant fibrosis (F stage ≥2) of a logistic score combining 5 new descriptors (stellar fibrosis area, edge linearity, bridge thickness, bridge number, nodularity) was 0.957. The AUROC for cirrhosis of 6 new descriptors (edge linearity, nodularity, portal stellar fibrosis area, portal distance, granularity, fragmentation) was 0.994. Predicted METAVIR F staging combining 8 morphometric descriptors agreed well with METAVIR F staging by pathologists: κ = 0.868. Morphometric score of clinically significant fibrosis had a higher correlation with porto-septal fibrosis area (r s = 0.835) than METAVIR F staging (r s = 0.756, P < 0.001) and the same correlations with fibrosis biomarkers, e.g., serum hyaluronate: r s = 0.484 versus r s = 0.476 for METAVIR F (P = 0.862). In the validation population, the AUROCs of clinically significant fibrosis and cirrhosis scores were, respectively: 0.893 and 0.993 in 153 patients (biopsy < 20 mm); 0.955 and 0.994 in 285 patients (biopsy ≥ 20 mm). The three morphometric diagnoses agreed with consensus expert reference as well as or better than diagnoses by first-line pathologists in 285 patients, respectively: significant fibrosis: 0.733 versus 0.733 (κ), cirrhosis: 0.900 versus 0.827, METAVIR F: 0.881 versus 0.865.
conclusionThe new automated morphometric scores provide reproducible and accurate diagnoses of fibrosis stages via "virtual expert pathologist."
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