Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82162
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dc.contributor.authorXu, Shuoyuen
dc.contributor.authorWang, Yanen
dc.contributor.authorTai, Dean C.S.en
dc.contributor.authorWang, Shien
dc.contributor.authorCheng, Chee Leongen
dc.contributor.authorPeng, Qiwenen
dc.contributor.authorYan, Jieen
dc.contributor.authorChen, Yongpengen
dc.contributor.authorSun, Jianen
dc.contributor.authorLiang, Xieeren
dc.contributor.authorZhu, Youfuen
dc.contributor.authorRajapakse, Jagath Chandanaen
dc.contributor.authorWelsch, Roy E.en
dc.contributor.authorSo, Peter T.C.en
dc.contributor.authorWee, Aileenen
dc.contributor.authorHou, Jinlinen
dc.contributor.authorYu, Hanryen
dc.date.accessioned2016-08-17T09:02:14Zen
dc.date.accessioned2019-12-06T14:47:47Z-
dc.date.available2016-08-17T09:02:14Zen
dc.date.available2019-12-06T14:47:47Z-
dc.date.issued2014en
dc.identifier.citationXu, S., Wang, Y., Tai, D. C. S., Wang, S., Cheng, C. L., Peng, Q., et al. (2014). qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients. Journal of Hepatology, 61(2), 260-269.en
dc.identifier.issn0168-8278en
dc.identifier.urihttps://hdl.handle.net/10356/82162-
dc.description.abstractBackground & Aims: There is increasing need for accurate assessment of liver fibrosis/cirrhosis. We aimed to develop qFibrosis, a fully-automated assessment method combining quantification of histopathological architectural features, to address unmet needs in core biopsy evaluation of fibrosis in chronic hepatitis B (CHB) patients.Methods: qFibrosis was established as a combined index based on 87 parameters of architectural features. Images acquired from 25 Thioacetamide-treated rat samples and 162 CHB core biopsies were used to train and test qFibrosis and to demonstrate its reproducibility. qFibrosis scoring was analyzed employing Metavir and Ishak fibrosis staging as standard references, and collagen proportionate area (CPA) measurement for comparison. Results: qFibrosis faithfully and reliably recapitulates Metavir fibrosis scores, as it can identify differences between all stages in both animal samples (p <0.001) and human biopsies (p <0.05). It is robust to sampling size, allowing for discrimination of different stages in samples of different sizes (area under the curve (AUC): 0.93–0.99 for animal samples: 1–16 mm2; AUC: 0.84–0.97 for biopsies: 10–44 mm in length). qFibrosis can significantly predict staging underestimation in suboptimal biopsies (<15 mm) and under- and over-scoring by different pathologists (p <0.001). qFibrosis can also differentiate between Ishak stages 5 and 6 (AUC: 0.73, p = 0.008), suggesting the possibility of monitoring intra-stage cirrhosis changes. Best of all, qFibrosis demonstrates superior performance to CPA on all counts. Conclusions: qFibrosis can improve fibrosis scoring accuracy and throughput, thus allowing for reproducible and reliable analysis of efficacies of anti-fibrotic therapies in clinical research and practice.en
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en
dc.format.extent10 p.en
dc.language.isoenen
dc.relation.ispartofseriesJournal of Hepatologyen
dc.rights© 2014 European Association for the Study of the Liver. Published by Elsevier B.V. Open access under CC BY-NC-ND license.en
dc.subjectqFibrosisen
dc.subjectLiver fibrosis assessmenten
dc.titleqFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patientsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1016/j.jhep.2014.02.015en
dc.description.versionPublished versionen
dc.identifier.pmid24583249-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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