<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gole L</submitter><funding>Singapore – China 12th Joint Research Programme</funding><pagination>6384</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10115775</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>The novel targeted therapeutics for hepatitis C virus (HCV) in last decade solved most of the clinical needs for this disease. However, despite antiviral therapies resulting in sustained virologic response (SVR), a challenge remains where the stage of liver fibrosis in some patients remains unchanged or even worsens, with a higher risk of cirrhosis, known as the irreversible group. In this study, we provided novel tissue level collagen structural insight into early prediction of irreversible cases via image based computational analysis with a paired data cohort (of pre- and post-SVR) following direct-acting-antiviral (DAA)-based treatment. Two Photon Excitation and Second Harmonic Generation microscopy was used to image paired biopsies from 57 HCV patients and a fully automated digital col</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies.</pubmed_title><pmcid>PMC10115775</pmcid><funding_grant_id>1610500026</funding_grant_id><pubmed_authors>Wee A</pubmed_authors><pubmed_authors>Young D</pubmed_authors><pubmed_authors>Ong KH</pubmed_authors><pubmed_authors>Han H</pubmed_authors><pubmed_authors>Rao H</pubmed_authors><pubmed_authors>Yu W</pubmed_authors><pubmed_authors>Gole L</pubmed_authors><pubmed_authors>Marini GPL</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors><pubmed_authors>Liu F</pubmed_authors><pubmed_authors>Wei L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies.</name><description>The novel targeted therapeutics for hepatitis C virus (HCV) in last decade solved most of the clinical needs for this disease. However, despite antiviral therapies resulting in sustained virologic response (SVR), a challenge remains where the stage of liver fibrosis in some patients remains unchanged or even worsens, with a higher risk of cirrhosis, known as the irreversible group. In this study, we provided novel tissue level collagen structural insight into early prediction of irreversible cases via image based computational analysis with a paired data cohort (of pre- and post-SVR) following direct-acting-antiviral (DAA)-based treatment. Two Photon Excitation and Second Harmonic Generation microscopy was used to image paired biopsies from 57 HCV patients and a fully automated digital col</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Apr</publication><modification>2025-05-29T19:03:19.498Z</modification><creation>2025-05-29T19:03:19.498Z</creation></dates><accession>S-EPMC10115775</accession><cross_references><pubmed>37076590</pubmed><doi>10.1038/s41598-023-33567-4</doi></cross_references></HashMap>