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Automated fibrosis phenotyping of liver tissue from non-tumor lesions of patients with and without hepatocellular carcinoma after liver transplantation for non-alcoholic fatty liver disease.

Yutaka NakamuraHisamitsu MiyaakiSatoshi MiumaYuko AkazawaMasanori FukusimaRyu SasakiMasafumi HaraguchiAkihiko SoyamaMasaaki HidakaSusumu EguchiKazuhiko Nakao
Published in: Hepatology international (2022)
In patients who underwent liver transplantation, fibrotic histological phenotypes in non-tumor lesions appeared to be different between HCC and non-HCC. Phenotypic analysis of collagen in non-tumor lesions might be an effective and automated method to distinguish HCC from non-HCC on histopathology imaging.
Keyphrases
  • high throughput
  • end stage renal disease
  • machine learning
  • deep learning
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • patient reported outcomes
  • mass spectrometry
  • single cell