Deep learning quantification reveals a fundamental prognostic role for ductular reaction in biliary atresia

Author:

Nyholm Iiris12ORCID,Sjöblom Nelli3ORCID,Pihlajoki Marjut2ORCID,Hukkinen Maria1ORCID,Lohi Jouko3,Heikkilä Päivi3,Mutka Aino3ORCID,Jahnukainen Timo4ORCID,Davenport Mark5ORCID,Heikinheimo Markku267ORCID,Arola Johanna3ORCID,Pakarinen Mikko P.128ORCID

Affiliation:

1. Section of Pediatric Surgery, Pediatric Liver and Gut Research Group, Children and Adolescent Department, New Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

2. Pediatric Research Center, Children and Adolescent Department, New Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

3. Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

4. Department of Pediatric Nephrology and Transplantation, New Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

5. Department of Pediatric Surgery, King’s College Hospital, London, UK

6. Department of Pediatrics, Washington University School of Medicine, St. Louis Children’s Hospital, St. Louis, Missouri, USA

7. Department of Pediatrics, Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

8. Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden

Abstract

Background: We aimed to quantify ductular reaction (DR) in biliary atresia using a neural network in relation to underlying pathophysiology and prognosis. Methods: Image-processing neural network model was applied to 259 cytokeratin-7–stained native liver biopsies of patients with biliary atresia and 43 controls. The model quantified total proportional DR (DR%) composed of portal biliary epithelium (BE%) and parenchymal intermediate hepatocytes (PIH%). The results were related to clinical data, Sirius Red–quantified liver fibrosis, serum biomarkers, and bile acids. Results: In total, 2 biliary atresia biopsies were obtained preoperatively, 116 at Kasai portoenterostomy (KPE) and 141 during post-KPE follow-up. DR% (8.3% vs. 5.9%, p=0.045) and PIH% (1.3% vs. 0.6%, p=0.004) were increased at KPE in patients remaining cholestatic postoperatively. After KPE, patients with subsequent liver transplantation or death showed an increase in DR% (7.9%–9.9%, p = 0.04) and PIH% (1.6%–2.4%, p = 0.009), whereas patients with native liver survival (NLS) showed decreasing BE% (5.5%–3.0%, p = 0.03) and persistently low PIH% (0.9% vs. 1.3%, p = 0.11). In Cox regression, high DR predicted inferior NLS both at KPE [DR% (HR = 1.05, p = 0.01), BE% (HR = 1.05, p = 0.03), and PIH% (HR = 1.13, p = 0.005)] and during follow-up [DR% (HR = 1.08, p<0.0001), BE% (HR = 1.58, p = 0.001), and PIH% (HR = 1.04, p = 0.008)]. DR% correlated with Sirius red–quantified liver fibrosis at KPE (R = 0.47, p<0.0001) and follow-up (R = 0.27, p = 0.004). A close association between DR% and serum bile acids was observed at follow-up (R = 0.61, p<0.001). Liver fibrosis was not prognostic for NLS at KPE (HR = 1.00, p = 0.96) or follow-up (HR = 1.01, p = 0.29). Conclusions: DR predicted NLS in different disease stages before transplantation while associating with serum bile acids after KPE.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Hepatology

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