Deep learning quantification reveals a fundamental prognostic role for ductular reaction in biliary atresia
Iiris Nyholm,
Nelli Sjöblom,
Marjut Pihlajoki
et al.
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%). … Show more
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